{"id":95126,"date":"2026-09-07T15:43:42","date_gmt":"2026-09-07T12:43:42","guid":{"rendered":"https:\/\/twodots.gr\/?p=95126"},"modified":"2026-09-07T15:43:44","modified_gmt":"2026-09-07T12:43:44","slug":"intent-horizon-ai-guardrails-liv","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/intent-horizon-ai-guardrails-liv\/","title":{"rendered":"Intent Horizon: \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 AI guardrails \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03bf\u03b9\u03c4\u03bf\u03cd\u03bd \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf Intent Horizon \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1 AI guardrail \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03bf\u03b9\u03c4\u03ac \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf prompt \u03ae \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7.<\/strong> \u03a3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03b7 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03ae\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03bd\u03cc\u03c4\u03b1\u03bd \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c3\u03c4\u03b9\u03c2 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b5\u03c2 activations \u03c4\u03c1\u03b9\u03ce\u03bd \u03bc\u03b9\u03ba\u03c1\u03ce\u03bd \u03b3\u03bb\u03c9\u03c3\u03c3\u03b9\u03ba\u03ce\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b5\u03be\u03b1\u03c3\u03b8\u03b5\u03bd\u03bf\u03cd\u03c3\u03b5 \u03ba\u03b1\u03b8\u03ce\u03c2 \u03c4\u03bf \u03b1\u03b8\u03ce\u03bf narrative framing \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03bd\u03cc\u03c4\u03b1\u03bd \u03b2\u03b1\u03b8\u03cd\u03c4\u03b5\u03c1\u03b1. \u03a4\u03bf Latent Intent Verification (LIV) \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03c0\u03bf\u03bb\u03bb\u03ac \u03c5\u03c0\u03bf\u03c3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03b3\u03b9\u03b1 white-box \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03cc\u03c7\u03b9 \u03c5\u03c0\u03bf\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae adversarial \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#semantic-camouflage-plaisio-adeias\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bb\u03ad\u03be\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03b4\u03af\u03bd\u03b5\u03b9 \u03ac\u03b4\u03b5\u03b9\u03b1<\/a><\/li>\n<li><a href=\"#ti-einai-intent-horizon\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Intent Horizon<\/a><\/li>\n<li><a href=\"#peirama-montela-dedomena-probes\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1<\/a><\/li>\n<li><a href=\"#safety-gap-early-late-layers\">\u03a4\u03bf Safety Gap \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03ba\u03ac\u03bb\u03c5\u03c8\u03b1\u03bd \u03c4\u03b1 layers<\/a><\/li>\n<li><a href=\"#diadromi-simatos-phi-3\">\u0397 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf Phi-3<\/a><\/li>\n<li><a href=\"#geometria-aplos-probe\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03bb\u03cc probe<\/a><\/li>\n<li><a href=\"#ai-efarmoges-agents\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1 AI \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 agents<\/a><\/li>\n<li><a href=\"#liv-policy-engine\">\u03a0\u03bf\u03cd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03c4\u03bf LIV<\/a><\/li>\n<li><a href=\"#oria-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03bf\u03cd\u03bd<\/a><\/li>\n<li><a href=\"#praktiko-plaisio-axiologisis\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#paratirisimotita-prothesis\">\u0391\u03c0\u03cc \u03c4\u03bf moderation \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2<\/a><\/li>\n<\/ul>\n<\/div>\n<p>\u0388\u03bd\u03b1 AI \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03c3\u03b5\u03b9 \u03bd\u03c9\u03c1\u03af\u03c2 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03ae \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9, \u03bb\u03af\u03b3\u03b1 layers \u03b1\u03c1\u03b3\u03cc\u03c4\u03b5\u03c1\u03b1, \u03bd\u03b1 \u03c4\u03bf \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03c3\u03b5\u03b9 \u03c3\u03b1\u03bd \u03b1\u03b8\u03ce\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03ac\u03c3\u03ba\u03b7\u03c3\u03b7. \u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 <em>Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification<\/em>, \u03bc\u03b9\u03b1\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03c4\u03bf\u03c5 Md. Hasib Ur Rahman \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03bf QPAIN 2026 \u03ba\u03b1\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b7 \u03c9\u03c2 arXiv v1.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ba\u03ac\u03b8\u03b5 \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03cc LLM \u03b1\u03c0\u03bf\u03c4\u03c5\u03b3\u03c7\u03ac\u03bd\u03b5\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03af\u03b4\u03b9\u03bf \u03c4\u03c1\u03cc\u03c0\u03bf. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9, \u03cc\u03bc\u03c9\u03c2, \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 Small Language Models \u03cc\u03c4\u03b9 \u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7\u03bd \u03b5\u03af\u03c3\u03bf\u03b4\u03bf \u03ae \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03c3\u03ae\u03bc\u03b1 \u03c0\u03bf\u03c5 \u03c5\u03c0\u03ae\u03c1\u03c7\u03b5 \u03bd\u03c9\u03c1\u03af\u03c4\u03b5\u03c1\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf. \u0393\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03bd <a href=\"https:\/\/twodots.gr\/ai-agents-paragogi-leitourgikes-astochies\/\">AI agents \u03b1\u03c0\u03cc demo \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a>, \u03c4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c5\u03c0\u03b5\u03bd\u03b8\u03cd\u03bc\u03b9\u03c3\u03b7 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03b1\u03b4\u03b9\u03ba\u03cc \u03c6\u03af\u03bb\u03c4\u03c1\u03bf.<\/p>\n<h2 id=\"semantic-camouflage-plaisio-adeias\">\u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03bb\u03ad\u03be\u03b7, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c0\u03bf\u03c5 \u03c4\u03b7\u03c2 \u03b4\u03af\u03bd\u03b5\u03b9 \u03ac\u03b4\u03b5\u03b9\u03b1<\/h2>\n<p>\u03a4\u03b1 \u03c3\u03c5\u03bd\u03b7\u03b8\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 guardrails \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03bd \u03c3\u03c4\u03b7\u03bd \u03c0\u03b5\u03c1\u03af\u03bc\u03b5\u03c4\u03c1\u03bf. \u0388\u03bd\u03b1\u03c2 input classifier \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c4\u03bf prompt \u03c0\u03c1\u03b9\u03bd \u03c6\u03c4\u03ac\u03c3\u03b5\u03b9 \u03c3\u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03b5\u03bd\u03ce \u03ad\u03bd\u03b1\u03c2 output classifier \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c0\u03c1\u03b9\u03bd \u03b4\u03bf\u03b8\u03b5\u03af \u03c3\u03c4\u03bf\u03bd \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7. \u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03ad\u03c7\u03b5\u03b9 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03bb\u03b5\u03be\u03b9\u03bb\u03cc\u03b3\u03b9\u03bf. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c0\u03b5\u03c1\u03af\u03c0\u03c4\u03c9\u03c3\u03b7: \u03c4\u03bf <strong>semantic camouflage<\/strong>, \u03b4\u03b7\u03bb\u03b1\u03b4\u03ae \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03ba\u03c1\u03c5\u03c8\u03b7 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03bf\u03cd\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1 \u03c6\u03b1\u03b9\u03bd\u03bf\u03bc\u03b5\u03bd\u03b9\u03ba\u03ac \u03b8\u03b5\u03bc\u03b9\u03c4\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03b3\u03c1\u03b1\u03c6\u03ae, role-play, \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf \u03ae debugging.<\/p>\n<p>\u03a4\u03bf camouflage \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c6\u03b1\u03bd\u03b5\u03af\u03c2 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2-\u03c3\u03ae\u03bc\u03b1\u03c4\u03b1. \u0388\u03c4\u03c3\u03b9, \u03ad\u03bd\u03b1 \u03c6\u03af\u03bb\u03c4\u03c1\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u00ab\u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03bf \u03c4\u03b1\u03b9\u03bd\u03af\u03b1\u03c2\u00bb \u03ae \u00ab\u03ac\u03c3\u03ba\u03b7\u03c3\u03b7 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u00bb, \u03b5\u03bd\u03ce \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b5\u03b9 \u03ba\u03ac\u03c4\u03b9 \u03c0\u03bf\u03c5 \u03b8\u03b1 \u03ad\u03c0\u03c1\u03b5\u03c0\u03b5 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c8\u03b5\u03b9. \u03a4\u03bf \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b5\u03cd\u03b5\u03b9 \u03bc\u03b5 \u03cc\u03c3\u03b1 \u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bc\u03b5 \u03c3\u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agents-indirect-prompt-injection-epixeiriseis\/\">indirect prompt injection \u03b3\u03b9\u03b1 AI agents<\/a>: \u03c4\u03bf \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b5\u03bd\u03c4\u03bf\u03bb\u03ae\u03c2 \u03ae \u03c4\u03b7\u03c2 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03ae\u03c2 \u03b4\u03c1\u03ac\u03c3\u03b7\u03c2.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Input guardrail<\/p>\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03c4\u03bf \u03bf\u03c1\u03b1\u03c4\u03cc prompt \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf inference. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03bf, \u03b1\u03bb\u03bb\u03ac \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03ac\u03c3\u03b5\u03b9 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03c4\u03c5\u03bb\u03b9\u03c7\u03c4\u03b5\u03af \u03c3\u03b5 \u03b1\u03b8\u03ce\u03bf narrative framing.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a0\u03b5\u03c1\u03af\u03bc\u03b5\u03c4\u03c1\u03bf\u03c2<\/span><span class=\"td-badge\">Surface signal<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">Late-layer \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2<\/p>\n<p>\u0392\u03bb\u03ad\u03c0\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ae \u03c4\u03bf output. \u03a3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7, \u03c4\u03bf benign context \u03b5\u03af\u03c7\u03b5 \u03ae\u03b4\u03b7 \u03bc\u03b5\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b7 \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 harmful intent.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">\u03a4\u03b5\u03bb\u03b9\u03ba\u03cc \u03c3\u03c4\u03ac\u03b4\u03b9\u03bf<\/span><span class=\"td-badge\">Safety Gap<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">Early LIV probe<\/p>\n<p>\u03a0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03c0\u03c1\u03ce\u03b9\u03bc\u03b5\u03c2 activations \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf collapse point. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 white-box \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 model-specific calibration.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Latent signal<\/span><span class=\"td-badge\">\u03a0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf checkpoint<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"ti-einai-intent-horizon\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Intent Horizon<\/h2>\n<p>\u039a\u03b1\u03b8\u03ce\u03c2 \u03ad\u03bd\u03b1 transformer \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03bf prompt, \u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc layer \u03c3\u03b5 layer. \u0397 \u03c5\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9, \u03c3\u03c4\u03b1 \u03c0\u03c1\u03ce\u03c4\u03b1 \u03c3\u03c4\u03ac\u03b4\u03b9\u03b1, \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af \u03bc\u03b9\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c5\u03c0\u03bf\u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03bf\u03cd\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2. \u039a\u03b1\u03b8\u03ce\u03c2 \u03cc\u03bc\u03c9\u03c2 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c4\u03bf benign context, \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf \u03c3\u03ae\u03bc\u03b1 \u03b5\u03be\u03b1\u03c3\u03b8\u03b5\u03bd\u03b5\u03af. \u03a4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03cc\u03c0\u03bf\u03c5 \u03b7 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03c4\u03b1\u03c1\u03c1\u03ad\u03b5\u03b9 \u03bf\u03bd\u03bf\u03bc\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 <strong>Intent Horizon<\/strong>.<\/p>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af \u03c4\u03b7 \u03bc\u03ad\u03b3\u03b9\u03c3\u03c4\u03b7 \u03b1\u03bd\u03b1\u03ba\u03c4\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c3\u03c5\u03bd\u03ae\u03b8\u03c9\u03c2 \u03c3\u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf 15%\u201320% \u03c4\u03bf\u03c5 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03bf\u03cd \u03b2\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd early probe \u03c3\u03c4\u03bf 15%. \u0391\u03c5\u03c4\u03cc \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0395\u03af\u03bd\u03b1\u03b9 \u03b5\u03bc\u03c0\u03b5\u03b9\u03c1\u03b9\u03ba\u03cc \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03b9, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b7\u03bb\u03ce\u03bd\u03b5\u03b9 \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1, \u03c4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b1 training data.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u03a4\u03bf 15% \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b1\u03b3\u03b9\u03ba\u03cc layer.<\/strong> \u0397 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae\u03c2 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03ba\u03ac\u03bd\u03b5 layer sweep \u03ba\u03b1\u03b9 calibration \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c3\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u00bb, \u03cc\u03c7\u03b9 \u00ab\u03b1\u03bd\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 \u03c4\u03bf layer 4\u00bb. \u039c\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae weights, quantization, fine-tuning \u03ae prompt template \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf checkpoint.<\/p>\n<\/aside>\n<h2 id=\"peirama-montela-dedomena-probes\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1<\/h2>\n<p>\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03ad\u03b3\u03b9\u03bd\u03b5 \u03c3\u03c4\u03b1 Microsoft Phi-3-mini-4k-instruct 3,8B, Qwen2.5-1.5B-Instruct 1,5B \u03ba\u03b1\u03b9 Google Gemma-2b-it 2B. \u039a\u03b1\u03b9 \u03c4\u03b1 \u03c4\u03c1\u03af\u03b1 \u03c6\u03bf\u03c1\u03c4\u03ce\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 4-bit NormalFloat quantization \u03ce\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03b6\u03b5\u03b9 deployments \u03bc\u03b5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03c0\u03cc\u03c1\u03bf\u03c5\u03c2. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd \u03bf\u03b9\u03ba\u03bf\u03b3\u03b5\u03bd\u03b5\u03b9\u03ce\u03bd \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 \u03b1\u03bd \u03c4\u03bf \u03c6\u03b1\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ad\u03c1\u03b1 \u03b1\u03c0\u03cc \u03bc\u03af\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03cc\u03bb\u03b1 \u03c4\u03b1 LLMs.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03c4\u03c9\u03bd linear probes \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd 2.000 \u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03b7\u03bc\u03ad\u03bd\u03b1 \u03b6\u03b5\u03cd\u03b3\u03b7 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c1\u03b7\u03c4\u03ac \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03ce\u03bd prompts \u03b1\u03c0\u03cc \u03c4\u03bf PKU-SafeRLHF. \u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf 100 semantically camouflaged prompts \u03c7\u03c9\u03c1\u03af\u03c2 \u03c4\u03b1 \u03c0\u03c1\u03bf\u03c6\u03b1\u03bd\u03ae trigger words \u03c4\u03bf\u03c5 training set. \u039f \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03ae\u03c4\u03b1\u03bd \u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03b8\u03b5\u03af \u03b1\u03bd \u03bf classifier \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 latent harm signature \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7\u03bd \u03b1\u03bb\u03bb\u03b1\u03b3\u03ae \u03c4\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03bf\u03cd framing, \u03cc\u03c7\u03b9 \u03b1\u03bd \u03b1\u03c0\u03bf\u03bc\u03bd\u03b7\u03bc\u03bf\u03bd\u03b5\u03cd\u03b5\u03b9 \u03bb\u03ad\u03be\u03b5\u03b9\u03c2.<\/p>\n<p>\u039f\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03ad\u03c2 \u03b5\u03be\u03ae\u03b3\u03b1\u03b3\u03b1\u03bd activations \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 \u03c0\u03c1\u03ce\u03b9\u03bc\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03c4\u03bf 15% \u03c4\u03bf\u03c5 \u03b2\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b5\u03bb\u03b5\u03c5\u03c4\u03b1\u03af\u03bf hidden layer. \u03a0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03b1\u03c5\u03c4\u03ac \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b1\u03bd logistic-regression classifiers \u03bc\u03b5 C=1,0 \u03ba\u03b1\u03b9 L2 penalty. \u03a4\u03bf \u03c0\u03c1\u03ce\u03b9\u03bc\u03bf probe \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c4\u03bf <strong>Latent Intent Verification (LIV)<\/strong>, \u03b5\u03bd\u03ce \u03c4\u03bf late probe \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03b5\u03b9 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03bf\u03c5 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">\u03a4\u03ad\u03c3\u03c3\u03b5\u03c1\u03b1 \u03b5\u03c0\u03b1\u03bb\u03b7\u03b8\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03bf\u03c2<\/p>\n<p class=\"td-chart-subtitle\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03b1\u03c6\u03bf\u03c1\u03bf\u03cd\u03bd \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03ac\u03bb\u03bb\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03ae workloads.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3<\/span><span class=\"td-metric-label\">\u03bf\u03b9\u03ba\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b5\u03c2 SLM \u03bc\u03b5 4-bit NF4 quantization<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">2.000<\/span><span class=\"td-metric-label\">\u03b9\u03c3\u03bf\u03c1\u03c1\u03bf\u03c0\u03b7\u03bc\u03ad\u03bd\u03b1 training pairs \u03b1\u03c0\u03cc PKU-SafeRLHF<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">100<\/span><span class=\"td-metric-label\">camouflaged prompts \u03c3\u03c4\u03bf \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc evaluation set<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">58%\u201365%<\/span><span class=\"td-metric-label\">detection rate \u03c4\u03c9\u03bd early LIV probes \u03c3\u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<h2 id=\"safety-gap-early-late-layers\">\u03a4\u03bf Safety Gap \u03c0\u03bf\u03c5 \u03b1\u03c0\u03bf\u03ba\u03ac\u03bb\u03c5\u03c8\u03b1\u03bd \u03c4\u03b1 layers<\/h2>\n<p>\u03a3\u03c4\u03bf held-out adversarial set, \u03c4\u03b1 late-layer probes \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd \u03bd\u03b1 \u03b5\u03bd\u03c4\u03bf\u03c0\u03af\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03bb\u03b5\u03b9\u03bf\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd camouflaged attacks. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 detection rate 18% \u03b3\u03b9\u03b1 \u03c4\u03bf Phi-3 \u03ba\u03b1\u03b9 22% \u03b3\u03b9\u03b1 \u03c4\u03bf Gemma-2b, \u03b5\u03bd\u03ce \u03c4\u03b1 early LIV probes \u03ba\u03b9\u03bd\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03b1\u03c0\u03cc 58% \u03ad\u03c9\u03c2 65% \u03c3\u03c4\u03b9\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2. \u0393\u03b9\u03b1 \u03c4\u03bf Qwen2.5-1.5B, \u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf\u03c5 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03c3\u03c4\u03bf layer 4 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03c6\u03b5\u03c1\u03b5 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 50%.<\/p>\n<p>\u039f \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03b1\u03c2 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03c4\u03bf\u03c5 LIV \u03c9\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b8\u03ce\u03c1\u03b9\u03bf 20%\u201350% \u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c4\u03c9\u03bd late-layer guardrails, \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae. \u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c4\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1: \u03c4\u03bf harmful intent \u03b4\u03b5\u03bd \u03ad\u03bb\u03b5\u03b9\u03c0\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u00b7 \u03b5\u03af\u03c7\u03b5 \u03b3\u03af\u03bd\u03b5\u03b9 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03cc\u03c4\u03b5\u03c1\u03bf \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03b5\u03af \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ac \u03b1\u03c0\u03cc \u03c4\u03b1 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae queries \u03cc\u03c4\u03b1\u03bd \u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03b3\u03b9\u03bd\u03cc\u03c4\u03b1\u03bd \u03b1\u03c1\u03b3\u03ac.<\/p>\n<p>\u0394\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03bf\u03c5\u03bc\u03b5 \u03b1\u03c5\u03c4\u03ac \u03c4\u03b1 detection rates \u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03cc production SLA. \u03a4\u03bf dataset \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03c0\u03b5\u03c1\u03b9\u03ad\u03c7\u03b5\u03b9 100 custom prompts, \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac \u03ba\u03b1\u03b9 \u03b7 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c6\u03bf\u03c1\u03ac \u03ad\u03bd\u03b1\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf classifier \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 activations. \u0397 \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03bd\u03b5\u03b9 <em>\u03c0\u03bf\u03cd<\/em> \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c5\u03c0\u03ac\u03c1\u03c7\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf safety signal \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03cc\u03c4\u03b9 \u03bb\u03cd\u03bd\u03b5\u03b9 \u03bf\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf jailbreak problem.<\/p>\n<h2 id=\"diadromi-simatos-phi-3\">\u0397 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae \u03c4\u03bf\u03c5 \u03c3\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf Phi-3<\/h2>\n<p>\u0388\u03bd\u03b1 layer-by-layer sweep \u03c3\u03c4\u03bf Phi-3 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c0\u03b9\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03bd \u03c0\u03c4\u03ce\u03c3\u03b7. \u03a3\u03c4\u03b1 layers 0\u201310, \u03c4\u03b7 \u03bb\u03b5\u03b3\u03cc\u03bc\u03b5\u03bd\u03b7 Truth Zone \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2, \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03b1\u03b3\u03bd\u03ce\u03c1\u03b9\u03c3\u03b7\u03c2 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03bf\u03cd\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 \u03ad\u03bc\u03b5\u03bd\u03b5 \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc 60% \u03c0\u03b1\u03c1\u03ac \u03c4\u03bf benign narrative wrapper. \u039c\u03b5\u03c4\u03b1\u03be\u03cd \u03c4\u03c9\u03bd layers 10 \u03ba\u03b1\u03b9 12 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03c3\u03c4\u03b7\u03ba\u03b5 \u03c4\u03bf collapse point. \u0391\u03c0\u03cc \u03c4\u03bf layer 12 \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac, \u03c3\u03c4\u03b7\u03bd Camouflage Zone, \u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ad\u03c0\u03b5\u03c6\u03c4\u03b5 \u03b1\u03c0\u03cc\u03c4\u03bf\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c3\u03af\u03b1\u03b6\u03b5 \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd \u03c3\u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03ad\u03be\u03bf\u03b4\u03bf.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c4\u03bf sweep \u03b1\u03c6\u03bf\u03c1\u03ac \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf Phi-3 setup. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03b3\u03b9\u03b1\u03c4\u03af \u03ad\u03bd\u03b1\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf \u03c0\u03bf\u03c5 \u03c0\u03b1\u03c1\u03b5\u03bc\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03bd\u03c9\u03c1\u03af\u03c4\u03b5\u03c1\u03b1. \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b1\u03b3\u03ba\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03bf\u03c1\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c9\u03c2 \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b7\u03bd \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1, \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b1\u03bd \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b7 contextualization \u03ba\u03ac\u03bd\u03b5\u03b9 \u03c4\u03bf harmful request \u03bd\u03b1 \u03bc\u03bf\u03b9\u03ac\u03b6\u03b5\u03b9 \u03b8\u03b5\u03bc\u03b9\u03c4\u03cc.<\/p>\n<p>\u0397 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd <a href=\"https:\/\/twodots.gr\/asfaleia-llm-meta-to-fine-tuning-prompt-template-ropd\/\">\u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 LLM \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf fine-tuning<\/a>: \u03c4\u03bf safety behavior \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b8\u03b5\u03c9\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03b2\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b1\u03bc\u03b5\u03c4\u03ac\u03b2\u03bb\u03b7\u03c4\u03b7 \u03c3\u03b5 \u03bd\u03ad\u03bf template, context \u03ae deployment.<\/p>\n<h2 id=\"geometria-aplos-probe\">\u0393\u03b9\u03b1\u03c4\u03af \u03b7 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03af\u03b1 \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b1\u03c0\u03bb\u03cc probe<\/h2>\n<p>\u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c0\u03c1\u03bf\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c3\u03b5 \u03b4\u03cd\u03bf \u03b4\u03b9\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 hidden states \u03b1\u03c0\u03cc safe, harmful \u03ba\u03b1\u03b9 camouflaged prompts. \u03a3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc layer, \u03c4\u03b1 camouflaged samples \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf cluster \u03c4\u03c9\u03bd \u03b1\u03c3\u03c6\u03b1\u03bb\u03ce\u03bd queries, \u03bc\u03b5 \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bf \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03cc\u03c2 classifier \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2 \u03bd\u03b1 \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03ac\u03b3\u03b5\u03b9 false negatives. \u03a3\u03c4\u03bf \u03c0\u03c1\u03ce\u03b9\u03bc\u03bf layer 4, \u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 samples \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 outliers \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03c4\u03bf harmful cluster.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b3\u03b5\u03c9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ae \u03b1\u03c0\u03bf\u03bc\u03cc\u03bd\u03c9\u03c3\u03b7 \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf LIV \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b5\u03bb\u03b1\u03c6\u03c1\u03cd linear probe \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf shadow LLM. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03bf \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf residual stream \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03bd classifier \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b5\u03af \u03ba\u03b1\u03b9 \u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03bf\u03bc\u03b7\u03b8\u03b5\u03af \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03b1\u03c0\u03bb\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 probe, \u03c9\u03c3\u03c4\u03cc\u03c3\u03bf, \u03b4\u03b5\u03bd \u03bc\u03b7\u03b4\u03b5\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf engineering \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 causal \u03ba\u03b1\u03c4\u03b1\u03bd\u03cc\u03b7\u03c3\u03b7 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03b1\u03bd\u03b8\u03b5\u03ba\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03ad\u03bd\u03b1\u03bd\u03c4\u03b9 \u03c3\u03b5 adaptive attacks.<\/p>\n<h2 id=\"ai-efarmoges-agents\">\u03a4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03b3\u03b9\u03b1 AI \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 agents<\/h2>\n<p>\u03a3\u03b5 \u03ad\u03bd\u03b1 chatbot, \u03ad\u03bd\u03b1 false negative \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03c0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf. \u03a3\u03b5 \u03ad\u03bd\u03b1\u03bd agent \u03bc\u03b5 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 email, CRM, \u03b1\u03c1\u03c7\u03b5\u03af\u03b1, \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03ae \u03c3\u03c5\u03bd\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2, \u03b7 \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c3\u03b5 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03b7 \u03b9\u03b4\u03ad\u03b1 \u03c4\u03b7\u03c2 white-box safety \u03b1\u03c0\u03bf\u03ba\u03c4\u03ac \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b2\u03b1\u03c1\u03cd\u03c4\u03b7\u03c4\u03b1 \u03cc\u03c3\u03bf \u03c4\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b1\u03c0\u03bf\u03ba\u03c4\u03bf\u03cd\u03bd \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bd\u03bf\u03bc\u03af\u03b1. \u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b1\u03bd \u03bf agent \u00ab\u03c0\u03ad\u03c4\u03c5\u03c7\u03b5\u00bb, \u03b1\u03bb\u03bb\u03ac \u03bd\u03b1 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03b4\u03c1\u03bf\u03bc\u03ae, \u03c4\u03b1 \u03b5\u03bd\u03b4\u03b9\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03b1 unsafe steps, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/crate-elegchos-mobile-ai-agent-epitychia-asfaleia\/\">CRATE \u03b3\u03b9\u03b1 mobile AI agents<\/a>.<\/p>\n<p>\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03ac\u03bc\u03b5\u03c3\u03b1 \u03c4\u03b1 moderation APIs. \u0395\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03b5\u03b9 \u03ac\u03bc\u03c5\u03bd\u03b1 \u03c3\u03b5 \u03b2\u03ac\u03b8\u03bf\u03c2: input checks, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 permissions, allowlists \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, approval gates \u03c3\u03c4\u03b9\u03c2 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2, output monitoring \u03ba\u03b1\u03b9, \u03cc\u03c4\u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03ba\u03b1\u03b9 \u03b7 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae \u03c4\u03bf \u03b5\u03c0\u03b9\u03c4\u03c1\u03ad\u03c0\u03bf\u03c5\u03bd, \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b5\u03c0\u03b1\u03bb\u03ae\u03b8\u03b5\u03c5\u03c3\u03b7. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/dynamika-dikaiomata-ai-agents-elachisti-prosvasi\/\">\u03b4\u03c5\u03bd\u03b1\u03bc\u03b9\u03ba\u03ac \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7\u03c2<\/a> \u03bc\u03b5\u03b9\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b6\u03b7\u03bc\u03b9\u03ac \u03b1\u03ba\u03cc\u03bc\u03b7 \u03ba\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1 safety classifier \u03b1\u03c3\u03c4\u03bf\u03c7\u03ae\u03c3\u03b5\u03b9.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u0391\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2<\/p>\n<p class=\"td-decision-band-title\">\u03a4\u03bf LIV \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b1\u03c2, \u03cc\u03c7\u03b9 \u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03be\u03bf\u03c5\u03c3\u03b9\u03bf\u03b4\u03cc\u03c4\u03b7\u03c3\u03b7\u03c2<\/p>\n<p>\u0388\u03bd\u03b1 \u03c5\u03c8\u03b7\u03bb\u03cc early-layer risk score \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae, \u03bd\u03b1 \u03c0\u03b1\u03b3\u03ce\u03c3\u03b5\u03b9 tool execution \u03ae \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7. \u0397 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ac\u03b4\u03b5\u03b9\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc downstream policy engine \u03bc\u03b5 least privilege, complete mediation, \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2.<\/p>\n<\/div>\n<\/div>\n<h2 id=\"liv-policy-engine\">\u03a0\u03bf\u03cd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03c4\u03b1\u03c7\u03b8\u03b5\u03af \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac \u03c4\u03bf LIV<\/h2>\n<p>\u0397 \u03c0\u03b9\u03bf \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c9\u03c2 risk signal \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 policy engine. \u0391\u03bd \u03c4\u03bf early probe \u03b4\u03ce\u03c3\u03b5\u03b9 \u03c5\u03c8\u03b7\u03bb\u03ae \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 harm, \u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03b5\u03b9 tool execution, \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7, \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf context \u03ae \u03bd\u03b1 \u03b4\u03c1\u03bf\u03bc\u03bf\u03bb\u03bf\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03c3\u03b5 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03c5\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c4\u03cd\u03c0\u03bf \u03c4\u03b7\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2, \u03c4\u03bf privilege level \u03c4\u03bf\u03c5 \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7, \u03c4\u03b7\u03bd \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c4\u03c9\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c4\u03b7 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03c4\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2.<\/p>\n<p>\u03a4\u03bf deployment \u03c0\u03c1\u03bf\u03cb\u03c0\u03bf\u03b8\u03ad\u03c4\u03b5\u03b9 white-box \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b9\u03c2 intermediate activations. \u0391\u03c5\u03c4\u03cc \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c3\u03b5 self-hosted \u03ae \u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03b1 instrumented \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1\u00b7 \u03ad\u03bd\u03b1 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc API \u03c0\u03bf\u03c5 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf residual stream \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bf probe. \u0397 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 dataset \u03c0\u03bf\u03c5 \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5\u03c2 \u03c4\u03b7\u03c2, metrics \u03b3\u03b9\u03b1 false positives \u03ba\u03b1\u03b9 false negatives \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae incident workflow.<\/p>\n<p>\u0397 \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf score \u03bc\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agents-behavioral-testing\/\">behavioral testing \u03b3\u03b9\u03b1 AI agents<\/a> \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03c6\u03b1\u03bd\u03b5\u03af \u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03b5\u03c0\u03b9\u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03b1 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03bc\u03c0\u03bb\u03bf\u03ba\u03ac\u03c1\u03b5\u03b9 \u03b4\u03c5\u03c3\u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b5\u03c2 \u03c1\u03bf\u03ad\u03c2, \u03b5\u03bd\u03ce \u03b7 <a href=\"https:\/\/twodots.gr\/direag-ai-den-empistevetai-tyfla-vevaiotita\/\">\u03b2\u03b1\u03b8\u03bc\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2 AI<\/a> \u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 raw score \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b7 \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c7\u03c9\u03c1\u03af\u03c2 outcomes \u03b1\u03c0\u03cc \u03c4\u03bf \u03af\u03b4\u03b9\u03bf workload.<\/p>\n<h2 id=\"oria-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03c5\u03c6\u03c4\u03bf\u03cd\u03bd<\/h2>\n<p>\u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03b7 \u03b5\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 intermediate activations \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 inference overhead. \u03a4\u03bf paper \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf LIV \u03b5\u03bb\u03b1\u03c6\u03c1\u03cd \u03c3\u03b5 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03bc\u03b5 \u03ad\u03bd\u03b1 \u03c0\u03bb\u03ae\u03c1\u03b5\u03c2 shadow model, \u03b1\u03bb\u03bb\u03ac \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bc\u03b5\u03bb\u03b7\u03c4\u03ad\u03bf \u03b3\u03b9\u03b1 real-time \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2. \u0397 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af latency testing \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc workload \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2 \u03c4\u03bf\u03c5 logistic classifier.<\/p>\n<p>\u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03ad\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b9\u03c4\u03b9\u03b8\u03ad\u03bc\u03b5\u03bd\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ac \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03c0\u03af\u03b8\u03b5\u03c3\u03b7 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf layer \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03b5\u03af\u03bb\u03b5\u03b9 \u03c4\u03bf harm signal \u03bd\u03c9\u03c1\u03af\u03c4\u03b5\u03c1\u03b1. \u03a4\u03bf paper \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 dynamic probing depth \u03c9\u03c2 \u03bc\u03b5\u03bb\u03bb\u03bf\u03bd\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7, \u03cc\u03c7\u03b9 \u03c9\u03c2 \u03ae\u03b4\u03b7 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03bb\u03cd\u03c3\u03b7. \u03a4\u03c1\u03af\u03c4\u03bf\u03bd, \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03c1\u03af\u03b1 SLMs \u03ba\u03b1\u03b9 100 custom camouflaged prompts. \u0397 \u03b3\u03b5\u03bd\u03af\u03ba\u03b5\u03c5\u03c3\u03b7 \u03c3\u03b5 frontier models, multimodal \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03ac\u03bb\u03bb\u03b5\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03ad\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>Evidence status:<\/strong> \u03c0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 arXiv v1 \u03c4\u03b7\u03c2 27\u03b7\u03c2 \u0399\u03bf\u03c5\u03bd\u03af\u03bf\u03c5 2026, \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03bf QPAIN 2026, \u03bc\u03b5 5 \u03c3\u03b5\u03bb\u03af\u03b4\u03b5\u03c2 \u03ba\u03b1\u03b9 100 custom evaluation prompts. \u03a4\u03b1 claims \u03c4\u03bf\u03c5 \u03ac\u03c1\u03b8\u03c1\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03b1\u03bd\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b1 experiments\u00b7 \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf LIV \u03c9\u03c2 \u03ce\u03c1\u03b9\u03bc\u03bf \u03b5\u03bc\u03c0\u03bf\u03c1\u03b9\u03ba\u03cc standard \u03ae \u03c9\u03c2 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03ac\u03bc\u03c5\u03bd\u03b1 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5.<\/p>\n<\/aside>\n<h2 id=\"praktiko-plaisio-axiologisis\">\u0388\u03bd\u03b1 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03b3\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2<\/h2>\n<p>\u039c\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 latent probing \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b4\u03b5\u03c3\u03bc\u03b5\u03c5\u03c4\u03b5\u03af \u03c3\u03b5 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03cc rollout. \u0397 \u03c3\u03b5\u03b9\u03c1\u03ac \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b7\u03bc\u03b1\u03c3\u03af\u03b1: \u03c0\u03c1\u03ce\u03c4\u03b1 \u03b1\u03c0\u03bf\u03c3\u03b1\u03c6\u03b7\u03bd\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03c4\u03bf\u03c5 agent, \u03bc\u03b5\u03c4\u03ac \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf latent signal \u03ba\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03bf \u03c4\u03ad\u03bb\u03bf\u03c2 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03bc\u03b5 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae. \u03a4\u03bf NIST AI RMF \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c9\u03c2 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7, \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5, \u03cc\u03c7\u03b9 \u03c9\u03c2 one-off certification.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u03a0\u03b9\u03bb\u03bf\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 LIV \u03c3\u03b5 7 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf threat model \u03c4\u03bf\u03c5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf\u03c5 agent<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03bc\u03b7 \u03b1\u03bd\u03b1\u03c3\u03c4\u03c1\u03ad\u03c8\u03b9\u03bc\u03b5\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bc\u03bf\u03c1\u03c6\u03ad\u03c2 semantic camouflage \u03c0\u03bf\u03c5 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c3\u03b1\u03c2 support, e-commerce \u03ae automation workflow.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03c1\u03ce\u03c4\u03b1 permissions \u03ba\u03b1\u03b9 blast radius<\/strong>\n<p>\u0395\u03c6\u03b1\u03c1\u03bc\u03cc\u03c3\u03c4\u03b5 least privilege, granular tool interfaces \u03ba\u03b1\u03b9 downstream authorization \u03c0\u03c1\u03b9\u03bd \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03c4\u03b5 \u03bf\u03c0\u03bf\u03b9\u03bf\u03b4\u03ae\u03c0\u03bf\u03c4\u03b5 probe \u03c9\u03c2 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf risk signal.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf evaluation set<\/strong>\n<p>\u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03bb\u03ac\u03b2\u03b5\u03c4\u03b5 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae, \u03c1\u03b7\u03c4\u03ac harmful \u03ba\u03b1\u03b9 semantically wrapped prompts \u03c3\u03c4\u03b9\u03c2 \u03b3\u03bb\u03ce\u03c3\u03c3\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b1 contexts \u03c4\u03b7\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03b9\u03b1\u03c1\u03c1\u03bf\u03ae \u03b1\u03c0\u03cc \u03c4\u03b1 training examples \u03c4\u03bf\u03c5 probe.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u039a\u03ac\u03bd\u03c4\u03b5 layer sweep \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf<\/strong>\n<p>\u039c\u03b7\u03bd \u03b1\u03bd\u03c4\u03b9\u03b3\u03c1\u03ac\u03c8\u03b5\u03c4\u03b5 \u03c4\u03bf 15%. \u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03bf\u03cd \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03c4\u03bf harmful intent \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc quantization, fine-tuning \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc prompt template.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1, \u03c4\u03c1\u03b9\u03b2\u03ae \u03ba\u03b1\u03b9 latency<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 detection rate, false positives, false negatives \u03ba\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf \u03c7\u03c1\u03cc\u03bd\u03bf inference \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03af\u03c0\u03b5\u03b4\u03bf \u03ba\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u03a3\u03c5\u03bd\u03b4\u03ad\u03c3\u03c4\u03b5 thresholds \u03bc\u03b5 \u03ba\u03bb\u03b9\u03bc\u03b1\u03ba\u03c9\u03c4\u03ad\u03c2 \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ad\u03c2<\/strong>\n<p>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03c0\u03cc\u03c4\u03b5 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 allow, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03c9\u03bd, \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc\u03c4\u03b5\u03c1\u03bf\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2, human handoff \u03ae block, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c6\u03ae\u03bd\u03b5\u03c4\u03b5 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03ae \u03c4\u03bf\u03c5.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b5 adaptive attacks \u03ba\u03b1\u03b9 drift<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 shadow mode, red teaming \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03b4\u03b9\u03ba\u03cc recalibration \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc \u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ae workflow \u03ba\u03b1\u03b9 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03c4\u03b5 audit trail \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 override.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03b5\u03c0\u03ad\u03bd\u03b4\u03c5\u03c3\u03b7 \u03c3\u03b5 \u03bd\u03ad\u03bf safety sensor \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2. \u03a4\u03bf <a href=\"https:\/\/twodots.gr\/agentic-ai-security-stack-controls-technologikes-ependyseis\/\">agentic AI security stack<\/a> \u03b2\u03bf\u03b7\u03b8\u03ac \u03bd\u03b1 \u03b9\u03b5\u03c1\u03b1\u03c1\u03c7\u03b7\u03b8\u03b5\u03af \u03b1\u03bd \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf \u03b5\u03c5\u03c1\u03ce \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03ac\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 permissions, isolation, observability, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 gates \u03ae white-box probing. \u0388\u03bd\u03b1 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc probe \u03bc\u03b5 \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf downstream authorization \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03cc \u03c4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9 \u03b6\u03b7\u03bc\u03b9\u03ac\u03c2.<\/p>\n<h2 id=\"paratirisimotita-prothesis\">\u0391\u03c0\u03cc \u03c4\u03bf moderation \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03c4\u03b7\u03c1\u03b7\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03b7\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2<\/h2>\n<p>\u03a4\u03bf \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc\u03c4\u03b5\u03c1\u03bf \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03c4\u03bf\u03c5 paper \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc. \u0397 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b1\u03c0\u03cc \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf, \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03ae\u03b4\u03b7 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u00ab\u03bd\u03bf\u03bc\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b5\u03b9\u00bb \u03c4\u03bf \u03ba\u03b1\u03ba\u03cc\u03b2\u03bf\u03c5\u03bb\u03bf \u03b1\u03af\u03c4\u03b7\u03bc\u03b1 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03c4\u03bf \u03b1\u03b8\u03ce\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf. \u0397 \u03c0\u03b1\u03c1\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 \u03bd\u03c9\u03c1\u03af\u03c4\u03b5\u03c1\u03c9\u03bd states \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03cc \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b1, \u03c0\u03bf\u03c5 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03ce\u03c3\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03c5\u03c1\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bc\u03b5\u03c4\u03c1\u03b9\u03ba\u03ac guardrails.<\/p>\n<p>\u0393\u03b9\u03b1 \u03c4\u03bf\u03c5\u03c2 business owners, \u03c4\u03bf \u03b4\u03b9\u03bf\u03b9\u03ba\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03be\u03af\u03c3\u03bf\u03c5 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc: \u03cc\u03c3\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03be\u03bf\u03c5\u03c3\u03af\u03b1 \u03b4\u03af\u03bd\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03ad\u03bd\u03b1 AI workflow, \u03c4\u03cc\u03c3\u03bf \u03bb\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c3\u03b1\u03b9 \u03c3\u03b5 \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03b4\u03b9\u03ba\u03bb\u03af\u03b4\u03b1. \u03a4\u03bf LIV \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03c3\u03b1 \u03ba\u03b1\u03c4\u03b5\u03cd\u03b8\u03c5\u03bd\u03c3\u03b7 \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03cc\u03c6\u03b5\u03bb\u03bf\u03c2 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b7 \u03ce\u03c1\u03b9\u03bc\u03b7 \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af model-specific calibration, \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1 permissions, \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae \u03c0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03cd\u03b8\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03b5\u03c5\u03b8\u03cd\u03bd\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03af \u03bc\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03c1\u03ac\u03c3\u03b7<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 guardrails \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c1\u03af\u03c3\u03ba\u03bf \u03c4\u03bf\u03c5 workflow<\/p>\n<p>\u0397 TWO DOTS \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03b9 AI automation \u03bc\u03b5 granular permissions, observable execution, \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b1 approval gates \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 failure scenarios, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1 latent risk signal \u03bd\u03b1 \u03bf\u03b4\u03b7\u03b3\u03b5\u03af \u03c3\u03b5 \u03c3\u03b1\u03c6\u03ae \u03c0\u03bf\u03bb\u03b9\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03c8\u03b5\u03c5\u03b4\u03ae \u03b1\u03af\u03c3\u03b8\u03b7\u03c3\u03b7 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03bb\u03cd\u03c3\u03b5\u03b9\u03c2 AI \u03b1\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 semantic camouflage;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b1\u03c0\u03cc\u03ba\u03c1\u03c5\u03c8\u03b7 \u03b5\u03c0\u03b9\u03b2\u03bb\u03b1\u03b2\u03bf\u03cd\u03c2 \u03c0\u03c1\u03cc\u03b8\u03b5\u03c3\u03b7\u03c2 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c6\u03b1\u03b9\u03bd\u03bf\u03bc\u03b5\u03bd\u03b9\u03ba\u03ac \u03b1\u03b8\u03ce\u03bf \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf, \u03cc\u03c0\u03c9\u03c2 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03b3\u03c1\u03b1\u03c6\u03ae, role-play \u03ae debugging, \u03ce\u03c3\u03c4\u03b5 \u03ad\u03bd\u03b1\u03c2 \u03b5\u03c0\u03b9\u03c6\u03b1\u03bd\u03b5\u03b9\u03b1\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03bd\u03b1 \u03bc\u03b7\u03bd \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b5\u03cd\u03ba\u03bf\u03bb\u03b1 \u03c4\u03bf\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c4\u03cc\u03c7\u03bf.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Intent Horizon;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03ba\u03c1\u03af\u03c3\u03b9\u03bc\u03bf \u03b2\u03ac\u03b8\u03bf\u03c2 \u03cc\u03c0\u03bf\u03c5, \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1, \u03b7 \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ae \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03c4\u03bf\u03c5 harmful intent \u03c7\u03ac\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03ac \u03c4\u03b7\u03c2 \u03ba\u03b1\u03b8\u03ce\u03c2 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf benign narrative framing.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf Latent Intent Verification;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf LIV \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c0\u03bf\u03c5 \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03b5\u03bb\u03b1\u03c6\u03c1\u03cd linear probe \u03c3\u03b5 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b5\u03c2 activations \u03c4\u03bf\u03c5 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf\u03c5, \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf collapse \u03c4\u03bf\u03c5 harm signal.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03b1 Phi-3-mini-4k-instruct 3,8B, Qwen2.5-1.5B-Instruct 1,5B \u03ba\u03b1\u03b9 Gemma-2b-it 2B, \u03cc\u03bb\u03b1 \u03c6\u03bf\u03c1\u03c4\u03c9\u03bc\u03ad\u03bd\u03b1 \u03bc\u03b5 4-bit NF4 quantization.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03bf 15% \u03c4\u03bf\u03c5 \u03b2\u03ac\u03b8\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03b8\u03bf\u03bb\u03b9\u03ba\u03cc\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0389\u03c4\u03b1\u03bd \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03c4\u03cc\u03c7\u03b5\u03c5\u03c3\u03b7\u03c2 \u03c4\u03c9\u03bd early probes \u03c3\u03c4\u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7. \u03a4\u03bf \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 Intent Horizon \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd\u03ac \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03bc\u03ad\u03b3\u03b5\u03b8\u03bf\u03c2, training data \u03ba\u03b1\u03b9 deployment setup, \u03b5\u03c0\u03bf\u03bc\u03ad\u03bd\u03c9\u03c2 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03bd\u03ad\u03bf layer sweep.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03c4\u03bf LIV \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03c3\u03b5\u03b9 input \u03ba\u03b1\u03b9 output guardrails;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0395\u03af\u03bd\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf \u03bd\u03b1 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03c5\u03bc\u03c0\u03bb\u03b7\u03c1\u03c9\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc risk signal \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 defense-in-depth \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03bc\u03b5 least privilege, downstream authorization, output monitoring \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b8\u03c1\u03ce\u03c0\u03b9\u03bd\u03b7 \u03ad\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039b\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03bc\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03cc AI API;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03b1. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 intermediate activations. \u0388\u03bd\u03b1 API \u03c0\u03bf\u03c5 \u03b5\u03ba\u03b8\u03ad\u03c4\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf input \u03ba\u03b1\u03b9 \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc output \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03c4\u03bf residual stream \u03c0\u03bf\u03c5 \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af \u03bf probe.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 threat model, \u03b4\u03b9\u03ba\u03b1\u03b9\u03ce\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c3\u03c6\u03ac\u03bb\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b3\u03b9\u03b1 \u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf AI workflow, \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf evaluation set \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03c5\u03c0\u03ac\u03c1\u03c7\u03bf\u03bd\u03c4\u03b5\u03c2 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5\u03c2 \u03c0\u03c1\u03b9\u03bd \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c3\u03b5\u03b9 \u03bd\u03ad\u03bf latent probe.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20378\" target=\"_blank\" rel=\"noopener\">arXiv \u2014 Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification<\/a><\/li>\n<li><a href=\"https:\/\/huggingface.co\/datasets\/PKU-Alignment\/PKU-SafeRLHF\" target=\"_blank\" rel=\"noopener\">PKU-Alignment \u2014 PKU-SafeRLHF dataset<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<li><a href=\"https:\/\/genai.owasp.org\/llmrisk\/llm062025-excessive-agency\/\" target=\"_blank\" rel=\"noopener\">OWASP \u2014 LLM06:2025 Excessive Agency<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf Intent Horizon \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03b1 AI guardrails \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03c1\u03ce\u03b9\u03bc\u03b1 latent signals, model-specific calibration \u03ba\u03b1\u03b9 \u03ac\u03bc\u03c5\u03bd\u03b1 \u03c3\u03b5 \u03b2\u03ac\u03b8\u03bf\u03c2.<\/p>","protected":false},"author":1,"featured_media":96189,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[18922,20138,20136,20139,20137],"class_list":["post-95126","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-asfaleia","tag-latent-intent-verification","tag-llm-guardrails","tag-mechanistic-interpretability","tag-semantic-camouflage"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/95126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=95126"}],"version-history":[{"count":0,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/95126\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/96189"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=95126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=95126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=95126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}