From finding to exploit: the new automated exploit loop
KASS shows the defensive research version of executable exploit synthesis. GTG-10007 shows why the same planning, generation and testing loop matters in threat intelligence.
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Analysis across cases.
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KASS shows the defensive research version of executable exploit synthesis. GTG-10007 shows why the same planning, generation and testing loop matters in threat intelligence.
Several 2026 failures sit outside the model container itself: shared package infrastructure, task ownership, browser origins, local control planes and connected apps.
Credentials, cloud tokens, identity records, payment data and production access recur across the 2026 cases. The useful question is not whether AI was involved, but what actually crossed the boundary.
Anthropic's September threat report describes three campaigns where agents handled parallel reconnaissance, exploitation, malware adaptation and data collection. The underlying exploits are familiar; the operating model is changing.
OpenAI, Anthropic, AISI and Google/Irregular exposed different paths from an evaluation objective to real systems. Together they make one old assumption difficult to keep: the sandbox is only one part of the boundary.
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