Context compaction in coding agents can launder forged user instructions
Flattening harnesses accept forged approvals 87-100% of the time, while four role-typed harnesses reject the same attack.
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Flattening harnesses accept forged approvals 87-100% of the time, while four role-typed harnesses reject the same attack.
Sakana AI and UC Berkeley's MASS method lets Qwen3.6-27B self-improve at solving, judging, and workflow design.
SANS published two Python scripts that reconstruct OpenCode and Hermes AI agent activity for forensic review.
Malicious .git core.fsmonitor configs let attacker code run in AI coding agents like Claude Code and Codex; four of eight flaws remain unpatched.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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