Making attacking agents pay with Context Bombs
agentic.tracebit.com
We tested Context Bombs against seven AI models, measuring how deceptive documents, false leads and recovery tasks change attacker time, cost and completed objectives.

Original Reddit post

We just published new research on using deception against AI attackers. In controlled AWS tests, agents took up to 8× longer and cost 23× more per objective. With all nine techniques combined, Kimi, Qwen, DeepSeek and GPT-5.6 Cyber reached zero objectives across 40 runs. submitted by /u/tracebit

Originally posted by u/tracebit on r/ArtificialInteligence