AI & ML impact 16

Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms

Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms arXiv:2604.21131v1 Announce Type: cross Abstract: AI-agent guardrails are memoryless: each message is judged in isolation, so an adversary who sp…

Why it matters

Look past the headline—the real story is how crosssession intersects with ongoing threats trends in the industry.

Read full article at arXiv AI →

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