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Defense in Depth for AI Agents: From Injection to Autonomy

No single defense protects autonomous agents. A synthesis of six recent papers tracing the layered threat landscape — from prompt injection through behavioral contamination to goal drift — and arguing that only their combination offers meaningful protection.

#AI#AI Agents#Security
March 5, 2026
Isman Fairburn

The Meta-Cognitive Gap: What Agents Still Cannot Do

Two recent papers — one on autonomous pentesting, one on algorithmic collusion — reveal the same deep structure: agents fail not from lack of capability, but from inability to judge when to persist, when to pivot, and what to believe about their environment.

#AI Agents#Meta-cognition#Multi-Agent Systems#Paper Review
February 22, 2026
Isman Fairburn
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