
AI security researcher. I study how agentic AI systems fail under adversarial conditions. OWASP AI Exchange author. DEF CON 33 & Black Hat MEA speaker. Writing Controlled Agency.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 6 | Founded | 2 months ago | Last Issue | 8 days ago |
| Active | |||||

Hot take: The recent wave of government and allied cybersecurity guidance on agentic AI security is one of the most important developments in AI safety in 2026. It is also, for most organizations, completely unimplementable as written.
Sub...
MCP is not merely another API integration framework.
It collapses the boundary between language, trust, and execution, and that is a fundamentally different security problem from anything the existing toolbox was designed to handle.
Than...
Monitoring tells you what happened. Enforcement changes what happens.
These are not the same problem. They require different architectures, different data structures, different intervention logic, and different failure modes. Most teams bu...
Issue 02 ended with a finding about trajectory. The dangerous moment in an AI agent attack is not the action you see at the end. It is the accumulation that made it possible.
But accumulation requires a substrate. The attack has to run thr...
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A question worth sitting with this week:
If your AI agent reports a task as complete, how would you know if it was lying?Not hallucinating, not failing. Lyin...
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The writers behind this newsletter.
AI security researcher. I study how agentic AI systems fail under adversarial conditions. OWASP AI Exchange author. DEF CON 33 & Black Hat MEA speaker. Writing Controlled Agency.
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