
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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The most dangerous memory attacks against AI agents may now require nothing more than a conversation.
Issue 08 of this newsletter introduced persistent memory as a new attack surface, one that survives session termination, p...
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What Persistent Memory Means Architecturally
Agentic AI systems implement persistent memory through several mechanisms, each with a distinct attack surface and persistence model.
The most common approach is retrieval-augmen...
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The compliance frameworks have caught up to the deployment reality.
The deployment reality has not caught up to the compliance frameworks.
Several major standards and regulatory frameworks addressing agentic AI in 2026 hav...
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.
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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...
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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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