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AI Security

Prompt-injection vectors specific to MCP servers and how to layer defenses

MCP servers expose three distinct prompt-injection surfaces — resource contents, tool outputs, and sampling requests — and each one needs its own defense layer. Here is how to think about them together.

May 12, 20268 min read
AI Security

MCP tool poisoning: hidden instructions and rug-pulled tool definitions

Tool-poisoning attacks against Model Context Protocol servers hide adversarial instructions inside tool descriptions and silently mutate tool definitions after install. Here is how the attack works and how to defend against it.

May 12, 20268 min read
AI Security

Prompt Injection in RAG: Indirect Attacks

A senior engineer's breakdown of indirect prompt injection in RAG pipelines, how real attacks land through retrieved content, and what actually reduces exposure.

Apr 5, 20267 min read
AI Security

Prompt Injection Defense Architectures in 2026

Prompt injection remains the LLM01 entry on the OWASP LLM Top 10 for a reason. A pragmatic look at the defense architectures that hold up in production this year.

Feb 11, 20265 min read
AI Security

RAG Poisoning: Defenses That Work

Retrieval-augmented generation is the most common LLM deployment pattern in the enterprise and the most commonly poisoned. A senior security engineer's playbook for defences that hold up in production.

Oct 20, 20257 min read
AI Security

AI Agent Memory: Security Risks

Persistent memory makes AI agents more useful and more dangerous. A security engineer's walkthrough of how agent memory gets poisoned, exfiltrated, and weaponised, with concrete 2025 examples.

Sep 15, 20257 min read

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