Six layers of security architecture for running LLM agents as daily drivers — every design decision with production stats and companion code.
AI Security Research Blog
Deep dives into AI security, adversarial machine learning, LLM protection, and cutting-edge ML defense research
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A complete beginner's guide to setting up every safety layer from the Coding Safer with LLMs post: pre-commit hooks, local review agents, CI workflows, and CLAUDE.md — starting from scratch.
An empirical study of 10,080 prompt injection attempts across 8 models, 6 defense strategies, and 7 attack types. The results challenge common assumptions about prompt-level defenses.
Practical strategies for safer AI-assisted development: automated review agents, layered security checks, and context management that prevents catastrophic mistakes.
An introduction to the flaws in security testing for AI-generated code.