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AI Security

RAG security: 10 questions to answer before you ship

Retrieval systems leak and mislead when documents are poisoned or permissions are ignored. Ten defensive questions, drawn from OWASP, to ask before launch.

Oct 18, 20264 min read
AI Security

RAG security: poisoned documents and who can retrieve what

RAG apps fail in two ways: bad documents get in, and the wrong people get good ones out. Learn the OWASP controls for ingestion, permissions and logging.

Oct 18, 20264 min read
AI Security

Can a README or docs page prompt-inject your coding agent?

Yes. Any text an agent reads can steer it. See how indirect prompt injection reaches agents through docs and the permission habits that limit the damage.

Oct 18, 20265 min read
AI Security

Can a README or docs page hijack an AI coding agent?

Yes. Any text an agent reads can act as an instruction. Defenses that hold: least privilege, human approval for risky actions, docs treated as untrusted.

Oct 18, 20264 min read
AI Security

Can a README hijack your coding agent? A defensive checklist

Coding agents read READMEs and docs as context, and any file can carry instructions. Use this checklist to limit what a poisoned page can make them do.

Oct 18, 20264 min read
AI Security

Port cranes: what automation and AI agents add to the threat model

Ship-to-shore cranes are remotely programmable machines. See what US authorities have said and a threat model for terminals adding AI planners and robots.

Oct 18, 20265 min read
AI Security

Why are pickle model files risky, and how do you check provenance?

Loading a pickle file can run code. Prefer safetensors, load weights only from sources you can verify, and record where every model came from.

Oct 18, 20264 min read
AI Security

What is OWASP LLM10 unbounded consumption? A worked example

LLM10 covers uncontrolled inference that causes outages, surprise bills and model theft. See a worked scenario and the OWASP controls that stop it.

Oct 18, 20264 min read
AI Security

OWASP LLM09 misinformation: real cases and how to reduce it

LLM09 misinformation means confident wrong answers from a model. See OWASP cases, from a chatbot lawsuit to invented packages, and how to reduce the risk.

Oct 18, 20264 min read

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