Which OWASP LLM risk to tackle first: chatbot, RAG app or agent
A decision guide to the ten OWASP LLM risks by app type: where to start for a plain chatbot, a RAG assistant and a tool-using agent, with reasons.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
A decision guide to the ten OWASP LLM risks by app type: where to start for a plain chatbot, a RAG assistant and a tool-using agent, with reasons.
NIST's Generative AI Profile describes general public, expert, combination and human plus AI red teams. How to pick the right mix for your system.
An AI governance committee needs the right seats: security, legal, privacy, data, engineering and a business owner. Charter, cadence and decision rights.
Agents resend context on every step, run idle check-ins and spawn helpers. Here are the documented sources of token growth and how to cap each one.
The 2026 International AI Safety Report says AI helps attackers at many steps, but fully autonomous end-to-end attacks have not been reported.
Tags help a model separate instructions from data but do not stop prompt injection. What they give you, and what still needs checks outside the model.
ISO/IEC 27090 is guidance on security threats to AI systems. See what it covers, where it stands, and how to prepare. Check ISO for the current edition.
Prepare for ISO/IEC 27090 by inventorying AI systems, mapping threats, testing controls and keeping dated evidence. A practical checklist for engineers.
OWASP lists LLM app risks, MITRE ATLAS catalogs attacker behavior, ISO/IEC 27090 is a paid standard on AI threats. Use each for a different job.
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