Agent output handling: treat the model like any other user
Model output can carry XSS, SQL and shell payloads into your backend. OWASP's zero-trust advice: validate, encode and parameterize before anything runs.
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.
Model output can carry XSS, SQL and shell payloads into your backend. OWASP's zero-trust advice: validate, encode and parameterize before anything runs.
When an AI agent acts for a user, should it impersonate them or act as a delegate? RFC 8693 defines both and the actor claim that records who did what.
A field list for agent tool call audit logs, drawn from MCP guidance on logging, delegation and elevation, so incidents can be reconstructed afterward.
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.
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