How do you test an app for OWASP LLM07 system prompt leakage?
Test for system prompt leakage by assuming the prompt will be read, then hunt for secrets and rules in it and check controls outside the model. Defensive.
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.
Test for system prompt leakage by assuming the prompt will be read, then hunt for secrets and rules in it and check controls outside the model. Defensive.
Excessive agency means your LLM can do more than it should. Here is a defensive test plan built on OWASP LLM06: tools, permissions, approvals and logs.
Give each AI agent its own identity and short lived credentials instead of a shared API key. Here is how to scope, expire, log and revoke agent access.
Small models can screen prompts and outputs cheaply, but teams treat them as walls. Six common mistakes and how to test a classifier honestly.
A small model can screen prompts and outputs cheaply, if you test it on your own data. Use this checklist for labels, thresholds, failure modes and drift.
AI coding tools sometimes suggest packages that do not exist, and attackers can register them. Block it with allow lists, history checks and review.
A self-hosted open model has no plan limit, only your hardware. Which security tasks fit, which do not, and what to check first. Prices read 18 Oct 2026.
A self-hosted model has no plan quota, but it has limits: context, memory, queue depth and exposure. What to set, watch and do when you reach them.
Coding agents in CI act on untrusted text with real credentials. Avoid seven common mistakes: broad tokens, open-ended tools, unpinned actions and more.
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