Ultra13
Platform · Validation

What is continuous validation for AI agents?

Continuous validation re-runs the exploit replays after every model, prompt, tool, RAG, or policy change. It proves that paths you closed stay closed, and catches regressions before your users — or an enterprise reviewer — do.

By the Ultra13 teamPublished Updated
TL;DR
  • Every model/prompt/tool/policy change can silently reopen an exploit path.
  • Keep each teardown finding as a replayable regression test.
  • Re-run the suite on change and before release.
  • Validation evidence supports security review and audit.

Why point-in-time testing isn't enough

Agents change constantly. A prompt tweak or a new tool can reintroduce a path you already fixed. Continuous validation turns each fix into a standing test — the counterpart to red teaming vs runtime enforcement.

FAQ

Frequently asked questions

When does validation run?
On model, prompt, tool, RAG, or policy changes, and before releases — re-running the exploit replays that correspond to your enforced policies.

See where the firewall stops the path.

Give us one agent workflow. We’ll map the context boundary, replay the abuse paths, and show where the Context Firewall blocks them.

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