AI red-team & functional safety · AI Agent Threat Snapshot

Get a credible exposure read before expanding the security commitment.

Integro applies a bounded adversarial pass to one agent or AI feature, returns the top exposures mapped to MITRE ATLAS, OWASP LLM Top 10, and NIST AI RMF, and recommends whether a broader program is warranted.

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Ask this first

Which single AI feature carries enough authority or sensitive context to deserve the first adversarial look?

What this engagement is for

A bounded engagement with an explicit outcome and stopping point.

A one-week exposure read on a single AI system before committing to a broader assessment.

Integro combines senior technical judgment with governed agentic delivery, then hands back the work with its evidence and limitations intact.

  • Good fitThe target can be bounded and the people, systems, or source material needed for review are available.
  • Not the right fitThe outcome is undefined or the work lacks the access and sponsorship needed to deliver responsibly.
  • Engagement outcomeA concrete result, a verified handoff, and a clear recommendation for the next decision.
What you get

The payoff is visible before the next ask.

How it works

A finite path with a clear stopping point.

Proof posture
Compare nearby lanes

AI Agent Threat Snapshot starts with fit and scope.

Share the system, workflow, or decision in front of you. We will confirm whether this lane fits, identify the information needed to scope it, and recommend a smaller or different start when appropriate.