Zero Trust AI

The problem with "we have a policy"

Most organizations have AI usage policies. None of those policies stop an agent from reading a field it was never authorized to see. We build the enforcement layer that makes the policy real: cryptographic mandates, OS-level sandboxing, and immutable audit trails that prove what happened and when.

What we do

• Exposure mapping. We walk your AI stack end to end and name every point where an agent touches data it should not.
• Mandate architecture. We design delegation scopes that match your actual risk tolerance and regulatory requirements (EU AI Act, NIST AI RMF, HIPAA, CMMC).
• Enforcement deployment. We wire pap://, Papillon, and Chrysalis into your environment. Constraints that were advisory become cryptographically enforced.
• Audit trail. Every agent action produces a signed, immutable receipt. You can prove what ran, what it accessed, and when — on demand.

How we work

We start with a direct review of your current AI landscape: what runs, what it touches, and where the boundary breaks down. Then we build and deploy enforcement that fits your stack — not a binder, not a checklist. Running constraints in production.

Start the review