What it covers
This is where most AI initiatives quietly die: in the security review, the compliance questionnaire, or the moment someone asks what the agent is allowed to do with the customer database. We design for that moment from the beginning.
- Identity and access models for agents, copilots, and service accounts, including least privilege and just-in-time access
- Guardrails: input and output filtering, tool-use boundaries, human-in-the-loop checkpoints
- Audit trails that show what an agent did, with what data, on whose authority
- Data handling policy: what can be sent to which model, retention, and residency
- Threat modeling for prompt injection, data exfiltration, and privilege escalation through tools
- Readiness for frameworks such as the NIST AI RMF and ISO/IEC 42001, and internal AI usage policy that developers will actually follow
Why us
Our background is in identity governance and access management for enterprises. We've spent years on the question of who is allowed to do what, and AI agents are the newest version of that question.
What you get
A governance model documented at the level your security and compliance teams need, the technical controls to enforce it, and evidence you can hand to an auditor.
Common questions
We already have a security team. Why do we need this?
You don't need us to replace them. You need someone who can translate between the AI project and the security review so both sides get what they need without a six-month standoff.
Can you help with vendor security questionnaires about our AI features?
Yes. We help you answer them accurately and, more importantly, build the features so the answers are good.