Security & Governance

AI Security & Governance

The control plane that gets AI past legal and security review. Policy, model inventory, risk tiering, evals, and audit trails: mapped to the NIST AI RMF and EU AI Act, built into how you ship.

What is AI security and governance?

The Answer

AI security and governance is the control plane that lets an enterprise deploy AI without failing legal, security, or regulatory review. It combines an AI usage policy, a model and use-case inventory, risk classification, access controls, evaluation and red-teaming, and audit logging into one framework — often mapped to the NIST AI Risk Management Framework and the EU AI Act — so you can prove which AI is running, what it can touch, and that it behaves as claimed.

What you get

Three outcomes we commit to before we start.

01

One inventory of every model and use case

You can't govern what you can't see. We stand up a living inventory of the models, agents, and AI use cases running across the business, each with an owner, a risk tier, and the data it touches.

02

Governance that ships with the work

Risk classification, evaluation gates, and approval workflows are wired into the delivery pipeline, not bolted on as a review board that slows everyone down. Safe becomes the fast path.

03

Mapped to the frameworks you answer to

Controls trace to the NIST AI Risk Management Framework and EU AI Act (plus your SOC 2 / ISO posture), so when a regulator, customer, or board asks how you govern AI, the answer is documented and current.

The Guaranteed Production Pilot

Fixed scope · Written target

A production AI Governance system in your VPC: audited, documented, owned by your team.

Not a slide deck and not a sandbox demo: a working AI Governance deployment inside your own cloud boundary, mapped to your compliance controls and handed over with the schema, the eval harness, and the runbook.

Speed

Architecture and success criteria signed off in week one. First working slice running in your environment inside 30 days.

Zero effort

Fully done for you. Our senior squad owns ontology, build, evals, and compliance mapping: your team reviews and signs off, nothing more.

Risk reversal

Fixed scope, fixed price, and a measurable success target agreed in writing before we start. Miss the target and you don't pay for the pilot.

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Service FAQ

People also ask about ai governance.

An AI usage policy, a model/use-case inventory with owners and risk tiers, access and data controls, an evaluation and red-teaming process, incident response for AI failures, and audit logging. We assemble these into one operating framework rather than a binder nobody reads.