Capabilities / Artificial Intelligence / AI Governance, Risk & Security
AI Governance, Risk & Security
Controls that let AI move through risk review as a release path, not a veto.
01 — The problem
Governance that arrives at the end becomes a veto. Built into intake, evaluation, and release, it becomes the reason a system is allowed to ship.
Late reviewRisk and legal see a system for the first time when it is already built.
No shared standardEach project negotiates its own definition of acceptable from scratch.
New attack surfacePrompt injection, data leakage, and over-privileged agents are not covered by existing controls.
02 — What we deliver
What we deliver.
01Governance operating modelRoles, forums, and decision rights from intake to retirement.
02Risk tieringA proportionate scheme that decides how much control each use case needs.
03Evaluation & release gatesEvidence a system must produce before it reaches users.
04AI security testingRed-teaming and controls for prompt injection, leakage, and agent permissions.
05Model inventory & audit trailA current record of what is running, on what data, approved by whom.
06Regulatory alignmentMapping to the frameworks and regulators that apply to your sector.
03 — Engagement model
01AssessAI readiness assessment and a prioritized value case
02ArchitectReference architecture, data plan, and governance design
03BuildProduction-grade agents, applications, and platforms
04StaffVetted AI and engineering talent or managed delivery pods
05ScaleOperating model, AI Center of Excellence, and run support
05 — Related insights
Agentic AI · 14 Sep 2026Why AI agents stall after the pilot — and what production actually requiresData & Platforms · 18 Jun 2026Data readiness for agentic AI: six questions to answer firstGovernance · 21 Aug 2026Designing an AI governance operating model that does not slow delivery06 — FAQ
We are model- and cloud-agnostic. Most programs run on Azure, AWS, or Google Cloud with OpenAI, Anthropic Claude, or Microsoft Copilot models, selected per use case on cost, latency, and risk.
AI Governance, Risk & Security
Make risk review the fast lane.
Tell us where your AI programs are waiting for approval.