AI Risk Governance Program
Stand up the governance stack your workforce already needs.
Mid-market enterprises are losing visibility over AI tool usage faster than they can govern it. Shadow ChatGPT accounts, secrets pasted into copilots, and agentic tools touching production data. We deploy and configure the AI governance stack that gives you visibility, policy enforcement, and a defensible reporting line back to leadership. Vendor-neutral selection, hardened deployment, policy framework aligned to NIST AI RMF, and the runbook your team operates after we leave.
The Risk Surface Every CISO Is Being Asked About in 2026.
Vendor-Neutral Selection Across the AI DLP Market.
We have hands-on experience deploying every major AI governance platform. The right fit depends on your existing stack, licensing, regulatory exposure, and deployment constraints. We do not resell. We do not have quota. We recommend what fits.
These are capable products. The gap is not the tool. The gap is the program around it: the discovery, the selection, the hardening, the policy framework, and the runbook your team operates after we leave.
What We Build in a Standard Engagement.
Shadow AI Discovery
Comprehensive discovery of AI tool usage across your environment. Pulls from EDR (Defender, CrowdStrike, SentinelOne), firewall logs, proxy logs, and identity logs. Output: ranked list of AI tools in use, top users by volume, deployment patterns, and a Day 1 report you can hand to leadership the same week we start.
Vendor Selection and Architecture
Vendor-neutral evaluation matrix tailored to your environment. We score Microsoft Purview, Nightfall, LayerX, Strac, Endpoint Protector, and any others relevant against your specific licensing, deployment model, regulatory exposure, and integration requirements. Output: scored recommendation with deployment architecture diagram.
Hardened Deployment
Production-grade deployment of the selected platform. Intune push for endpoint agents. Browser extension deployment via Edge for Business or Chrome Enterprise. Policy configuration tuned to your data classes, not vendor defaults. SIEM integration with Sumo Logic, Splunk, or Sentinel. Test users validated before broad rollout.
Policy Framework
AI Acceptable Use Policy aligned to NIST AI RMF 1.0. Tiered controls by role and data sensitivity. Sanctioned tool list with rationale. Incident response runbook for AI data exposure events. Training material your team can deliver. Every clause traceable to a published standard.
Operational Handoff
Tuning and handoff to your team. Detection rule tuning for false positives. Reporting dashboards for the CISO and the board. Quarterly governance review template. Knowledge transfer with your security operations team. We do not become a permanent dependency.
Three Tiers. Fixed-Scope Consulting. Not a Subscription.
Proof Point
Shadow AI Audit at a 25,000-Employee Enterprise
A read-only audit across a multi-state enterprise revealed 3,000 ChatGPT users (12% of workforce), 12,000 consumer Copilot users (48% of workforce), and 250 Claude users — all with zero existing AI policy or controls. Capability gap analysis surfaced missing Purview Endpoint DLP and MCAS session controls despite full Microsoft E5 licensing. Findings delivered to the CISO with policy framework, DLP deployment roadmap, and three-vendor evaluation matrix in 5 business days. Engagement now in flight toward Standard tier deployment.
Ready to Govern AI Risk.
Tell us about your environment and what your leadership is asking for. We will come back with a scope, a timeline, and a fixed fee.
Schedule a Consultation Or start with a Shadow AI Discovery Scan ($2,500)