AI Governance and Shadow AI Assessment for enterprise adoption.
A focused assessment to identify unmanaged AI usage, data exposure, policy gaps, and the controls needed to govern AI without slowing useful adoption.
- Organizations where employees are already using ChatGPT, Copilot, Claude, Gemini, or AI-enabled SaaS.
- Security and compliance teams that need AI acceptable-use rules, evidence, and executive risk language.
- Leaders evaluating AIGuardium or browser-level controls for AI tool monitoring and enforcement.
- Shadow AI usage and risk patterns documented.
- AI policy and data-handling expectations translated into enforceable controls.
- NIST AI RMF, privacy, and vendor-risk obligations mapped into a practical roadmap.
- Leadership receives an executive-ready view of AI adoption risk and next steps.
Shadow AI discovery and risk inventory
AI acceptable-use policy recommendations
Sensitive data and tool-risk classification
NIST AI RMF control mapping
AIGuardium pilot plan when appropriate
Executive AI governance roadmap
A sequenced path from uncertainty to defensible action.
Discover
Identify sanctioned and unsanctioned AI tools, user groups, business use cases, and data exposure points.
Assess
Classify AI risk across data sensitivity, vendor exposure, compliance obligations, and workforce behavior.
Govern
Define acceptable-use rules, approval paths, monitoring needs, and evidence requirements.
Operationalize
Prioritize controls, rollout steps, executive reporting, and optional AIGuardium enforcement.
Evidence, not vague assurance.
Market urgency
Built for teams that need to act before Shadow AI becomes an audit, privacy, or customer-trust issue.
Control mapping
Connects AI usage to NIST AI RMF, privacy obligations, vendor risk, data handling, and policy enforcement.
Product support
Pairs naturally with AIGuardium when the organization needs browser-level AI monitoring or control.
Compare this with adjacent programs.
Some organizations need a readiness sprint. Others need vCISO oversight, AI governance, or implementation support. Compare the closest options before scoping.