AI Governance & Risk Management

Your staff is already using AI — ChatGPT, Copilot, Gemini, and countless SaaS tools with embedded AI features. Without governance, you face data leakage, IP loss, hallucinated advice, and regulatory exposure. The challenge is you cannot secure what you do not know about. Most SMBs have no inventory of AI systems in use, no acceptable use policy, and no framework for evaluating new AI tools. I provide NIST AI RMF-based governance to help you discover shadow AI, establish policies, and manage AI risk within your existing security program. Service packages include Shadow AI Discovery Sprint (2-week engagement to inventory all AI systems, analyze data flows, and produce risk-ranked findings), and AI Governance Starter Program (90-day comprehensive program covering GOVERN and MAP phases with shadow AI discovery and risk classification, POLICY and CONTROLS phases with acceptable use policies and staff training, and REPORTING and OPERATIONALIZATION phases with board-ready summaries and ongoing risk management). Built on the NIST AI Risk Management Framework, this program implements the Govern, Map, Measure, and Manage functions — integrated with your existing NIST CSF 2.0 security program. AI governance is not a separate initiative, it becomes part of your existing risk register, vendor risk management, and compliance framework. Perfect for organizations implementing AI tools enterprise-wide, companies facing customer AI security questionnaires, businesses preparing for SOC 2, ISO 27001, or HIPAA audits with AI in scope, and leadership needing board-ready AI risk reporting. You should start now if staff are using public AI tools, you are deploying AI-powered SaaS, you have data protection obligations, or you do not know what AI systems are in use. You need this urgently if customer questionnaires ask about AI governance, you are building GenAI applications, auditors flagged AI as unmanaged risk, or staff are pasting sensitive data into public AI tools.