AI Policy & Governance
Most organizations have employees using AI tools the business has never reviewed. We start by making AI use visible, then put the guardrails in place so it stays safe as adoption grows. Governance is where we apply our security discipline directly to AI: clear rules, the right controls, and a defensible position if a regulator, auditor, or client ever asks how you manage it.
- Acceptable use and AI policy development tailored to your industry and risk tolerance
- Data governance, classification, and Data Loss Prevention (DLP) alignment so sensitive information does not leak into AI tools
- Risk and compliance mapping against the NIST AI Risk Management Framework, ISO 42001, SOC 2, and sector rules such as HIPAA
- Shadow-AI discovery to find unsanctioned tools already in use, paired with access controls to manage them
- Model and vendor risk review covering data handling, retention, and training practices before a tool is approved
- Governance committee setup and ongoing policy review as the technology and regulations change