Is your organization managing the security and governance risks that come with adopting AI?
Most AI adoption is happening in the shadows. Marketing teams paste into ChatGPT. Engineering ships agents that touch production. Finance pilots a copilot inside the spreadsheet. Protecting your company requires understanding these risks.
- 01AI acceptable-use policy and governance framework review
- 02Inventory and classification of AI tools, models, and integrations in use
- 03Data-protection controls for AI inputs, outputs, and training data
- 04Prompt injection, jailbreak, and adversarial-input risk evaluation
- 05Agentic-AI controls: human-in-the-loop, execution boundaries, kill switches
- 06AI vendor and supply-chain risk assessment
- 07Monitoring, logging, and incident-response readiness for AI systems
- 08Alignment to NIST AI RMF, ISO/IEC 42001, and emerging AI regulations