GRC in an AI World - Staying in the Fast Lane Without Losing the Race!

This advisory provides practical GRC-focused guidance for organizations adopting AI, emphasizing the need for AI risk and impact assessments, data inventory and classification, policies and user training, use of authorized enterprise AI systems, logging and monitoring, human oversight and model validation, and continuous monitoring to mitigate risks such as data leakage, insecure outputs, and third-party exposure. It also lists common pitfalls to avoid (e.g., deploying tools without governance, allowing shadow AI, sharing sensitive data with public models) and references NIST/ISO alignment and TrustedSec assistance.