GRC in an AI World - Staying in the Fast Lane Without Losing the Race!
TrustedSec outlines a GRC-focused checklist for enterprise AI adoption, emphasizing that the main security failure modes are data leakage, insecure model output, third-party exposure, and unmanaged “shadow AI” use across SaaS tools, browser extensions, open-source models, and even remote-work devices. The article recommends doing an AI-specific risk or impact assessment before deployment, mapping each use case to business need, inventorying and classifying the data that will be processed, and enforcing minimum-exposure controls for sensitive or unstructured data subject to regimes like HIPAA, PCI, and GDPR. It also stresses operational controls that security teams can apply directly: restrict use to approved closed AI systems, log AI activity to specific users or systems, alert on unauthorized use or data loss, and require human review before AI-generated content reaches production, legal, or customer-facing workflows. This is not a vulnerability write-up or novel attack paper, but it is a practical governance guide for reducing enterprise AI risk and preventing accidental disclosure or compliance failures during rollout.