AI Governance in Cybersecurity

A Practical Guide to Managing Shadow AI, Compliance Risk, and Secure AI Adoption
AI adoption is accelerating across the enterprise, often faster than security and governance teams can maintain visibility or control. This ebook provides a practical framework for identifying shadow AI, protecting sensitive data, managing AI-related risk, and establishing policies that support secure adoption without slowing innovation.
Learn how to classify AI systems by risk, apply Zero Trust principles to AI identities and agents, and align governance controls with frameworks such as the NIST AI RMF, ISO/IEC 42001, the EU AI Act, SOC 2, and HIPAA.
What You Will Learn
- How to discover and manage sanctioned and shadow AI
- How to build practical AI policies and risk tiers
- How to secure AI identities, agents, and data access
- How to prepare for emerging compliance requirements
- How mature governance can accelerate responsible AI adoption
Complete the form to download the ebook and start building a secure, compliant, and scalable AI governance program.


