Navigating the Evolving Landscape of AI Governance: What You Need to Know

AI adoption is accelerating—and with it, the urgency to govern it responsibly. Whether you're an enterprise IT leader, a security strategist, or part of an AI innovation team, understanding the governance landscape isn’t optional anymore—it’s mission-critical.

In our latest whitepaper, we break down the six most influential AI governance frameworks shaping global standards today:

• SANS Critical AI Security Guidelines – Designed for security-first implementation in AI environments.
• NIST AI Risk Management Framework – A flexible, trust-oriented structure for risk and lifecycle management.
• EU AI Act – The first enforceable legal framework for AI with global ripple effects.
• Google’s SAIF – A security-forward framework backed by industry coalition CoSAI.
• Cisco’s Responsible AI Framework – A corporate model emphasizing fairness, transparency, and privacy.
• ISO/IEC 42001 & 23894 – The global, certifiable standards aligning governance and risk.

We analyze how they compare, where they overlap, and where the industry is headed. If you’re shaping AI policy or strategy, this paper will ground you in the reality of AI governance today and where it's headed tomorrow.

👉 Read the full whitepaper here OR 📅 Request a demo to see how we can help you operationalize AI governance