Master Shadow AI Governance with DNS Security

Artificial Intelligence is the fastest-adopted technology in enterprise history. Across every department, employees—and increasingly autonomous AI agents—are leveraging tools like ChatGPT, Claude, Microsoft Copilot, and specialized APIs to move faster.

However, when AI adoption outpaces IT approval, it creates Shadow AI—unauthorized usage that operates outside enterprise governance.

With Gartner predicting that over 40% of enterprises will experience security or compliance incidents linked to unauthorized Shadow AI by 2030, the strategic question is no longer “Should we allow AI?”—it is “How do we govern AI effectively?”

Inside the Ebook

In this comprehensive guide, you will learn how to turn your existing DNS infrastructure into a strategic control plane for the AI era:

• The Real Cost of Invisible Risk: Why Shadow AI-related breaches cost an average of $5.39 million and how to close the visibility gap before security incidents occur.
• Governing Agentic AI: How to maintain policy control over autonomous, machine-to-machine AI agents that bypass traditional browser and user controls.
• Simplified Regulatory Compliance: How DNS logging provides factual, continuous audit trails required for frameworks like the EU AI Act, US state regulations, and NIST AI RMF.
• 5 Practical Steps to Take Today: A step-by-step roadmap to establish DNS-enforced AI access policies without slowing down organizational innovation.

Download Your Copy

Gain immediate control over your enterprise AI footprint. Complete the form to access The Chief Risk Officer’s Guide to Shadow AI Governance.