A CIO’s Guide to Detecting and Managing Shadow AI

Protect Your Business from Shadow AI Risks

‍Is your organization unknowingly at risk from Shadow AI? With the rise of unsanctioned AI tools being used by employees—often without IT oversight—businesses are facing unprecedented challenges around data security, compliance, and reputational damage.

But it doesn’t have to be this way. Introducing “A CIO’s Guide to Detecting and Managing Shadow AI,” your comprehensive resource for understanding and mitigating the risks posed by Shadow AI.

‍Inside the guide, you’ll discover:

• How to Detect Shadow AI: Learn tangible strategies for identifying unsanctioned AI tools in your organization, from monitoring network traffic to auditing app integrations.
• The Hidden Risks of Shadow AI: Explore real-world examples of how Shadow AI can expose sensitive data, violate compliance standards, and jeopardize your company’s reputation.
• Actionable Steps to Manage Shadow AI: Find out how to assess the risk of different AI tools, create governance frameworks, and implement policies that support safe and effective AI use.
• Questions to Ask Vendors: Get a checklist of essential questions to ensure third-party AI platforms align with your security and compliance standards.
• Risk Documentation Framework: Learn how to document AI risk decisions to protect your organization from future liability.

Shadow AI doesn’t have to be a liability. With the right guardrails, visibility, and governance, you can transform it into a competitive advantage. Take the first step toward securing your organization while empowering your teams to innovate with confidence.