Prevent and manage cloud shadow AI with policies and tools

Unmanaged cloud-based AI tool use can result in data loss and reputational harm, among other risks. The time to stop and prevent cloud-based shadow AI use is now.

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• Dave Shackleford, Voodoo Security

As AI becomes increasingly embedded in day-to-day business workflows, cybersecurity teams grapple with a growing blind spot: cloud shadow AI.

The adoption of unmanaged cloud-based AI tools continues to outpace security teams' ability to manage and protect those deployments. In fact, 70% of cloud workloads that use AI software have a critical vulnerability, according to the "Tenable Cloud AI Risk Report 2025."

Organizations must address cloud-based shadow AI now to prevent data breaches, avoid compliance violations and mitigate cyberattacks.