Shadow AI is no longer a theoretical risk. Employees are adopting AI tools faster than security teams can track them, often without IT’s knowledge, and frequently on devices and surfaces that traditional security tools simply can’t see. If you asked your security team right now how many AI tools are active across your organization, on which surfaces, and what’s being shared, could they answer? For most organizations, the honest answer is no. And that gap, between what your employees are doing with AI and what your security team can actually see, is where enterprise risk lives today.
AI adoption in the enterprise didn’t slow down and wait for governance to catch up. Employees are simultaneously using Claude, ChatGPT, Microsoft Copilot, and a growing list of other tools, often across different teams, surfaces, and workflows. The result is a fragmented multi-platform AI ecosystem that traditional security tools simply weren’t built to handle.
Today, Check Point is expanding its AI governance coverage to include Claude’s Compliance API, giving security leaders a more comprehensive view of how employees are leveraging AI across every surface.
For too long, enterprise AI security has operated from a position of restriction. Block the tools, limit the access, and hope employees don’t find workarounds. That approach doesn’t scale, and frankly, it doesn’t work.
The integration of Check Point Workforce AI with the Claude’s Compliance API expands that coverage further. Instead of forcing security teams to choose between productivity and protection, it gives them the foundational governance infrastructure to move from a position of blocking AI to one of confident enablement, allowing them to say “yes” to AI transformation with total control.
Most security teams assume that if they have a network proxy or endpoint DLP in place, they have reasonable coverage of AI tool usage. For Claude on mobile, that assumption is wrong.
Claude conversations on mobile devices are typically invisible to traditional network proxies, CASB solutions, and endpoint DLP tools. There is no workaround. The only viable telemetry path to monitor those conversations at scale is through Claude’s Compliance API. That is the mobile blind spot, and until now, it was unaddressed.
Beyond mobile, the visibility challenge extends across every surface. With Claude’s Compliance API, Check Point can now provide organizations with a deeper audit into the Claude activity and usage trends across the enterprise. For organizations operating in regulated industries or simply trying to understand how AI is being adopted across their workforce, that level of insight makes all the difference.
The integration with the Claude’s Compliance API gives security teams six foundational capabilities:
This integration is a foundational step in a broader governance journey. As organizations expand beyond assistive AI into agentic workflows, where employees use autonomous agents to execute tasks, access tools, and accelerate their work, the security perimeter evolves with it. Check Point already extends governance to agentic AI usage, and that coverage will only become more critical as these capabilities become standard across the enterprise.
Point solutions create point visibility. When your AI governance infrastructure is a collection of separate tools, each covering a different platform or surface, your security team is left stitching together an incomplete picture while attackers and data leakage opportunities move faster than your reporting cycle.
Check Point’s approach is different. By coordinating enforcement across access, application, and runtime from a single plane, security teams get a correlated view of AI behavior alongside network, application, and identity signals. Policy is defined once and applied consistently. Claude activity doesn’t exist in isolation; it exists within the context of everything else happening across the enterprise.
That is what a unified AI Defense Plane looks like in practice.
This integration is available for Check Point Workforce AI customers who have also adopted Claude Enterprise. If your organization is already on that path, the foundational governance infrastructure is ready for you now.
This integration is an important step toward closing the AI visibility gap, but it’s only part of the broader shift happening across enterprise AI security. As organizations move from experimentation to scaled adoption, the challenges and risks continue to evolve.
We built this so you don’t have to find out the hard way.
To help you navigate that shift, we’ve also released the AI Security Governance Framework. Download it for a practical model for CISOs securing AI across platforms, workforce tools, AI applications, and autonomous agents.
Watch Check Point’s Ready or Not: AI Webinar Series to learn how leading teams gain visibility and stay in control.
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