Check Point Software Technologies and Microsoft are partnering to bring integrated AI security controls into Microsoft Copilot Studio, ensuring enterprises can safely build, deploy, and operate AI agents at scale. With this collaboration, Check Point’s AI Guardrails, threat prevention, and data loss prevention capabilities become part of Copilot Studio’s workflow, giving organizations the ability to enforce governance and protection from development through runtime execution.
The integration is designed for companies adopting AI agents that interact with sensitive systems, tools, or data. As these agents gain the ability to trigger actions, connect third-party services, and automate workflows, risks such as prompt manipulation, unauthorized access, and data exposure increase. The joint solution provides real-time protection and visibility, reducing those risks without limiting Copilot Studio’s functionality.
Core features include continuous runtime guardrails to detect and block unsafe instructions or model misuse, built-in DLP and threat prevention to stop sensitive information leaks or malicious tool activity, and a unified enterprise security bundle optimized for large deployments. The solution is meant to operate quietly in the background, adding security without impacting performance or usability.
Microsoft sees this as a way to expand adoption of Copilot Studio by meeting enterprise security and compliance requirements, while Check Point positions it as part of its mission to secure the full AI lifecycle across development, deployment, and operational use.
The result: companies can move forward with Copilot-powered automation and AI agents while maintaining governance, compliance, and security controls expected in regulated or large-scale environments.
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