Check Point & Microsoft boost Copilot Studio AI security tools
Check Point Software and Microsoft have entered into a collaboration to integrate Check Point's security technologies with Microsoft Copilot Studio, aiming to provide security and compliance measures for enterprises deploying generative AI agents.
Integration details
The collaboration extends Check Point's AI Guardrails, Data Loss Prevention (DLP), and Threat Prevention tools into Copilot Studio. This is intended to offer ongoing protection for AI agents during runtime, including safeguarding data, preventing prompt injection attacks, and managing compliance risks.
Enterprises using Copilot Studio to build and deploy AI agents can use these integrated tools to maintain oversight and protection over sensitive enterprise data and processes.
The Check Point offerings operate during the agent's runtime, aiming to secure each interaction and the autonomous actions performed within enterprise environments.
Addressing risks
The rapid implementation of generative AI agents by organisations has introduced new challenges, such as the risk of data leaks, prompt manipulation, misuse of models, and the risk of non-compliance with enterprise standards. As these agents frequently access sensitive data and external integrations, the attack surface for potential threats has widened beyond traditional security controls.
"The rapid adoption of AI agents brings not only innovation and efficiency, but also new security challenges, particularly around maintaining data integrity and preventing misuse of sensitive information," said Nataly Kremer, Chief Product Officer, Check Point.
"Together with Microsoft, we're providing advanced continuous protection and governance directly into Microsoft Copilot Studio, ensuring that every AI interaction, including autonomous actions within the enterprise, remains secure, compliant, and aligned with enterprise policies."
Key features
The solution introduces several capabilities to Copilot Studio users.
This includes runtime AI guardrails to defend against prompt injection, data leakage, and inappropriate agent use. The combined platform features DLP and threat prevention systems that monitor and protect data flows and workflow processes.
The unified security bundle has been designed to support large enterprise deployments, with the aim of delivering consistent protection and low latency. The integration is presented as a way for businesses to maintain productivity with Copilot Studio while keeping visibility, compliance, and a focus on prevention.
Microsoft perspective
"As organizations embrace Microsoft Copilot Studio to build AI agents tailored to their business, security and compliance are paramount," said David Blyth, VP Engineering, Copilot Studio, Microsoft.
"Our relationship with Check Point helps customers innovate confidently, combining Microsoft's trusted Copilot platform with Check Point's prevention-first AI security to keep sensitive data and AI workflows protected by design."
Operational reach
The integration aims to provide a continuous layer of protection and governance throughout the AI lifecycle in businesses, encompassing stages from development to execution across applications and workflows.
This approach is intended to support enterprises as they manage growing volumes of AI-driven tasks and seek to ensure alignment with internal policies and regulatory requirements.
