Overview
AI is transforming the enterprise, but it's also creating an entirely new attack surface. Autonomous agents are invoking tools and chaining actions. Employees are sharing sensitive data with unsanctioned AI tools. And static security testing wasn't built for systems that reason, decide, and act on their own.
Check Point's AI Defense Plane is a unified security platform purpose-built for the AI era. It brings together runtime protection, continuous adversarial testing, and workforce governance into a single solution, giving security teams full visibility and control over every AI interaction in their environment.
Powered by Check Point's AI-native security engine, informed by millions of real-world AI interactions and continuous adversarial intelligence, the AI Defense Plane protects where legacy tools can't: inside live, autonomous workflows, across employee AI usage, and throughout the AI development lifecycle.
Highlights
- AI Agent Security: Discover, secure, and control AI agents and applications at runtime. Automatically inventory every AI agent, the tools they access, and the actions they perform. Enforce policy in real time to block prompt injection attacks, unauthorized tool calls, unsafe file access, and runaway agent behavior. Prevent sensitive data from being exfiltrated through model inputs, outputs, or agent actions, all with sub-50ms response times across 100+ languages.
- AI Red Platform: Continuously test and harden AI systems against real-world attacks. Automate adversarial testing of prompts, reasoning paths, workflows, and agent behavior on an ongoing basis. Built on the same adversarial intelligence engine behind Gandalf, used by millions of players and thousands of organizations, the AI Red Platform simulates prompt injection, jailbreaks, reasoning manipulation, and workflow exploitation.
- Workforce AI Security: Govern and secure how employees use AI without slowing them down. Map how employees interact with sanctioned and unsanctioned AI tools across your environment. Apply data handling, acceptable use, and access policies at the moment of AI interaction, in the browser, in SaaS applications, and across AI-powered copilots.
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