Check Point Introduces Contextual AI Protection for Autonomous AI Agents
Check Point introduces a new class of contextual AI protection that understands an agent’s full context, intent and behavior across multiple steps, and prevents harmful actions before they execute.
AI agents are already operating inside the enterprise. Coding agents write and execute code, interact with repositories, access cloud infrastructure and invoke tools. Workforce agents process documents and messages, retrieve enterprise data and complete business workflows.
As these systems act with greater autonomy, security has to look beyond malicious prompts and individual payloads to the outcomes an agent’s actions can create. Harmful behavior does not always begin with something recognizably malicious. It can emerge naturally from a sequence of otherwise legitimate actions, where the risk becomes visible only in context.
Check Point’s approach brings the full context of the agent’s activity into the security decision.
The protection continuously evaluates the full course of an agent’s activity, including the original user intent,...
Copyright of this story solely belongs to itvoice.in. To see the full text click HERE
