Check Point Wants AI Agents to Do What Security Teams Can’t: Manage Networks at Machine Speed

Check Point has launched an Agentic Network Security Orchestration Platform that uses autonomous AI agents to translate business intent into firewall policy, tighten configurations in real time, and respond to threats across multi-vendor environments. At its core is a Network Knowledge Graph — a live relational model of a customer's actual network — combined with a semantic intelligence layer that interprets existing policy intent. Key capabilities include Intent-to-Policy rule generation, autonomous Zero Trust tightening, AI-driven troubleshooting, and continuous compliance mapping to DORA, PCI-DSS, and NIST. Check Point also announced the acquisition of Deepchecks, an LLM evaluation and observability platform, to build the trust layer needed for autonomous agents in production. Some features are generally available today; the broader Playblocks Agents platform is in early access with wider preview expected in H2 2026.