Check Point Software Technologies has announced its new ‘Agentic Network Security Orchestration Platform,’ built to automate large parts of enterprise network security management using autonomous AI agents.
The launch comes as enterprise networks become too complex for manual operations. Hybrid cloud environments, connected devices, mergers, and AI infrastructure are increasing the pressure on security teams, while routine policy changes can still take weeks to review and implement.
Check Point’s platform shifts network security from traditional rule-based management to an intent-based approach. Instead of manually handling thousands of firewall rules, security teams define business intent while AI agents manage execution, troubleshooting, policy tightening, and compliance operations.
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At the center of the platform is Check Point’s real-time Network Knowledge Graph, which continuously maps network topology, traffic flow, configurations, and asset relationships. The system also interprets the business purpose behind older firewall policies before making security decisions.
Core capabilities include converting natural language requests into firewall policies, autonomous issue diagnosis, continuous compliance mapping for standards like PCI-DSS and NIST, and automated zero-trust policy tightening.
Check Point also confirmed it is acquiring the team and intellectual property of Deepchecks to accelerate development of the platform.


