Check Point Software Technologies has launched an Agentic Network Security Orchestration Platform, a purpose-built autonomous agent architecture that executes network security operations across enterprise environments without constant human intervention.
The launch targets a structural problem in enterprise network security: hybrid cloud adoption, M&A-driven fragmentation, and AI proliferation across infrastructure have created environments too complex for human teams to manage at pace. A single policy change request can currently take two to four weeks to process, segmentation projects often stall indefinitely, and Zero Trust initiatives fail to complete – leaving organisations exposed.
From rules to intent
Check Point’s platform replaces static rules-based management with three shifts: from thousands of static rules to intent-based policy; from fixed threat prevention profiles to dynamic exposure-based controls; and from fragmented vendor consoles to a single orchestration layer across the enterprise network.
At the centre is a proprietary Network Knowledge Graph – a live, relational model of the customer’s actual environment, continuously updated with topology, traffic flows, asset dependencies, and real-time configuration data. Agents reason over this live model rather than static training data, grounding every decision in the customer’s specific reality.
Four core capabilities
The platform operates across four agent-driven functions: Intent-to-Policy, which translates natural language business requirements into hardened firewall rules; Zero Trust and Policy Tightening, which autonomously identifies and closes over-permissive configurations; Autonomous Troubleshooting, which reduces mean time to resolution from hours to minutes; and Continuous Compliance, which maps every change to DORA, PCI-DSS, and NIST frameworks in real time.
Security teams retain authority at the intent level, approving high-impact changes before execution, with a full audit trace of every agent action.
Deepchecks acquisition
Check Point has signed a definitive agreement to acquire the team and intellectual property of Deepchecks, a production-grade LLM evaluation and monitoring platform. The Deepchecks team will accelerate the agentic security roadmap by adding robust evaluation and observability capabilities.
For the first time, security teams can operate entirely at the level of business intent. We are turning projects that used to take months into days of auditable action, said Jonathan Zanger, Chief Technology Officer at Check Point Software Technologies.



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