25 May Check Point reveals Agentic Network Security Orchestration Platform to replace rule-based complexity

• Check Point Software launched its Agentic Network Security Orchestration Platform
• The platform is a proprietary Network Knowledge Graph
• With Agentic Network Security Orchestration, teams define what needs to be protected

Check Point® Software Technologies Ltd. has launched its Agentic Network Security Orchestration Platform. “For the first time, security teams can operate entirely at the level of business intent,” said Jonathan Zanger, Chief Technology Officer at Check Point Software Technologies. “With Agentic Network Security Orchestration, teams define what needs to be protected and what the policy should achieve. Everything below that, the rule creation, the policy tightening, the virtual patching, is handed to AI agents to execute autonomously, within predefined guardrails and under continuous human oversight. We are turning projects that used to take months into days of auditable action.” “Enterprise network security has reached an inflection point. Layering agentic AI on top of modern hybrid environments creates complexity that outpaces the capabilities of what human teams can manage manually. The consequence is that critical security initiatives like Zero Trust and micro-segmentation languish in administrative density and stall before they deliver value. Agentic approaches like Check Point’s ground autonomous execution in a live understanding of the actual network environment, representing a meaningful architectural shift in how organisations’ can structurally close that gap.” Frank Dickson, Group Vice President, Security and Trust, IDC. The platform 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. Rather than reasoning over static training data, agents reason over the customer’s actual network as it exists right now, grounding every decision in the customer’s specific reality. The platform’s semantic intelligence also interprets not just the syntax of existing firewall policies but the business intent behind them, including rules created years or decades ago