CYBERSECURITY | Check Point launches AI-powered network security orchestration platform
The platform comes as enterprises face growing complexity in managing hybrid cloud infrastructure, connected devices, and AI-driven systems.
Cybersecurity firm Check Point Software Technologies has launched an AI-powered network security orchestration platform designed to automate enterprise network security operations and reduce dependence on manual policy management.
The company announced on May 20 the release of its Agentic Network Security Orchestration Platform, which uses autonomous AI agents to manage firewall policies, troubleshoot network issues, enforce compliance, and tighten security configurations across enterprise environments.
The platform comes as enterprises face growing complexity in managing hybrid cloud infrastructure, connected devices, and AI-driven systems. According to Check Point, traditional rule-based network security management has become increasingly difficult to maintain as environments scale and change rapidly.
Jonathan Zanger, chief technology officer at Check Point, said the platform allows security teams to focus on business-level security objectives while AI agents handle operational tasks.
“For the first time, security teams can operate entirely at the level of business intent,” Zanger said. “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.”
The platform is built around a Network Knowledge Graph, which continuously maps network topology, traffic flows, asset dependencies, and configuration data in real time. Check Point said this enables AI agents to make decisions based on the current state of a customer’s network environment rather than relying only on static training data.
The system includes capabilities such as translating natural-language security requirements into firewall policies, identifying over-permissive access configurations, troubleshooting network failures, and continuously monitoring compliance with standards including PCI-DSS, DORA, and NIST.
Frank Dickson, group vice president for security and trust at research firm IDC, said growing infrastructure complexity is making manual network security management increasingly difficult.
“Critical security initiatives like Zero Trust and micro-segmentation languish in administrative density and stall before they deliver value,” Dickson said.
Check Point also announced it has signed a definitive agreement to acquire the team and intellectual property of Deepchecks, an AI evaluation and monitoring platform focused on large language model systems.
The company said the acquisition will help improve evaluation, testing, and monitoring capabilities for its AI-driven orchestration platform and accelerate development of future autonomous security functions.
Current platform features, including Policy Auditor, Policy Insights, and AI Assist, are now available. Expanded multi-vendor support and additional AI agent capabilities are scheduled for broader customer preview in the second half of 2026.
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