Check Point Software launches an autonomous network security platform to replace manual firewall rules with AI agent architecture.
Cyber security solutions provider Check Point Software Technologies launched its Agentic Network Security Orchestration Platform to fundamentally transform how enterprise network security is managed. This purpose-built autonomous agent architecture executes network security operations across enterprise environments without requiring constant human intervention.
This launch shifts the industry away from static rules toward intent-based policy, moving from fixed threat profiles to dynamic exposure controls. It allows security teams to define high-level security goals while automated agents handle the manual technical execution underneath.
The system addresses the issue of critical security initiatives stalling in administrative delays, replacing long manual policy reviews with rapid, auditable actions. By resolving these delays, the platform helps organisations successfully complete zero-trust and security projects that previously left them exposed.
Operating through a live Network Knowledge Graph, the platform continuously updates its map of the network environment to interpret the business intent behind existing firewall policies. It translates natural language into firewall rules, removes unnecessary access, diagnoses failures automatically, and maps compliance changes in real time.
To support this roadmap, Check Point has entered into a definitive agreement to acquire the team and intellectual property of Deepchecks. This acquisition integrates a testing layer to monitor, validate, and fine-tune agent performance within live production environments.
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.”
Frank Dickson, Group Vice President, Security and Trust at IDC: “Layering agentic AI on top of modern hybrid environments creates complexity that outpaces the capabilities of what human teams can manage manually.”
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