#United States #None #Cybersecurity #Check Point #Agentic Platform

Check Point Launches Agentic Network Security Orchestration Platform

Check Point Software Technologies, a global leader in cybersecurity solutions, announced on May 19th (US time) the launch of its Agentic Network Security Orchestration Platform. This groundbreaking platform is designed to operate autonomously across enterprise environments, significantly reducing the need for human intervention in network security management.

The launch represents a pivotal shift in how enterprises manage network security, which has seen little evolution since the era of firewalls. Check Point aims to move away from traditional security management methods, advancing from rule-based systems to intent-based policies, and from rigid controls to dynamic prevention strategies. The need for this innovation has been driven by the rapid expansion and complexity of corporate networks, particularly in the wake of hybrid cloud adoption, mergers and acquisitions, and an explosion in the number of connected devices.

Check Point identifies that the traditional methods of analyzing change requests can often cause delays of two to four weeks, creating a cycle of recurring issues. Network segmentation initiatives frequently remain in the planning stages for years, while operational teams struggle to keep pace with the rapidly changing workload, leading to inconsistencies in security policies. Consequently, zero trust initiatives stagnate, and organizations remain vulnerable to risks.

To counter these challenges, Check Point's platform aims to transform three critical areas long established in network security management. These include transitioning from thousands of static rules to intent-based policies, moving away from fixed threat prevention profiles to exposure-based dynamic controls, and integrating fragmented vendor management consoles into a unified orchestration layer.

Security teams can now define business intents, and operational execution at lower levels is autonomously handled by agents. Jonathan Zanger, Check Point's Chief Technology Officer, stated, “For the first time, security teams will be able to operate at the level of business intent. With the Agentic Network Security Orchestration Platform, teams define what needs to be protected and the objectives that policies should achieve. From there, all lower-layer processes such as rule creation, policy enhancement, and virtual patching can be overseen autonomously by AI agents within defined guardrails, allowing for rapid project execution that can be audited.”

Frank Dickson, IDC's Vice President of Security and Trust, commented on the significant transformation in enterprise network security, stating, “As the complexity of modern hybrid environments surpasses human management capabilities, key security strategies such as zero trust and micro-segmentation become stalled under cumbersome operational tasks. Check Point's agent-based approach represents a crucial architectural shift that enables autonomous execution informed by real-time network conditions, thereby bridging the gap between complex environments and human management.”

Core Features of the Agentic Network Security Orchestration Platform

At the heart of this new platform is Check Point's unique Network Knowledge Graph. This relational model continuously updates to reflect customers' real environments, comprising topology, traffic flows, asset dependencies, and real-time configuration data. This real-time tracking differentiates Check Point’s AI agents from traditional AI models, as it bases its reasoning not on static learning data but on actual network conditions, tailoring all decision-making to the customer's specific context.

The platform includes a semantic intelligence layer that interprets existing firewall policies not only by their syntax but also by the underlying business intent, including rules created years or even decades ago. Understanding this intent allows agents to operate autonomously through four core functionalities:
1. Intent-to-Policy Translation: Converts business requirements written in natural language into robust, risk-validated firewall rules applicable across a multi-vendor environment.
2. Zero Trust and Policy Tightening: Continuously analyzes active traffic to identify shadow access and excessive privilege settings, autonomously applying validated policy tightening recommendations without the risk of disruptive communication.
3. Autonomous Troubleshooting: Performs multi-modal reasoning across topology, policy history, and logs, diagnosing failures autonomously, thus reducing average resolution times from hours to minutes.
4. Continuous Compliance: Real-time maps all rule and configuration changes to standards such as DORA, PCI-DSS, and NIST, automating the compliance operations that usually complicate annual audit preparations.

Security teams retain control at the intent level, approving significant changes before execution while ensuring complete visibility into the operations of each agent through comprehensive execution tracing. The skill set of the agents underlying this platform has been optimized based on over 30 years of operational know-how, refined through the protection of more than 100,000 organizations.

Accelerated Roadmap with Acquisition of Deepchecks

In pursuit of advancing the Agentic Network Security Orchestration roadmap, Check Point has finalized the agreement to acquire the team and intellectual property of Deepchecks. This company offers a production-ready platform integrating evaluation, observability, testing, and monitoring, providing the visibility and control necessary to operate agents reliably in production environments. The Deepchecks team comprises experts from Israel's elite “Talpiot” technology training program, aiming to significantly accelerate the roadmap's realization with their skills and technologies.

Ofir Korzenyak, Check Point's Vice President of AI Technology, remarked, “Every multi-agent system requires a reliable evaluation layer that enables continuous measurement, adjustment, and improvement. The Deepchecks team possesses leading-edge expertise in this area, further enhancing Check Point's ability to provide agents that can be continuously optimized to meet our customers' unique needs.”

Availability

The current features of Check Point's Agentic Security Management, including the Policy Auditor to prevent policy drift, Policy Insights to promote zero trust policy strengthening, and AI Assist to streamline routine management tasks, are now available. Additionally, Playblocks Agents are accessible through Check Point's early access program. A broader preview version, featuring more agents, skills, and multi-vendor capabilities, is expected to be launched in the second half of 2026. For more details and access requests, please visit the official Check Point website.

This article is based on the press release published on May 19, 2026.