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    Home » Sections » Information security » Check Point swaps static rules for agentic AI

    Check Point swaps static rules for agentic AI

    Promoted | Enterprise networks have outgrown human management, so Check Point is shifting from rules to intent.
    By Check Point Software Technologies21 May 2026
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    Check Point swaps static rules for agentic AI - Jonathan Zanger
    Check Point chief technology officer Jonathan Zanger

    Check Point Software Technologies, a pioneer and global leader in cybersecurity solutions, today launched its Agentic Network Security Orchestration Platform, a purpose-built autonomous agent architecture that executes network security operations across enterprise environments, without requiring constant human intervention.

    The launch continues the company’s mission to transform the way enterprise network security is managed, an approach that has remained largely unchanged since the early days of the firewall era.

    For more information and to request access, visit this website

    Enterprise networks have grown beyond human capacity to manage. Hybrid cloud adoption, M&A-driven fragmentation, the explosion of connected devices and the rapid proliferation of AI agents across infrastructure have created environments that no human team was designed to secure at this scale.

    For the first time, security teams can operate entirely at the level of business intent

    A single change request can take two to four weeks to work through analysis, security review and policy dependencies, only to break something else and restart the cycle. Segmentation projects sit on the board for years and never ship. Policies drift because workloads move faster than any team can follow.

    The result is predictable: zero-trust projects stall, policy tightening never completes and organisations are left exposed.

    Check Point’s platform addresses this by beginning a transformation across three dimensions that have defined and constrained network security management for decades: moving 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 entire network. Security teams set the business intent. The agents handle everything below it.

    Autonomous execution

    “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, International Data Corp

    At the centre of 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. This is what separates Check Point’s agents from generic AI applied to security problems. 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.

    Agentic Network Security Orchestration Platform
    The software in action

    The platform’s semantic intelligence layer goes further, interpreting not just the syntax of existing firewall policies but the business intent behind them, including rules created years or decades ago. Once that intent is understood, agents act on it autonomously across four core capabilities:

    • Intent-to-policy translates natural language business requirements into hardened, risk-validated firewall rules across multi-vendor environments.
    • Zero trust and policy tightening continuously analyses active traffic to identify shadow access and over-permissive configurations, autonomously applying validated tightening recommendations without risking connectivity breaks.
    • Autonomous troubleshooting conducts multi-step reasoning across topology, policy history and logs to diagnose failures autonomously, reducing mean time to resolution from hours to minutes.
    • Continuous compliance maps every rule and configuration change to Dora, PCI-DSS, and Nist in real time, replacing annual audit fire drills with continuous automated enforcement.

    Security teams retain authority at the intent level, approving high-impact changes before execution, with full visibility into every agent’s action through a complete execution trace. Underlying the platform are agent skills fine-tuned on more than 30 years of operational expertise protecting over 100 000 organisations, spanning the edge cases and configuration complexity that generic models have never encountered.

    Accelerating the road map

    As part of the commitment to deliver on the Agentic Network Security Orchestration road map, Check Point has agreed to acquire the team and intellectual property of Deepchecks, a production-grade platform that unifies evaluation, observability, testing and monitoring, giving teams the visibility and control needed to trust agents in production.

    The team is comprised of LLM experts, graduates of the prestigious Talpiot technological excellence programme. Deepchecks’ talent and intellectual property will significantly accelerate the execution of the Agentic Network Security Orchestration road map.

    “Any multi-agent system must include a robust evaluation layer that enables continuous measurement, tuning and improvement over time,” explained Ofir Korzenyak, vice president of AI Technologies. “Deepchecks’ team brings cutting-edge capabilities precisely in this area, strengthening our ability to deliver agents that continuously improve and can be fine-tuned to customers’ specific needs.”

    Availability

    Check Point’s Agentic Security Management capabilities are available immediately – Policy Auditor prevents policy drift, Policy Insights drives zero-trust tightening and AI Assist accelerates daily admin tasks. Playblocks Agents is available through our Early Availability programme, with a broader customer preview introducing more agents, skills and multi-vendor support launching in the second half of 2026. For more information and to request access, visit this website. Follow Check Point on LinkedIn, X, Facebook, YouTube and our blog.

    • Read more articles by Check Point Software Technologies on TechCentral
    • This promoted content was paid for by the party concerned
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    Check Point Check Point Software Technologies Jonathan Zanger
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