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  • Check Point Launches AI Defense Plane to Secure Agentic Enterprise
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Check Point Launches AI Defense Plane to Secure Agentic Enterprise


Check Point Launches AI Defense Plane to Secure Agentic Enterprise
  • by: Source Logo
  • |
  • March 24, 2026

Check Point Software Technologies has announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business. As AI systems move from assistants to autonomous actors that access data, invoke tools, and take action, the AI Defense Plane provides the intelligence layer needed to secure the agentic era.

Quick Intel

  • Check Point launched the AI Defense Plane, a unified AI security control plane for enterprise AI governance.

  • The platform secures three domains: Workforce AI Security, AI Application & Agent Security, and AI Red Teaming.

  • Built on Check Point’s AI Security platform with technologies from ThreatCloud AI and the acquisitions of Lakera and Cyata.

  • The AI-native security engine delivers adaptive protection in under 50 milliseconds across more than 100 languages.

  • Workforce AI Security and AI Application & Agent Security are available immediately; AI Red Teaming is in limited release.

  • Check Point will showcase the platform at RSA Conference 2026 at Booth N-5879.

Securing the Agentic Era

“The enterprise is entering the agentic era. AI is no longer limited to generating content. It is beginning to access systems, use tools, chain actions, and operate with increasing autonomy. That changes the security model,” said David Haber, VP, AI Security at Check Point Software Technologies. “The challenge is no longer just what AI says, but what AI can do. Organizations need more than model safety. They need runtime control over how AI behaves inside real environments. The AI Defense Plane provides that control across employees, applications, and AI agents.”

As enterprises move AI systems into production, the attack surface expands beyond prompts and models to include agentic workflows, delegated actions, non-human access, and shadow agents operating inside real business environments.

Built on Check Point’s AI Security platform and strengthened by technologies from ThreatCloud AI and the company’s recent Lakera and Cyata acquisitions, the AI Defense Plane combines discovery, governance, observability, runtime control, and continuous validation across the AI execution lifecycle.

AI-Native Security Engine

At the core of the AI Defense Plane is Check Point’s AI-native security engine — a real-time decision engine informed by analysis of millions of AI interactions, adversarial testing, and live threat intelligence, creating a security loop that strengthens as AI systems evolve. The platform delivers adaptive protection in under 50 milliseconds across more than 100 languages, helping prevention operate at machine speed as attacks become increasingly automated.

While most approaches focus on model guardrails, Check Point secures how AI actually behaves in production. The AI Defense Plane is designed to enforce control where enterprise AI risk becomes real: at runtime, inside live environments, and across the workflows that connect AI to business operations.

Three Primary Modules

The AI Defense Plane includes three primary modules:

  • Workforce AI Security: Provides visibility, governance, and runtime safeguards for how employees use AI-powered applications. The module enforces policy in real time, reduces the risk of sensitive data exposure, and enables safe productivity across sanctioned and unsanctioned AI tools.

  • AI Application & Agent Security: Provides discovery, posture, and runtime control for AI applications and agentic systems embedded across the business. Organizations can identify where AI is present, understand what data and tools it can access, evaluate how it behaves, and govern the permissions and trust relationships that shape agentic execution.

  • AI Red Teaming: Enables continuous adversarial testing of prompts, reasoning paths, workflows, tool use, and agent behavior. It helps organizations uncover exploitable weaknesses early and strengthen resilience as AI systems move from prototype to production.

Industry Perspective

“Red teaming has become essential for agentic systems,” said George Davis, Product Leader at Sierra. “When AI can query infrastructure, trigger workflows, and interact with sensitive data, the risk is no longer theoretical. Organizations need continuous testing to understand how these systems can be manipulated, where controls break down, and how resilient they are in production.”

Availability and RSA Conference Details

  • AI Defense Plane: Included in Check Point’s AI Security portfolio

  • Workforce AI Security: Available immediately

  • AI Application & Agent Security: Available immediately

  • AI Red Teaming: Limited release

At RSA Conference 2026, Check Point will showcase the AI Defense Plane at Booth N-5879, with live demonstrations and expert briefings. The company will also debut Gandalf: The Agent Gauntlet, an experiential showcase exploring how agentic systems can be attacked, manipulated, and validated through modern red teaming methodologies.

About Check Point Software Technologies Ltd.

Check Point Software Technologies Ltd. is a global cyber security leader protecting more than 100,000 organizations worldwide. Its mission is to secure enterprises’ AI transformation. With a prevention-first approach and an open ecosystem architecture, Check Point helps organizations block advanced threats, prioritize exposures, and automate security operations across complex digital environments. The unified architecture simplifies protection across hybrid networks, multi-cloud environments, digital workspaces, and AI systems. Structured around four strategic pillars, Hybrid Mesh Network Security, Workspace Security, Exposure Management, and AI Security, Check Point delivers consistent protection and visibility across multivendor environments, enabling organizations to reduce risk, improve efficiency, and accelerate innovation without increasing complexity.

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