Check Point Software Technologies has assembled a high-powered Executive Advisory Board to steer its AI-driven cybersecurity platform as organizations accelerate artificial intelligence adoption across their operations. The move signals a critical inflection point: as AI becomes embedded in enterprise systems, securing those AI environments has become one of the most pressing cybersecurity challenges facing organizations today .

The advisory board brings together leading experts across cybersecurity, artificial intelligence, and enterprise technology to provide strategic guidance on product innovation, evolving threat dynamics, and global market expansion. Dave DeWalt, Founder and CEO of NightDragon, will co-chair the board alongside Check Point CEO Nadav Zafrir, helping engage experienced industry leaders to contribute market perspectives .

Why Is AI Security Becoming a Board-Level Priority?

The timing of this announcement is not coincidental. As organizations rapidly adopt AI to transform operations and compete in their markets, the threat landscape is shifting just as quickly. AI systems introduce new attack surfaces, data vulnerabilities, and infrastructure risks that traditional cybersecurity approaches were never designed to address. Check Point recognized that securing AI-driven environments requires a fundamentally different strategic approach, one that demands input from industry veterans who understand both the technology and the business implications .

"This is a defining moment in technology as organizations rapidly adopt artificial intelligence to transform how they operate, innovate and compete. AI is reshaping the cyber threat landscape just as quickly, which means security must evolve to protect new AI-driven environments," said Nadav Zafrir, CEO of Check Point Software Technologies.

Nadav Zafrir, CEO at Check Point Software Technologies

The announcement was made during Leaders Point, Check Point's executive gathering that convenes more than 50 Chief Information Security Officers (CISOs) from global organizations to discuss emerging cybersecurity challenges, digital resilience, and the impact of AI on enterprise security . This venue underscores the urgency: security leaders across industries are grappling with the same fundamental question: how do we protect AI systems we're still learning to build?

What Strategic Priorities Will the Board Address?

The Executive Advisory Board will focus on several interconnected areas that will shape Check Point's roadmap and, by extension, how enterprises approach AI security. These priorities reflect the real challenges organizations face as they integrate AI into mission-critical operations:

• Product Strategy: Guiding the development of AI-driven cybersecurity solutions that address emerging threats in AI-powered environments, from model vulnerabilities to data poisoning attacks.
• Innovation Direction: Ensuring Check Point's technology roadmap stays ahead of threat actors who are themselves using AI to craft more sophisticated attacks.
• Global Market Expansion: Helping the company understand regional regulatory requirements and security priorities as AI adoption accelerates across different industries and geographies.
• Threat Dynamics: Providing real-time intelligence on how the cyber threat landscape is evolving in response to widespread AI deployment across enterprises.

DeWalt's involvement adds significant credibility to the initiative. As a veteran of the cybersecurity industry and founder of NightDragon, a venture firm focused on cybersecurity and enterprise technology, he brings decades of experience navigating how security challenges evolve alongside technology adoption .

How Organizations Can Prepare for AI-Driven Security Challenges

While Check Point's advisory board shapes the future of AI security platforms, enterprises need to take action now to protect their AI investments. Here are practical steps security leaders should consider as they navigate this transition:

• Assess AI Infrastructure Vulnerabilities: Conduct a comprehensive audit of how AI systems are connected, deployed, and operated across your organization. Identify where AI models interact with sensitive data and which systems lack adequate security controls.
• Engage Cross-Functional Teams: Bring together security, AI engineering, and business leadership to align on AI security priorities. The threats to AI systems span technical, operational, and governance domains, so siloed decision-making will fail.
• Implement Unified Security Controls: Move beyond point solutions toward integrated security platforms that can govern how AI is connected and operated across your entire business, not just individual applications or teams.
• Monitor Threat Intelligence: Stay informed about emerging attack patterns targeting AI systems. Join industry forums and engage with security vendors who are actively tracking how threat actors are exploiting AI vulnerabilities.

Check Point has already begun translating board insights into concrete security architecture. The company released the AI Factory Security Architecture Blueprint, a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer . This blueprint provides enterprises with a practical framework for understanding where security controls need to be deployed across their AI stack.

Additionally, Check Point announced the AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business . These tools represent the kind of integrated approach that the advisory board will help refine and evolve as AI adoption accelerates.

What Does This Mean for the Broader AI Security Landscape?

The formation of Check Point's Executive Advisory Board signals that AI security is no longer a technical afterthought or a compliance checkbox. It is now a strategic business imperative that demands input from industry leaders, not just engineers. As more enterprises embed AI into their operations, the security decisions made today will determine whether those AI systems become competitive advantages or catastrophic liabilities .

For organizations still in the early stages of AI adoption, this moment offers a window to build security into AI systems from the ground up, rather than retrofitting defenses after breaches occur. The experts now shaping Check Point's strategy are essentially codifying lessons learned from the early waves of AI deployment, making that knowledge available to enterprises that are just beginning their AI journeys.

The stakes are high. As AI becomes embedded across enterprise operations, securing AI systems, data, and infrastructure is emerging as one of the most critical cybersecurity challenges facing organizations today. Check Point's advisory board approach recognizes that no single vendor or perspective can solve this problem alone. It will take collaboration between security experts, AI researchers, business leaders, and technology innovators to ensure that organizations can adopt AI securely and confidently .