Check Point unveils four-pillar AI security strategy

Check Point has outlined a four-part strategy to secure enterprise use of artificial intelligence and confirmed three acquisitions to expand its offerings in AI security, exposure management, and managed service provider (MSP) tools.

The strategy is organised into four pillars: Hybrid Mesh Network Security, Workspace Security, Exposure Management, and AI Security. Check Point presented it as a single framework for organisations operating across cloud services, data centres, branch networks, and remote workforces.

Workplace AI has expanded from productivity tools to more autonomous systems. That shift is also changing how attackers target organisations, including attempts to exploit AI tools, identities, and permissions. The strategy emphasises prevention and operation across multi-vendor environments.

Four pillars

Hybrid Mesh Network Security covers distributed networks across hybrid cloud environments, on-premises data centres, branch locations, and internet-facing services. Check Point described it as a unified, AI-powered model.

Workspace Security focuses on the tools employees use daily, including endpoints, browsers, email, software-as-a-service applications, and collaboration platforms. As many of these tools add AI features, new paths emerge for data exposure and account compromise.

Exposure Management aims to improve visibility across an organisation's attack surface. It includes risk prioritisation based on business context rather than high volumes of alerts.

AI Security addresses AI adoption directly, spanning employee use of AI tools, enterprise AI applications, and autonomous AI agents. It reflects growing interest in controlling the identities, permissions, and behaviour of software agents that can access systems and data.

Check Point plans to deliver the pillars through an open platform approach it calls an "open garden", focused on integration with existing security tools and operations. It is designed for organisations running mixed security stacks.

Acquisition focus

Alongside the strategy, Check Point announced acquisitions of Cyata, Cyclops, and Rotate. It did not disclose transaction values, but said additional financial and strategic details are included in its fourth-quarter and full-year 2025 earnings materials.

Cyata adds technology for managing AI agent identities. Founded in 2024 by Shahar Tal, Baruch Weitzman, and Dror Roth, Cyata built a platform that discovers active AI agents, maps their permissions, monitors behaviour, and applies automated security policies.

These capabilities address a growing enterprise concern: AI agents can be created quickly, access multiple services, and accumulate broad rights across systems. In many organisations, agent deployment can outpace governance processes used for human users and traditional machine identities.

Cyclops expands exposure management. Founded in 2021 by Eran Zilberman, Elly Guetta, and Biran Franko, Cyclops developed a cyber asset attack surface management platform that consolidates data across environments and provides asset visibility and risk prioritisation.

Attack surface management has become a crowded market as organisations contend with sprawling inventories of cloud assets, third-party services, and remote endpoints. Vendors have increasingly pushed consolidated views of assets and vulnerabilities, with added context linking technical issues to business risk.

Rotate adds tools aimed at MSPs. Check Point described it as an all-in-one platform that provides centralised protection across distributed workforces and SaaS environments.

MSPs have become a key route for security suppliers seeking distribution across mid-market and smaller enterprise customers. They are also high-value targets for attackers due to their access to multiple customer environments. As MSPs build repeatable services, platforms that standardise policy and monitoring across tenants have become a focus.

Platform direction

The acquisitions point to where Check Point expects demand to grow as AI spreads across business systems. Identity controls for AI agents, broader attack surface visibility, and MSP management tools map to three operational challenges: governing new forms of access, prioritising risk across complex environments, and scaling security operations for distributed users.

Roi Karo, Chief Strategy Officer at Check Point, described the moves as a response to evolving cyber risk as organisations deploy AI.

"As AI reshapes how organisations operate and how threats evolve, security must be fundamentally rethought. Our four-pillar strategy provides a clear framework to secure networks, workspaces, exposure risks, and AI-driven environments as a unified platform. The acquisitions we are announcing today demonstrate how we are executing on this vision and helping customers securely navigate the AI transformation," said Roi Karo, Chief Strategy Officer, Check Point.

The acquisitions strengthen the platform across AI security, exposure management, and workspace security, with further integration expected as products are aligned to the four pillars.