Check Point has unveiled a comprehensive strategy to enhance the security of enterprise artificial intelligence (AI) applications, alongside announcing three acquisitions aimed at bolstering its offerings in AI security, exposure management, and managed service provider (MSP) tools. This strategy is structured around four key pillars: Hybrid Mesh Network Security, Workspace Security, Exposure Management, and AI Security, presenting a unified framework for organizations operating across various environments such as cloud services, data centers, and remote workforces.
The evolving landscape of workplace AI is shifting from basic productivity tools to more autonomous systems, which is also changing the modus operandi of attackers. As organizations increasingly adopt AI technologies, they are facing new vulnerabilities, including attempts to exploit AI tools, identities, and permissions. Check Point’s strategy places a strong emphasis on prevention and multi-vendor operational capabilities to mitigate these risks.
The first pillar, Hybrid Mesh Network Security, focuses on safeguarding distributed networks that span hybrid cloud environments, on-premises data centers, branch locations, and internet-facing services. Check Point has characterized this approach as a unified, AI-powered model designed to enhance security across diverse infrastructures.
Workspace Security, the second pillar, addresses the daily tools utilized by employees—covering endpoints, browsers, email, software-as-a-service applications, and collaboration platforms. With the incorporation of AI features into many of these tools, new vulnerabilities arise, leading to potential data exposure and account compromises.
The third pillar, Exposure Management, aims to enhance visibility into an organization’s attack surface. This approach prioritizes risks based on business context rather than simply responding to high volumes of alerts. As businesses grapple with increasingly complex security landscapes, the need for improved asset visibility and risk prioritization becomes critical.
The fourth pillar, AI Security, directly addresses the burgeoning adoption of AI technologies within enterprises. It encompasses employee usage of AI tools, enterprise AI applications, and autonomous AI agents, reflecting the growing necessity to manage the identities, permissions, and behaviors of software agents that can access sensitive systems and data.
Check Point plans to implement these four pillars through an open platform approach termed “open garden,” which emphasizes seamless integration with existing security tools and operations for organizations with mixed security stacks.
In tandem with this strategic rollout, Check Point has made three acquisitions: Cyata, Cyclops, and Rotate. Although financial details regarding these transactions were not disclosed, the company indicated that further information will be available in its fourth-quarter and full-year 2025 earnings materials.
Cyata enhances Check Point’s capabilities in managing AI agent identities. Founded in 2024, Cyata developed a platform that identifies active AI agents, maps their permissions, monitors their behavior, and implements automated security policies. This addition addresses a significant concern for enterprises, as the rapid creation of AI agents can lead to governance challenges that exceed traditional management processes for human users and machine identities.
Cyclops contributes to the exposure management function. Established in 2021, the company developed a cyber asset attack surface management platform designed to consolidate data across various environments, offering comprehensive asset visibility and risk prioritization. Competitively, this segment of the market has become increasingly crowded, with organizations seeking more integrated views of their assets and vulnerabilities.
Rotate introduces tools specifically aimed at MSPs, described by Check Point as an all-in-one platform that delivers centralized protection across distributed workforces and SaaS environments. MSPs are becoming crucial partners for security vendors targeting mid-market and smaller enterprise customers, and they represent high-value targets for attackers due to their access to numerous client environments. As MSPs strive to standardize service offerings, platforms that streamline policy and monitoring across multiple tenants are increasingly essential.
The acquisitions highlight Check Point’s anticipation of where demand will surge as AI technologies permeate business operations. The focus on identity controls for AI agents, extensive attack surface visibility, and MSP management tools directly correlates with three primary operational challenges: managing new forms of access, prioritizing risks in complex environments, and scaling security operations for distributed users. Roi Karo, Chief Strategy Officer at Check Point, remarked on these developments, stating, “As AI reshapes how organizations 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.” This strategic direction not only reinforces Check Point’s commitment to addressing modern security challenges but also positions the company to support its customers in navigating the complexities of an AI-integrated future.
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