Check Point is strengthening its AI security play with the acquisition of Lakera, a platform built to secure large language models, generative AI, and autonomous agents. The deal reflects a broader shift underway: enterprises aren’t just piloting AI anymore - they’re weaving it into core operations. That move brings efficiency and scale, but it also introduces new attack surfaces that legacy tools can’t fully address. By adding Lakera to its portfolio, Check Point is positioning itself to deliver a prevention-first security stack that covers the full AI lifecycle, from development through runtime.
Expanding the AI Security Stack
As AI becomes central to business workflows, the risks evolve quickly. Data exposure, model manipulation, and the behavior of autonomous agents all create new entry points for attackers. Check Point has already stepped into this space with offerings like GenAI Protect, SaaS and API security, and advanced data loss prevention. With Lakera, it gains a deeper layer of runtime protection and continuous red teaming - capabilities designed to keep pace with the realities of live, AI-driven environments.
David Meister, Global Head of MSSP at Check Point explained to ChannelE2E: “We will continue offering Lakera’s products as they are today, where they already deliver strong protection for GenAI applications and LLMs. At the same time, we are integrating Lakera’s AI-native runtime protection and continuous red teaming into the Check Point Infinity architecture to build a true end-to-end AI security stack. CloudGuard WAF is one of the first products to already integrate with Lakera, with additional integrations across our broader portfolio to follow.”
By layering Lakera’s runtime protection into the Infinity architecture, Check Point is not just expanding features - it is reshaping how enterprises think about AI security as part of a unified strategy.
Lakera’s Role in the Portfolio
Lakera arrives with credibility that goes beyond product features. Built by researchers with backgrounds at Google and Meta, the company was designed from day one for AI-native environments. Its tools combine pre-deployment posture assessments, real-time runtime enforcement, and continuous red teaming, reinforced by Gandalf’s large-scale adversarial network. That mix of research-driven rigor and operational resilience allows Lakera to defend against the fast-evolving threats targeting AI systems.
This proven foundation is central to the acquisition: “Lakera’s technology is proven at scale and already protects some of the most advanced enterprise AI deployments. Powered by its Gandalf engine, it supports more languages than competing solutions and delivers stronger prevention capabilities. Combined with Check Point’s Infinity platform, we can deliver a differentiated, prevention-first AI security stack that spans the entire AI lifecycle - from development to deployment to runtime,” according to Meister.
For customers, this means they are not just adding another security layer but adopting a system designed specifically for the realities of AI.
Building a Center of Excellence and Partner Opportunity
The acquisition also sets the stage for broader ecosystem impact. Lakera will serve as the foundation for Check Point’s new Global Center of Excellence for AI Security, an initiative designed to accelerate research, refine best practices, and create a focal point for enterprises navigating AI risk. For customers, it signals that Check Point intends to be more than a product vendor - it wants to be a central authority shaping how AI security evolves.
Service providers are likely to feel this impact most immediately. The demand from enterprise customers to secure AI workflows is rising, and MSPs and MSSPs are expected to deliver. “Check Point’s solutions are built for both enterprises and MSPs, who use them daily to protect customers across cloud, network, email, and now AI-driven environments,” Meister explained.
"With the integration of Lakera into the Infinity Platform, MSPs gain access to one of the industry’s first end-to-end AI-native security stacks which is purpose-built to secure the full lifecycle of AI, including models, agents, and data. This means MSPs can now offer managed services that protect GenAI workflows, prevent prompt injection, and enforce real-time guardrails around LLMs and autonomous agents all from the same Infinity Portal they already use to deliver WAF, email, endpoint, and network security.”
This unified delivery model simplifies operations for partners and opens new service lines at a time when differentiation in managed services is increasingly tied to specialization in AI.
Looking Ahead
The acquisition signals a larger shift in how the industry will measure leadership in cybersecurity. It is no longer enough to protect the perimeter or endpoints - AI itself has become an operational layer that needs continuous protection. Check Point is placing its bet on being the vendor that can deliver those protections at enterprise scale, across every phase of the AI lifecycle.
As Meister put it, “Along with what’s mentioned earlier, Check Point’s Infinity Portal for MSSPs gives partners a unified platform to deliver a broad range of security services with ease and efficiency. By combining Lakera’s runtime protection and red teaming capabilities with Check Point’s AI-powered architecture, MSPs can confidently support their customers’ AI transformation, scaling services, simplifying operations, and differentiating in a rapidly evolving market. Beyond network and endpoint security, partners can now offer GenAI protections, WAF, and email security, all from a single, integrated platform.”
For enterprises and partners alike, the acquisition of Lakera makes one thing clear: AI security is no longer a niche add-on but a central pillar of defense. Check Point is aligning itself to meet that reality head-on, turning AI risk into an area where it can lead the market.
