TLDR: Check Point Software Technologies has announced its agreement to acquire Lakera, a leading AI-native security platform. This strategic move aims to provide an end-to-end AI security stack for enterprises, addressing emerging threats in AI applications. The acquisition, estimated at $300 million, will establish a Global Center of Excellence for AI Security in Zurich and is expected to close in Q4 2025.
Check Point Software Technologies Ltd. (NASDAQ: CHKP), a global leader in cybersecurity solutions, revealed on September 16, 2025, its definitive agreement to acquire Lakera, a prominent AI-native security platform specializing in agentic AI applications. This acquisition is poised to redefine cybersecurity standards by enabling Check Point to offer a comprehensive, end-to-end AI security stack designed to safeguard enterprises as they accelerate their adoption of artificial intelligence.
The strategic rationale behind the acquisition is clear: the rapid integration of large language models (LLMs), generative AI, and autonomous agents into core business workflows is transforming processes but simultaneously introducing novel attack surfaces. These new vulnerabilities range from data exposure and model manipulation to complex risks arising from multi-agent collaboration and autonomous decision-making.
Nadav Zafrir, CEO at Check Point Software Technologies, emphasized the importance of this acquisition, stating, “AI is transforming every business process, but it also introduces new attack surfaces. We chose Lakera because it brings AI-native security, superior precision, and speed at scale. Together we are setting the benchmark for how enterprises adopt and trust AI.”
Lakera, founded in 2021, employs 60 people and has successfully raised $30 million in outside funding, including a $20 million Series A round in July 2024 led by Atomico. The company’s co-founder and CEO, David Haber, a long-time AI practitioner, highlighted Lakera’s purpose-built approach for the AI era. “Lakera was purpose-built for the AI era, with real-time runtime security and research at its core,” said Haber. “Joining Check Point allows us to accelerate and scale our mission globally. Together we will protect LLMs, generative AI, and agents with the speed, accuracy, and guardrails enterprises need to embrace AI with confidence.”
Upon the closing of the transaction, anticipated in Q4 2025, Lakera will form the cornerstone of Check Point’s new Global Center of Excellence for AI Security. This center, to be based in Zurich, will spearhead AI security research, innovation, and integration across the entire Check Point Infinity Platform, solidifying Check Point’s position as a leader in securing the AI-powered enterprise.
The integration of Lakera’s capabilities will significantly enhance Check Point’s existing AI-related security offerings, such as GenAI Protect, SaaS and API security, advanced data loss prevention, and machine learning-powered defenses for applications, cloud, and endpoints. Specifically, Lakera’s runtime protection will combine with Check Point’s AI-powered Infinity architecture to secure the full lifecycle of AI – encompassing models, agents, and data. This unified approach aims to enable organizations to innovate confidently, at scale, and without compromise.
Check Point Software Chief Strategy Officer Roi Karo further explained that Lakera will initially be integrated into Check Point’s GenAI Protect platform, which focuses on preventing sensitive data leakage through LLM use at the employee level. Beyond that, Lakera’s capabilities will be integrated across Check Point’s broader product ecosystem, including network firewalls, Web Application Firewalls (WAFs), and email security, to create a unified, 360-degree AI security offering.
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This acquisition is part of a broader trend in the cybersecurity industry, where larger firms are actively acquiring AI-focused startups to expand their offerings. Recent examples include F5 acquiring CalypsoAI, Cato Networks acquiring Aim Security, and Varonis acquiring SlashNext, all within the same month.
