Check Point buys Deepchecks to bolster AI and LLM security testing

Check Point Software Technologies has agreed to acquire Israeli AI startup Deepchecks, a specialist in evaluation, testing, monitoring, and observability for machine learning and large language models. The transaction focuses on acquiring Deepchecks’ team and intellectual property, and was announced alongside Check Point’s new Agentic Network Security Orchestration platform. Industry reports put the deal value in the $10–20 million range, with one deal-tracking source citing a $15 million purchase price, although the companies have not formally disclosed financial terms.

Deepchecks provides tools to evaluate AI models in production, detect bias and data quality issues, and monitor the behavior of LLM-based systems, capabilities that are increasingly important as enterprises deploy autonomous AI and agentic workflows in security operations. By integrating Deepchecks’ technology and talent, Check Point aims to validate and monitor AI-driven actions inside its agentic network security platform, reducing the risk of erroneous automated responses and strengthening trust in autonomous agents. The acquisition gives Deepchecks a larger distribution channel and embeds its platform into a broad cybersecurity product portfolio, highlighting the growing convergence of AI assurance, LLM evaluation, and core security infrastructure as vendors race to operationalize AI safely in production environments.