Lakera (Generative AI Security) Dossier

Operating within the highly regulated cybersecurity sector, Lakera (Generative AI Security) reached $5.7 million in Annual Recurring Revenue during the 2025 fiscal period. Lakera (Generative AI Security) utilizes a B2B SaaS revenue model, generating its primary income through custom enterprise subscriptions and direct enterprise sales targeting security teams and product builders. In September 2025, Check Point Software Technologies acquired Lakera (Generative AI Security) at a valuation of $300.0 million to integrate real-time artificial intelligence protection into its broader corporate security ecosystem.

Financial Highlights

* Annual Recurring Revenue (2025): $5,700,000

* Acquisition Valuation: $300,000,000

* Total Employee Count (2026): 102

* Gandalf Platform Users: 1,000,000

* Gandalf Attack Data Points: 80,000,000

* Check Point Software Ownership Stake: 100 percent

Lakera (Generative AI Security) targets customers spanning from individual developers to Fortune 500 enterprises in sectors such as finance, healthcare, and aerospace. Lakera (Generative AI Security) maintains a competitive advantage through a proprietary data moat... Sign in / Sign up to learn more about Lakera AI AG

Continue your research by chatting with our AI financial analyst about Lakera AI AG. Ask follow-up questions, request specific analysis, or explore investment scenarios. All insights are grounded in verified financial data and SEC filings.

Start your analysis with these investor-focused questions:

• Considering Lakera (Generative AI Security) achieved $5.7 million in Annual Recurring Revenue (ARR) during FY2025, how does the $300 million acquisition valuation by Check Point Software reflect the market premium for proprietary data assets like the Gandalf platform?
• How does Lakera leverage its massive proprietary data moat—derived from over 80 million attack data points and 1 million hackers on the Gandalf platform—to maintain a competitive advantage against rivals like Protect AI and Enkrypt AI?
• Following its integration into Check Point Software, how is Lakera positioning its R&D pipeline to address emerging high-impact threats, such as memory injection and sleeper agents targeting autonomous AI systems?
• With emerging regulatory frameworks like the EU AI Act and GDPR imposing strict penalties for data exfiltration, how effectively does Lakera's PII Detection and real-time screening mitigate compliance risks for highly regulated enterprise clients?
• How does Lakera's freemium B2B SaaS model successfully transition developers from the free Community plan into custom Enterprise subscriptions, and what strategic role do self-serve API integrations play in accelerating this enterprise adoption?