Pluto Security Emerges from Stealth with $42 Million to Secure Enterprise AI
Cybersecurity startup Pluto Security has emerged from stealth with $42 million in total funding to secure enterprise artificial intelligence tools and employee-built applications.
The cybersecurity startup Pluto Security, founded by 30-year-old Shahar Bahat alongside Tal Ofer Regev and Gil Maman, has emerged from stealth mode with a total funding of $42 million, according to the company's announcement. The latest funding round, totaling approximately $34 million, was led by Jump Capital, with participation from Shlomo Kramer's Skinos Ventures and AlphaDrive Ventures. The company develops a platform for securing artificial intelligence tools within enterprises and the applications employees build using them.
Rapid Commercial Growth and Enterprise Adoption
Founded in 2025, Bahat serves as CEO, Regev as Chief Product Officer, and Maman as Chief Technology Officer. According to the company, within roughly half a year of commercial activity, it reached millions of dollars in Annual Recurring Revenue (ARR). It secures over one million endpoint devices worldwide and serves more than 40 enterprise clients, including Oscar Health, Workato, Sixt, and AlphaSense, as well as Fortune 500 companies.
The seed round was led by TLV Partners, with participation from Ansa Capital. Additional investors include Ariel Maislos, Yevgeny Dibrov, and Nadir Izrael, the founders of Armis, Sharin Fisher Dibrov, Slavik Markovich, co-founder of Descope, Assaf Ezra, partner at a16z, and Idan Tendler, investment partner at Vine Ventures. The company employs over 40 people in Israel and the United States, with the funding designated for further product development, research, and expansion in the US.
Addressing the AI Development Security Challenge
Pluto's product is designed to handle a work environment where employees can build software without necessarily being developers. Popular coding tools allow employees to build applications, AI agents, workflows, and automations. Alongside these tools, various components enter the organization, including skills, extensions, code packages, MCP components, and models.
In an era where employees adopt AI tools and build applications with them at a rapid pace, traditional security approaches are no longer sufficient. We chose to start by understanding what the employee is trying to do, identify the risk in the correct context, and allow them to continue working as long as the activity is safe, said Shahar Bahat.
The system integrates endpoint data with real-time analysis of AI tools, connected components, and actions performed by AI agents. According to Pluto, this distinguishes between legitimate use and high-risk actions, enforcing corporate policy without unnecessarily disrupting workflow.