Enterprise employees are gaining the ability to build applications and automate tasks with little traditional development experience. That flexibility creates new opportunities for businesses, but it also complicates the work of security teams responsible for protecting corporate systems, sensitive information, and software environments. The challenge is no longer limited to deciding which applications employees can install; it also involves understanding what AI tools create, which components they rely on, and what actions they perform.
TechCrunch first reported on Pluto Security‘s emergence from stealth, a milestone accompanied by $42 million in total funding. The company also announced multi-million-dollar annual recurring revenue, more than 1 million endpoints secured globally, and a customer base of over 40 enterprises, including Oscar Health, Workato, Sixt, AlphaSense, and Fortune 500 organizations.
Why Existing Workflows Are Changing
AI tools such as Claude Code, Codex, Cowork, Lovable, and Base44 allow employees to build applications, agents, automations, and workflows without relying exclusively on traditional development teams. As these capabilities spread across organizations, the number of components that security teams need to assess can expand as well.
Pluto identifies skills, extensions, packages, MCPs, models, and other dependencies as parts of the AI supply chain. According to the company, employees across its customer base use hundreds of supply chain components while building thousands of applications.
Pluto’s platform is designed to provide visibility, contextual risk assessment, and real-time control across the AI tools employees use, the supply chain surrounding those tools, and the applications, agents, and automations they create.
The product combines endpoint visibility, contextual analysis, and real-time enforcement. Its capabilities include blocking malicious skills, restricting unsafe agent actions, and preventing access to sensitive data or credentials without stopping legitimate work.
A Different Philosophy for Security
CEO and co-founder Shahar Bahat said Pluto was built around understanding what employees are trying to accomplish rather than relying exclusively on restrictive controls.
“Security has traditionally been built around stopping things, but that model breaks down when the business is moving faster than security can evaluate every new tool,” Bahat said.
The company aims to give security teams the context needed to enable work safely while retaining the ability to intervene when activity creates risk. Bahat said that approach informs both the product and the company’s engagement with security professionals.
Funding and Commercial Traction
Pluto’s latest financing is an approximately $34 million round led by Jump Capital. Its seed round was led by TLV Partners, with participation from additional investors, bringing total funding to $42 million.
The company says it reached multi-million-dollar ARR in less than a year. It has grown to more than 50 employees across the United States and Israel, with plans to use the new capital to invest further in its product, research, and U.S. expansion.
The investor group includes Jump Capital, TLV Partners, Skinos, AlphaDrive Ventures, Ansa Capital, and MTF, alongside individual investors with experience in technology and cybersecurity.
Research as Part of the Product Strategy
Pluto’s approach also extends beyond its commercial platform. Its free Plutonium AI supply chain security hub, powered by proprietary RisksDB, helps security professionals assess risks across components such as skills and extensions. Pluto says thousands of security professionals are already using and contributing to the resource.
Saaya Pal, partner at Jump Capital, highlighted the company’s decision to make part of its research available to practitioners.
“The clearest example is Plutonium, their AI risk database — there was no good public data on what AI tools are actually doing inside enterprises, so the team built it and gave part of it away,” Pal said.
Pal added that hundreds of practitioners use the resource every week and that most of Pluto’s pipeline now comes inbound.
The Team Behind the Platform
Bahat founded Pluto alongside Tal Ofer Regev and Gil Maman. Their backgrounds span Microsoft, Palo Alto Networks, Bridgecrew, and Israel’s Unit 8200. Bahat previously held senior cybersecurity leadership roles at Microsoft and Palo Alto Networks and is a Forbes 30 Under 30 honoree. Regev previously served as vice president of research and development at Palo Alto Networks, managing more than 150 people. Maman spent more than six years in Israeli Military Intelligence in technical leadership roles.
Making AI Adoption More Manageable
Rona Segev, co-founder and managing partner at TLV Partners, said Pluto gives security teams a way to understand AI activity and act with precision rather than simply blocking innovation.
With more than 40 enterprise customers and over 1 million endpoints secured, Pluto is entering its next phase with a focus on product development, research, and U.S. expansion. Its opportunity lies in helping organizations manage the risks associated with a growing AI workspace while allowing employees to continue using the technology productively.
