Enterprise security teams are facing a changing environment as artificial intelligence gives employees new ways to develop applications, create autonomous agents, and automate business processes. The challenge is no longer limited to controlling which software enters an organization. Companies must also understand what AI tools connect to, which components they rely on, and what actions they can perform. First reported by TechCrunch, Pluto Security has emerged from stealth with $42 million in total funding to address these risks.
The company announced multi-million-dollar annual recurring revenue, more than 1 million endpoints secured globally, and over 40 enterprise customers, including Oscar Health, Workato, Sixt, AlphaSense, and Fortune 500 organizations. Founded in 2025, Pluto is led by CEO and co-founder Shahar Bahat and is building what it describes as the security layer for the AI workspace.
Why the AI Supply Chain Matters
AI-powered development tools are enabling employees outside traditional engineering teams to build software and automate tasks. Platforms such as Claude Code, Codex, Cowork, Lovable, and Base44 can support the creation of applications, agents, and workflows without conventional development teams.
However, these capabilities also introduce dependencies that security teams must evaluate. Pluto identifies skills, extensions, packages, MCPs, models, and other components as parts of the emerging AI supply chain. According to the company, employees across its customer base use hundreds of these components while building thousands of applications.
This creates a challenge for organizations seeking to understand activity across endpoints while maintaining appropriate controls over sensitive information. Pluto combines endpoint visibility, contextual analysis, and real-time enforcement to help security teams identify and respond to potentially unsafe behavior.
Its platform can block malicious skills, restrict unsafe agent actions, and prevent access to sensitive data or credentials without stopping legitimate work. The company’s approach is designed to account for how employees actually use AI rather than relying exclusively on restrictive controls.
Funding to Expand the Platform
Pluto’s latest financing is an approximately $34 million round led by Jump Capital. Combined with a seed round led by TLV Partners, the investment brings the company’s total funding to $42 million. Additional investors participated in the seed round.
“The new capital will support continued investment in Pluto’s product, research, and U.S. expansion as the AI supply chain evolves,” the company said in its announcement.
Jump Capital’s investment thesis also reflects Pluto’s emphasis on research and practitioner engagement. Rather than relying solely on traditional outbound sales, the company has developed free resources intended to help security professionals understand emerging AI risks.
Plutonium, a free AI supply chain security hub powered by Pluto’s proprietary RisksDB, is one example. The resource helps practitioners assess risks associated with AI supply chain components such as skills and extensions. Pluto reports that thousands of security professionals are already using and contributing to the hub.
“Pluto has built a fundamentally different GTM engine for cybersecurity,” said Saaya Pal, Partner at Jump Capital. “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 hundreds of practitioners use the resource every week and that most of Pluto’s pipeline now comes inbound. She also pointed to the difficulty of building distribution early in a cybersecurity company’s development.
A Security Model Built Around Context
Bahat said Pluto’s philosophy developed in response to the limits of traditional security approaches when employees adopt new tools faster than security teams can assess them.
“We took a different approach from the beginning: understand what users are trying to accomplish, understand their intent, and give security teams the context to enable that work safely rather than simply block it,” Bahat said.
That approach positions the product around understanding activity and applying controls where needed. Instead of treating every new AI tool as a reason to halt work, Pluto aims to help enterprises distinguish legitimate use from risky behavior.
The Founders and Investors
Bahat founded Pluto with Tal Ofer Regev and Gil Maman. The founders have backgrounds spanning 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 over six years in Israeli Military Intelligence in technical leadership roles covering advanced cyber research and security engineering.
Pluto now employs more than 50 people across the United States and Israel. Its backers include Jump Capital, TLV Partners, Skinos, AlphaDrive Ventures, Ansa Capital, MTF, and individual investors from the technology and cybersecurity sectors.
Preparing for the Next Phase of Enterprise AI
Rona Segev, co-founder and managing partner at TLV Partners, said Pluto’s approach allows security teams to understand AI activity and act with precision rather than simply block innovation.
The company’s next phase will focus on product development, research, and expansion in the United States. As AI tools become more accessible across enterprise teams, Pluto is betting that organizations will need security systems capable of accounting for the growing network of tools, dependencies, applications, and automated actions surrounding AI use.