Pluto Security Emerges With $42M to Watch AI Agents at Work
The startup says its endpoint software can spot risky AI tools and intervene while an agent works; its funding and traction figures come from a founder interview.
A new control point for workplace AI
Pluto Security has emerged from stealth with $42 million in total funding and a product aimed at the AI tools running on employee devices, TechCrunch reported on October 13. The startup says its software tracks agents, skills, extensions, MCP servers and apps built by employees, then flags risky components or actions. Founder and CEO Shahar Bahat told TechCrunch that the product can intervene while an agent is working, for example by stopping an attempt to gain excessive permissions or prompting the agent to ask a user for confirmation. Pluto’s English site also pitches coverage of AI supply-chain components and exposed AI-generated apps.
Funding is reported; risk figures are claims
TechCrunch says the total combines an $8.5 million seed round and a $34 million Series A led by Jump Capital. Bahat told the publication that Pluto began selling in April and has more than 30 enterprise customers. She also said roughly 60% of risks the company detects across its customer base come from tools created by non-developers. Those customer and risk figures are Pluto’s account, not audited market-wide measurements. The report establishes a funded product launch and an emerging enterprise-security pitch; it does not prove that every AI agent action can be detected or prevented.