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  5. Pluto Security Raises $42M to Track and Secure Rogue Enterprise AI Agents
CybersecurityMAG 6AI: Bullish
•
2026-10-14•2 min read

Pluto Security Raises $42M to Track and Secure Rogue Enterprise AI Agents

Zubiqo Take
QuoteThreads

“Enterprises are deploying autonomous models faster than IT can track them, forcing security teams to rely on Pluto's lightweight sensors to literally prompt-inject rogue agents before they execute restricted workflows.”

Pluto Security Raises $42M to Track and Secure Rogue Enterprise AI Agents
📷 Image Source: SiliconANGLE

Executive Summary

  • •Pluto Security secured $42M in funding to map and secure enterprise AI agents across cloud infrastructure and endpoints.
  • •The Tel Aviv startup reportedly generates over $2M in annualized revenue from more than 30 enterprise customers.
  • •The platform neutralizes risky actions by feeding direct stop prompts to the executing autonomous models.

Community Sentiment

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Key Developments & Data

Pluto Security announced a $42M funding round led by Jump Capital and TLV Partners to expand its enterprise AI agent security platform. The Tel Aviv-based startup reportedly generates over $2M in annualized revenue across more than 30 enterprise customers. The software automatically maps deployed agents across cloud infrastructure, SaaS applications, and employee endpoints to identify the underlying AI models and any user-added plugins. To intercept malicious activity, Pluto relies on lightweight telemetry sensors that halt unauthorized workflows by sending direct stop prompts to the executing agents. The company also operates a free service called Plutonium that screens more than 4,500 publicly available agent extensions and application connectors for risks prior to installation.

Zubiqo Strategic Assessment

Primary Impact

Enterprise IT and cybersecurity teams managing the rapid deployment of autonomous AI agents across corporate infrastructure.

Strategic Shift

Enterprise security perimeters are expanding from human identity verification to real-time behavioral interception of autonomous AI models.

The Ripple Effect

As employees increasingly integrate custom plugins and external data repositories into local AI models, legacy network monitoring tools will fail to catch context-specific agent behaviors without dedicated telemetry.

This intelligence assessment is generated by Zubiqo's AI for informational purposes only.

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#pluto security#funding#ai agents#cybersecurity
Read original on SiliconANGLE
Zubiqo MethodologyAI Synthesis

Synthesized from linked market reporting using AI extraction under Zubiqo's editorial standards. Have a correction? Contact our desk.

Event Magnitude6 / 10
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