Trent AI, an agentic security company, has emerged from stealth with $13m in seed funding and a platform designed to protect AI agents throughout their entire lifecycle.
The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from a collection of prominent angel investors, including OpenAI member of technical staff Joaquin Quiñonero Candela, director at AWS Avinash Bhat, Databricks distinguished engineer Ippokratis Pandis, and former Spotify VP engineering and head of AI/ML Tony Jebara.
The company has built what it describes as the first multi-agent security solution designed to evolve alongside the agents it protects. The platform operates across four layers: scanning agents that continuously monitor code, infrastructure and runtime behaviour; analysis agents that distinguish genuine threats from noise and prioritise by business impact; remediation agents that patch vulnerabilities and validate fixes; and posture agents that track risk trends, benchmark against standards and sharpen the accuracy of future risk forecasts.
The system is designed for developers and security teams looking to ship agents quickly without compromising security, with each cycle making its agents more intelligent about the systems they defend.
Trent AI intends to use the fresh capital to further develop its layered security platform and expand its reach among enterprises deploying autonomous AI workflows. The funding marks the company’s public debut following an undisclosed period of stealth-mode development, during which it built out its product with a group of design partners.
Among those early partners — including Canopy, Commscentre, ML@Cam, Qbeast and Weblogic — reported benefits include immediate visibility into their security posture, fast identification of vulnerabilities, and an adaptive feedback loop that improves over time. The company’s leadership team draws on experience from Spotify, AWS, Confluent, and Alcion, which was acquired by Veeam.
The raise comes amid rapidly growing enterprise interest in agentic AI. According to Deloitte’s 2026 State of AI report, nearly three in four companies plan to deploy agentic AI within two years, yet only one in five report having a mature governance model for autonomous agents — a gap Trent AI is positioning itself to close.
Trent AI co-founder and CEO Eno Thereska said, “Organizations are deploying AI agents and autonomous workflows faster than their security can adapt, and most development teams using these agents and workflows have no security framework designed for their systems. This is not an easy problem to solve. Trent AI is tackling these difficult and important problems, while building the necessary security foundations and frameworks for agentic systems now and through the next decade.”
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