Trent AI, an agentic security company focused on protecting AI-driven systems and autonomous workflows, has emerged from stealth with the announcement of a $13m seed funding round.
The round was led by LocalGlobe and Cambridge Innovation Capital, with additional participation from prominent angel investors including OpenAI member of technical staff Joaquin Quiñonero Candela, Databricks distinguished engineer Ippokratis Pandis, former head of Stripe data infrastructure and current director at AWS Avinash Bhat, and former Spotify VP engineering and head of AI/ML Tony Jebara, among others.
The company has built what it describes as the first multi-agent security solution designed to protect AI agents throughout their entire lifecycle. Its layered, unified platform is built for developers and security teams that want to ship agents quickly without compromising on security.
The offering operates through four distinct agent types: scanning agents that continuously monitor code, infrastructure and runtime behaviour; analysis agents that assess business impact and distinguish genuine risk from noise; remediation agents that patch vulnerabilities and validate fixes; and security posture agents that benchmark performance against standards and track risk trends over time. The system is designed to become more accurate with each cycle, tightening its feedback loop and improving the quality of its mitigations over time.
The fresh capital will support the company in building out the security foundations and frameworks it believes will underpin agentic systems for the coming decade, as it scales up from its initial design partner programme.
The launch comes amid a growing gap between the pace of AI agent adoption and the maturity of enterprise security frameworks to govern them. According to Deloitte’s 2026 State of AI report, nearly three quarters of companies plan to deploy agentic AI within two years, yet only one in five report having a mature governance model for autonomous agents.
Trent AI’s early design partners — including Canopy, Commscentre, ML@Cam, Qbeast and Weblogic — have already reported tangible benefits, including immediate visibility into their security posture, fast identification of vulnerabilities and clearly scoped remediation plans.
The company’s leadership team draws on experience from Spotify, AWS, Confluent and Alcion, the latter of which was acquired by Veeam.
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.”
Cambridge Innovation Capital partner Ian Lane said, “Agent adoption is outpacing enterprise security readiness. As autonomous workflows make decisions across critical systems, a new layer of infrastructure is needed to govern, observe, and enforce safe behavior. We believe Trent AI is well placed to define this category.”
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