Trent AI secures $13 million to develop multi-agent security systems.

      The London startup has come out of stealth on April 7, launching a multi-layered agentic security solution and securing a seed funding round supported by LocalGlobe and Cambridge Innovation Capital. Among its co-founders is a professor from Cambridge who previously served as Amazon's director of machine learning.

      Trent AI, based in London, has raised $13 million in seed funding and is making its debut. The funding round, which was spearheaded by LocalGlobe and Cambridge Innovation Capital, also saw contributions from angel investors such as Joaquin Quiñonero Candela, a technical staff member at OpenAI; Avinash Bhat, an AWS Director; Ippokratis Pandis, a Distinguished Engineer at Databricks; and Tony Jebara, former Vice President of Engineering and Head of AI/ML at Spotify.

      The company was established in 2025 and will officially launch on April 7, 2026.

      Trent AI aims to fill a significant gap that has emerged as businesses adopt autonomous AI agents more quickly than their security systems can evolve. The company offers a multi-agent security platform specifically designed for agentic environments, rather than utilizing a traditional static-rules security tool that has been adapted for AI.

      This platform operates through four types of specialized agents that run continuously in parallel: Scan agents that monitor code, infrastructure, dependencies, and runtime behavior to identify risks; Judge agents that assess and prioritize signals based on actual business impact instead of pre-established rules; Mitigate agents that automatically patch vulnerabilities and validate fixes; and Evaluate agents that track risk trends over time and measure against standards.

      The feedback loop among these layers is crafted to enhance the accuracy of each successive cycle.

      The founding team is intentionally organized to blend academic expertise with operational scale. CEO Eno Thereska was formerly a Distinguished Engineer at Alcion (acquired by Veeam), AWS, and Confluent. Co-founder Neil Lawrence holds the position of DeepMind Professor of Machine Learning at the University of Cambridge and was the Director of Machine Learning at Amazon.

      The third co-founder, Zhenwen Dai, has experience as a machine learning scientist at AWS and as a Senior Research Manager at Spotify. According to a Deloitte survey referenced by Trent AI, although 74% of companies plan to implement agentic AI within the next two years, only 21% report having a well-developed governance model for autonomous agents, which is the gap the company aims to directly address.

      Design partners such as Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic are already using the platform. Trent AI is also a partner member of OWASP, the Open Worldwide Application Security Project, and is a startup partner with Carnegie Mellon University’s CyLab Venture Network.

      Additionally, the product features an open-source security agent for OpenClaw. Saul Klein, co-founder and executive chairman of Phoenix Court, the home of LocalGlobe, characterized this moment as “the right time to build the long-term foundations of security for agentic systems.”