The London startup emerged from stealth on 7 April with a layered agentic security solution and a seed round backed by LocalGlobe and Cambridge Innovation Capital. Its co-founders include a Cambridge professor who was previously Amazon’s director of machine learning.
Trent AI, a London-based agentic security company, has raised $13 million in a seed round and emerged from stealth. The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from angel investors including Joaquin Quiñonero Candela, a member of technical staff at OpenAI; Avinash Bhat, a Director at AWS; 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 founded in 2025 and is publicly launching on 7 April 2026.
Trent AI is targeting a structural gap that has widened as enterprises deploy autonomous AI agents faster than their security frameworks can adapt. The company’s product is a multi-agent security platform built specifically for agentic environments, rather than a conventional static-rules security tool retrofitted for AI.
It works through four types of specialised agents running continuously in parallel: Scan agents that observe code, infrastructure, dependencies, and runtime behaviour to locate risk.
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Judge agents that classify and prioritise signals based on real business impact rather than predefined rules. Mitigate agents that patch vulnerabilities and validate fixes automatically. And evaluate agents that track risk trends over time and benchmark against standards.
The feedback loop between these layers is designed to improve the accuracy of each subsequent cycle.
The founding team is deliberately structured around the combination of academic depth and operational scale. CEO Eno Thereska was previously a Distinguished Engineer at Alcion (acquired by Veeam), AWS, and Confluent. Co-founder Neil Lawrence is the DeepMind Professor of Machine Learning at the University of Cambridge and served as Director of Machine Learning at Amazon.
The third co-founder, Zhenwen Dai, was a machine learning scientist at AWS and Senior Research Manager at Spotify. A Deloitte survey cited by Trent AI found that while 74% of companies plan to deploy agentic AI within two years, only 21% report a mature governance model for autonomous agents, the gap the company is explicitly designed to address.
Design partners including Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic are already running the platform. Trent AI is a partner member of OWASP, the Open Worldwide Application Security Project, and a startup partner with Carnegie Mellon University’s CyLab Venture Network.
The product also includes an open-source security agent for OpenClaw. Saul Klein, co-founder and executive chairman of Phoenix Court, the home of LocalGlobe, described the moment as “the right time to build the long-term foundations of security for agentic systems.”
