London-based agentic security company, Trent AI, has raised $13 million in a seed round and emerged from stealth with a multi-agent security solution. The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from angel investors including Joaquin Quiñonero Candela, Avinash Bhat, Ippokratis Pandis, Tony Jebara, and Zhenwen Dai. Trent AI's co-founders include a Cambridge professor who was previously Amazon's director of machine learning. The company's product is designed to address a structural gap as enterprises rapidly deploy autonomous AI agents faster than their security frameworks can adapt. Design partners including Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic are already running the platform.