Trent AI Secures $13M to Develop Multi-Agent Security for Autonomous AI Systems

Trent AI Secures $13M to Develop Multi-Agent Security for Autonomous AI Systems

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The London startup came out of stealth mode on April 7, unveiling a comprehensive agentic security solution and securing a seed round with backing from LocalGlobe and Cambridge Innovation Capital. Among its co-founders is a Cambridge professor who was formerly Amazon’s director of machine learning.


Trent AI, a London-based agentic security firm, has secured $13 million in seed funding and has emerged from stealth mode. The round was led by LocalGlobe and Cambridge Innovation Capital, with contributions from angel investors like Joaquin Quiñonero Candela from OpenAI; Avinash Bhat, a Director at AWS; Ippokratis Pandis, a Distinguished Engineer at Databricks; and Tony Jebara, former Vice President of Engineering and AI/ML Head at Spotify.

Founded in 2025, Trent AI is officially launching on April 7, 2026.

Trent AI addresses a growing gap as enterprises implement autonomous AI agents faster than their security infrastructures can adapt. Its product is a multi-agent security platform designed specifically for agentic settings, not a typical static-rules security tool adapted for AI.

The solution operates through four kinds of specialized agents running concurrently: Scan agents analyze code, infrastructure, dependencies, and runtime behavior to identify risks.

Judge agents classify and prioritize signals based on actual business impact rather than preset rules. Mitigate agents automatically patch vulnerabilities and validate fixes. Evaluate agents monitor risk trends over time and compare against standards.

The interaction between these layers is crafted to enhance the accuracy of each subsequent cycle.

The founding team is strategically composed to combine 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 is the DeepMind Professor of Machine Learning at the University of Cambridge and formerly 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 highlighted by Trent AI revealed that 74% of companies intend to implement agentic AI within two years, yet only 21% report having a mature governance model for autonomous agents, a gap the company aims to address.

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

The product also features an open-source security agent for OpenClaw. Saul Klein, co-founder and executive chairman of Phoenix Court, which houses LocalGlobe, stated this is “the right time to build the long-term foundations of security for agentic systems.”

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