London-based cybersecurity startup Trent AI emerged from stealth on April 7 with €11 million ($13 million) in seed funding to build runtime security infrastructure purpose-built for autonomous AI agents. The round was led by LocalGlobe and Cambridge Innovation Capital, according to EU-Startups.
The angel investor list reads like a who’s who of enterprise AI infrastructure: OpenAI member of technical staff Joaquin Quiñonero Candela, former Stripe data infrastructure head and current AWS director Avinash Bhat, Databricks distinguished engineer Ippokratis Pandis, and former Spotify VP of engineering and head of AI/ML Tony Jebara, as Fintech Global reported.
How It Works
Trent AI’s platform operates through four distinct agent types that form a continuous security loop, according to the Fintech Global report. Scanning agents monitor code, infrastructure, and runtime behavior. Analysis agents assess business impact and separate genuine risk from noise. Remediation agents patch vulnerabilities and validate fixes. Security posture agents benchmark performance against standards and track risk trends over time.
The approach is notable: rather than bolting traditional security monitoring onto agent workflows, Trent AI uses agents to secure agents. The system is designed to tighten its feedback loop and improve mitigation quality with each cycle.
The Market Gap
The timing aligns with a widening gap between agent adoption and security readiness. Deloitte’s 2026 State of AI report found that 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, per the Fintech Global coverage.
“Organisations 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,” Trent AI co-founder and CEO Eno Thereska told EU-Startups.
Cambridge Innovation Capital partner Ian Lane framed it more bluntly: “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.”
A European Cluster Forming
Trent AI joins a visible wave of European agentic security funding. EU-Startups tallies approximately €63 million raised across agentic security and reliability tooling in 2025 and 2026, with London standing out as a domestic cluster. Overmind raised €2.3 million for AI agent supervision. Qevlar AI in Paris raised €25.8 million for automated security operations. Innerworks, also in London, raised €3.7 million for AI fraud detection.
The founding team brings experience from Spotify, AWS, Confluent, and Alcion (acquired by Veeam). Co-founder Neil Lawrence holds the DeepMind Professorship of Machine Learning at the University of Cambridge and previously served as Director of ML at Amazon. Co-founder Zhenwen Dai was a Machine Learning Scientist at AWS and Senior Research Manager at Spotify.
Where Capital Is Flowing
Trent AI’s seed lands days after Cisco entered acquisition talks with Astrix Security for $250 to $350 million, marking Cisco’s second AI security deal in two days. The pattern is clear: capital is flowing into the security layer for agent infrastructure at both the startup and M&A level. For enterprises evaluating agent deployments, the question is shifting from “can we build agents?” to “can we secure what they do once deployed?”