Trent AI raises $13M to bring agentic AI security to enterprise workflows

The rapid adoption of autonomous AI agents across enterprise environments has created a significant and largely unaddressed cybersecurity gap. According to Deloitte’s 2026 State of AI report, nearly three in four companies plan to deploy agentic AI within two years, yet only one in five has a mature governance model for autonomous agents. London-based Trent AI has emerged from stealth with a $13 million seed round to tackle this structural vulnerability head-on, offering what it describes as the first multi-agent security solution purpose-built for the agentic era.

The seed round was co-led by LocalGlobe and Cambridge Innovation Capital, with participation from senior figures at OpenAI, Spotify, Databricks, AWS, and Stripe. The capital will be deployed to expand the engineering team, accelerate product development, and grow Trent AI’s early customer base across Europe and the United States.

LocalGlobe and Cambridge Innovation Capital back agentic AI security play

The calibre of Trent AI’s investor roster reflects the seriousness with which the industry views the agentic security challenge. LocalGlobe, one of Europe’s most prominent early-stage venture firms, co-led the round alongside Cambridge Innovation Capital, the University of Cambridge’s venture arm. The angel investor list reads as a who’s who of senior AI leadership: Joaquin Quiñonero Candela, a member of technical staff at OpenAI; Tony Jebara, former Vice President of Engineering and Head of AI/ML at Spotify; Ippokratis Pandis, a Distinguished Engineer at Databricks; and Avinash Bhat, a Director at AWS.

The founding team brings deep technical credibility to the challenge. CEO Eno Thereska previously served as Distinguished Engineer at Alcion, AWS, and Confluent. Chief Scientist Neil Lawrence holds the DeepMind Professorship of Machine Learning at the University of Cambridge and previously served as Director of Machine Learning at Amazon. CTO Zhenwen Dai brings experience as a machine learning scientist at AWS and Senior Research Manager at Spotify.

A platform built to secure autonomous AI agents

Unlike conventional cybersecurity tools retrofitted for AI environments, Trent AI’s platform deploys specialised AI security agents that continuously scan customer environments, assess risk, mitigate vulnerabilities, and evaluate overall security posture. The system operates through four distinct agent groups handling vulnerability detection, severity ranking, remediation recommendations, and security trend analysis.

The platform’s proprietary judgement layer and reinforcement learning technology orchestrate these security agents across customer workflows, transforming agentic AI security from a manual audit exercise into a continuous, automated process. Trent AI’s agents can simulate complex attack chains, detect overly broad access permissions, and generate actionable code improvement suggestions — capabilities that static rule-based security tools fundamentally lack.

The platform already integrates with popular AI development tools including Claude Code and Lovable, and supports CI/CD pipeline integration for continuous security monitoring. Trent AI has been adopted by several technology firms during its stealth period, with early design partners including Canopy and Weblogic.

European agentic AI security market gains momentum

Trent AI’s emergence comes at a time when the European cybersecurity market is experiencing substantial investment momentum, driven in part by regulatory frameworks such as the EU AI Act that place increasing obligations on organisations deploying autonomous AI systems. The gap between agentic AI adoption and adequate security infrastructure represents a significant market opportunity, particularly as enterprises move beyond experimental deployments toward production-grade autonomous workflows.

The $13 million seed round positions Trent AI among the better-capitalised European cybersecurity startups at the pre-Series A stage. With AI agent deployment accelerating across sectors from financial services to healthcare, the demand for purpose-built agentic security solutions is expected to grow substantially in the coming years.

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