London-based Trent AI, an agentic security company, today announced its €11 million ($13 million) Seed round as it emerges from stealth with a layered security solution built for the agentic era.
The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from OpenAI Member of Technical Staff Joaquin Quiñonero Candela, former Head of Stripe Data Infrastructure and current Director at AWS Avinash Bhat, Databricks Distinguished Engineer Ippokratis Pandis, and former Spotify VP Engineering and Head of AI/ML Tony Jebara.
“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,” says Eno Thereska, co-founder and CEO of Trent AI.
“This is not an easy problem to solve. Trent AI is tackling these difficult and important problems, while building the necessary security foundations and frameworks for agentic systems now and through the next decade.”
In the closest EU-Startups coverage from 2025–2026, other relevant companies include:
- Overmind, a London-based startup that raised €2.3 million to grow technical teams, accelerate product development and scale go-to-market for its AI-agent supervision layer
- Innerworks, also in London, which raised €3.7 million to expand its AI-powered fraud detection platform
- Cyb3r Operations, another London company, which raised €4.6 million to tackle third-party cyber risk
- Qevlar AI, based in Paris, which raised €25.8 million to automate Security Operations Centre investigations with agentic AI
- Zepo Intelligence, which raised €12.8 million to protect workplaces from AI-driven human-targeted cyber threats
- Galtea, from Barcelona, which raised €2.7 million for its AI evaluation platform focused on reliable AI agents in production.
Together with Trent AI’s round, that brings sector funding to almost €63 million, suggesting a visible 2025–2026 flow of capital into European companies building security, supervision and reliability tooling around AI systems. The UK stands out in particular, as three of the closest comparable rounds are also London-based, placing Trent AI in a notably active domestic cluster.
“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,” adds Cambridge Innovation Capital Partner Ian Lane. “We believe Trent AI is well placed to define this category.”
Founded in 2025, Trent AI aims to redefine agentic AI with context-driven agentic security. Its proprietary judgement layer and reinforcement learning technology power a collection of specialized security agents. By orchestrating these agents across customer workflows, Trent AI transforms agentic security into a continuous part of agent development.
Trent AI was launched by co-founders: Eno Thereska, former Distinguished Engineer at Alcion (acquired by Veeam), AWS, and Confluent, Neil Lawrence, DeepMind Professor of Machine Learning at the University of Cambridge and previous Director of ML at Amazon, and Zhenwen Dai, former Machine Learning Scientist at AWS and Senior Research Manager at Spotify.
“The rise of agents goes hand in hand with the rise of new security threats,” says Saul Klein, co-founder and Executive Chairman of Phoenix Court, the home of LocalGlobe. “Now is the right time to build the long-term foundations of security for agentic systems. Trent AI is uniquely positioned to do this, combining deep academic expertise with real-world experience building large-scale systems and working closely with design partners deploying agents today.”
According to Deloitte’s 2026 State of AI report, nearly 3 in 4 (74%) companies plan to deploy agentic AI within two years. Despite this, only 1 in 5 (21%) report having a mature model for governance of autonomous agents. The threat increases in complex environments with interconnected agents, with security holes risking the entire infrastructure; driving the need for a security and compliance solution that encompasses the entire agentic ecosystem.
Trent AI’s layered, unified offering reportedly secures agents throughout the entire lifecycle. Every cycle makes Trent AI’s agents smarter about the systems they protect. As the feedback loop tightens, judgement improves and mitigations become more accurate, giving development and security teams a faster, more reliable path to safe deployment.
According to the company, agents in the loop work to:
- Scan: These threat scanning agents observe code, infrastructure, dependencies, agents and runtime behavior, learning where risk lives in the ecosystem, laying the framework for security by design.
- Judge: These analysis agents determine and classify signal vs. noise, assess business impact and prioritise based on real risk rather than static rules. This judgement becomes more predictive over time.
- Mitigate: These remediation agents patch vulnerabilities, open pull requests, adjust configurations and validate that fixes work for a healthier code base.
- Evaluate: These security posture agents track trends, quantify risk over time, benchmark against standards and identify systemic weaknesses for a compounding framework that becomes increasingly more accurate at conducting risk forecasts.
Companies with early access to the Trent AI agentic solution, including Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic , have reported visibility into their security posture, a security audit report, fast response time identifying and presenting vulnerabilities, a clean and well laid out remediation scope and adaptive feedback.
“Agentic systems are quickly becoming part of the software stack, but the security infrastructure around them is still early,” says Avinash Bhat, Director at AWS. “Trent is building the foundations teams will need, to operate these systems safely at scale. I’m excited to support Eno and the team as they tackle this emerging challenge.”
Read the orginal article: https://www.eu-startups.com/2026/04/with-74-of-businesses-planning-agentic-ai-deployment-trent-ai-secures-e11-million-in-seed-funding/
