Trent AI Emerges From Stealth With $13 Million in Funding
The startup has created a layered security solution aiming to secure AI agents throughout their entire lifecycle.

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UK cybersecurity startup Trent AI today announced emerging from stealth mode with $13 million in seed funding.
The investment round was led by LocalGlobe and Cambridge Innovation Capital, with additional support from several angel investors.
Founded in 2025 by former AWS engineering team leaders, London-based Trent AI has built a layered platform meant to secure AI agents throughout their entire lifecycle.
The multi-agent security solution secures agents as they evolve, learning more about the systems it seeks to protect with each cycle, improving judgment and delivering more accurate mitigations.
The startup says its solution is designed for developers and organizations building AI agents and autonomous software systems, helping them address weaknesses that the agents and autonomous workflows introduce.
Trent AI’s platform uses agents that work together continuously to understand the environment and secure it, embedding the security layer into development workflows.
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The solution continuously scans models to observe their code, dependencies, infrastructure, and runtime behavior, to analyze risks and business impact, patch vulnerabilities, modify configurations, and validate fixes, and to evaluate the security posture against standards.
The company will invest the new funds in the continuous development of AI agents. It will also expand its engineering team and go-to-market efforts.
“Organizations 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,” said Trent AI co-founder and CEO Eno Thereska.
“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,” Thereska added.
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