As businesses rapidly adopt autonomous AI systems capable of making decisions and executing tasks independently, a new category of risk is quietly taking shape. Trent AI has emerged from stealth to address this challenge, raising $13 million in seed funding to build security infrastructure specifically designed for the age of AI agents.
Funding Backed by Top Investors
The London based startup’s seed round was led by LocalGlobe and Cambridge Innovation Capital. The round also saw participation from senior executives affiliated with OpenAI, Spotify, Databricks, and Amazon Web Services.
This strong backing reflects growing investor confidence in the need for specialised security solutions as AI systems become more autonomous and complex.
A New Security Challenge
The rise of AI agents and autonomous workflows is transforming how organisations operate. These systems can independently perform tasks, make decisions, and interact with other software systems. However, this shift also introduces new vulnerabilities that traditional cybersecurity tools are not equipped to handle.
According to industry research, a large majority of companies plan to deploy agentic AI in the near future, yet only a small fraction have robust governance frameworks in place. This gap creates significant exposure to risks, including unintended actions, data leaks, and system level vulnerabilities.
Trent AI is positioning itself as a first mover in addressing these emerging threats.
Built by Experts in AI and Engineering
Founded in 2025 by Eno Thereska, Neil Lawrence, and Zhenwen Dai, the company brings together expertise from both industry and academia.
The founding team includes former engineering leaders from major technology companies, combining deep knowledge of cloud infrastructure, AI systems, and large scale software development. Their experience has shaped Trent AI’s approach to building security frameworks tailored specifically for autonomous systems.
Multi Agent Security for AI Systems
At the core of Trent AI’s offering is a multi agent security platform designed to protect AI agents as they evolve. Instead of relying on static security rules, the platform uses specialised AI security agents that continuously monitor environments.
These agents are capable of identifying risks, detecting vulnerabilities, and taking action to mitigate potential threats in real time. They also provide ongoing evaluation of an organisation’s overall security posture, ensuring that protection adapts alongside the systems it safeguards.
This dynamic approach is critical in environments where AI systems are constantly learning and changing.
Early Adoption and Real World Use
Trent AI has already begun working with early partners, including Canopy and Weblogic. These organisations have reported immediate improvements in visibility and risk assessment capabilities.
Key benefits include rapid identification of vulnerabilities, clear audit reports, and actionable remediation plans. The platform also provides adaptive feedback, helping teams continuously improve their security posture as they deploy and scale AI driven systems.
Scaling Security for the AI Era
The newly raised capital will be used to further develop Trent AI’s technology, expand its engineering team, and grow its customer base. The company is also focused on building out its network of design partners to refine its platform in real world environments.
As AI adoption accelerates, the need for purpose built security solutions is becoming increasingly urgent. Trent AI aims to establish itself as a foundational layer in this evolving ecosystem.
By addressing security at the level of autonomous agents, the company is not just responding to current challenges but preparing organisations for a future where AI systems operate with greater independence.
In a world where software can act on its own, ensuring that these systems remain safe, reliable, and controllable may become one of the most critical challenges of the next decade, and Trent AI is positioning itself at the center of that transformation.
