London-based startup, Trent AI, which develops software to assess and manage the security of AI agents and autonomous workflows, has emerged from stealth with a $13 million seed round.
- Launched in 2025 by Eno Thereska, Neil Lawrence, and Zhenwen Dai, Trent AI develops software to assess and manage the security of AI agents and autonomous workflows.
- The platform analyzes system architecture, agent behavior, and data flows to detect risks such as prompt injection, misuse of tools, unintended actions, data exfiltration, and privilege escalation.
- It generates prioritized remediation plans and integrates with development workflows to apply and track fixes. The system continuously monitors changes in agents and connected tools, updating its security assessments as the environment evolves, providing an ongoing view of potential vulnerabilities rather than point-in-time reports.
Details of the deal
- The firm was led by LocalGlobe and Cambridge Innovation Capital, with support from operators and executives across OpenAI, Spotify, Databricks, Amazon Web Services, and Stripe.
- The firm plans to use the fresh capital to advance its mission of rebuilding security for the agentic world by developing systems that understand and assess risks at the design and architecture level, rather than relying on traditional code scanning.
- It will focus on improving its AI-driven platform to continuously learn from evolving systems, support developers without slowing them down, and embed security directly into how software and autonomous agents are created and operate.
"We’re lucky to have investors who were operators themselves and believe in building this the right way. The core idea is simple: security shouldn’t slow builders down, it shouldn’t rely on noise, and it shouldn’t start after the system is already built. We’re excited to build that future," explains Eno Thereska, Founder and CEO of Trent AI.
