Agentic security startup Trent AI has secured a £9.7m seed round to boost its layered security solution.
Trent AI is designed for engineering leaders, security teams and companies building AI agents and autonomous software systems, helping teams ship agentic systems quickly while maintaining strong security across code, infrastructure and runtime environments.
The startup says 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.
The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from OpenAI, Spotify, Databricks, AWS and others.
“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, cofounder 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.”
Prominent angel investors involved in the seed round include Joaquin Quiñonero Candela, member of technical staff at OpenAI; Avinash Bhat, former head of stripe data infrastructure and current director at AWS; Ippokratis Pandis, engineer at Databricks; and Tony Jebara, former VP engineering at Spotify and head of AI/ML.
According to Deloitte’s 2026 State of AI report, 74% of companies plan to deploy agentic AI within two years. Despite this, only 21% report having a mature model for the governance of autonomous agents.
