"Trent AI is targeting a structural gap that has widened as enterprises deploy autonomous AI agents faster than their security frameworks can adapt. The company's product is a multi-agent security platform built specifically for agentic environments, rather than a conventional static-rules security tool retrofitted for AI."
"It works through four types of specialised agents running continuously in parallel: Scan agents that observe code, infrastructure, dependencies, and runtime behaviour to locate risk. Judge agents that classify and prioritise signals based on real business impact rather than predefined rules."
"Mitigate agents that patch vulnerabilities and validate fixes automatically. And evaluate agents that track risk trends over time and benchmark against standards. The feedback loop between these layers is designed to improve the accuracy of each subsequent cycle."
Trent AI, a London-based startup, raised $13 million in a seed round led by LocalGlobe and Cambridge Innovation Capital. Founded in 2025, it publicly launched on 7 April 2026. The company targets security gaps as enterprises adopt autonomous AI agents faster than their security frameworks can adapt. Its multi-agent security platform features four specialized agents: Scan agents for risk observation, Judge agents for signal classification, Mitigate agents for vulnerability patching, and Evaluate agents for risk trend tracking. This layered approach enhances accuracy through continuous feedback loops.
Read at TNW | Startups-Technology
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