What Trent AI does
Trent AI is an agentic AI security platform that acts as an automated security engineer, mapping an organisation's inventory, analysing threats and vulnerabilities, and mapping compliance across codebases and infrastructure. It reads code, documentation and security reports to build a unified context layer, then reasons over that data to triage risk and generate remediation recommendations, targeting both AI-native startups without dedicated security staff and enterprise security teams securing autonomous AI agents. It was founded in 2025 by Eno Thereska (former Distinguished Engineer at Alcion, AWS and Confluent), Neil Lawrence (DeepMind Professor of Machine Learning at Cambridge, former Director of ML at Amazon) and Zhenwen Dai (former ML Scientist at AWS), and is based in London.
Trent AI is a security tool on Falcoscan. Agentic AI security platform that finds and fixes risk in autonomous systems. Falcoscan rates Trent AI with an Opportunity score of 75/100, a Saturation score of 33/100, and a Wrapper-risk score of 9/100. Market signal: rising. Trent AI is founded in 2025, currently at Seed stage. Pricing: Paid.