Trent AI
Category: AI in Cybersecurity
An agentic AI security platform designed to secure autonomous AI agents and LLM workflows through layered, context-aware protection and adaptive threat detection. Trent AI was founded in 2025. The company is led by Eno Thereska. Based in London, United Kingdom. Team size: 10-50. Total funding raised: $13.0M. Latest round: Seed. Key investors include ["LocalGlobe","Cambridge Innovation Capital","Joaquin Quiñonero Candela","Tony Jebara"].
- Founded
- 2025
- Headquarters
- London, United Kingdom
- Team size
- 10-50
- Total funding
- $13.0M
Value proposition
Enables enterprises to deploy autonomous AI agents safely by providing immediate visibility into security posture, automated audits, and real-time remediation of vulnerabilities in non-deterministic AI systems.
Products and solutions
["Agentic Security Guardrails","Continuous AI Threat Detection & Monitoring","Automated AI Security Audit Reports","Context-Aware Remediation Engine","Adaptive Feedback & Governance Dashboard"]
Unique value
Focuses specifically on the 'agentic era,' addressing the unique security risks of autonomous AI agents that perform multi-step actions, rather than just securing static LLM chat interfaces.
Target customer
Enterprise development teams, Security Operations Centers (SOCs), and organizations deploying autonomous AI agents at scale.
Industries served
["Cybersecurity","Enterprise Software","Financial Services","Cloud Infrastructure","Healthcare Technology"]
Technology advantage
Led by a world-class team combining systems engineering expertise (ex-AWS S3 and Alcion) with top-tier machine learning research (University of Cambridge/DeepMind) to build a 'security-by-design' framework for autonomous systems.
How they differentiate
Focuses specifically on 'Agentic AI' security, protecting autonomous agents that perform multi-step actions rather than just securing static LLM chat interfaces. It utilizes a 'security-by-design' framework for non-deterministic systems.
Main competitors
["Lasso Security","Protect AI","HiddenLayer"]
Key partnerships
["OWASP (Startup Member)","University of Cambridge (Research & Academic collaboration)","LocalGlobe and Cambridge Innovation Capital (Lead Investors)","Design partners from major tech firms (OpenAI, Spotify, AWS leaders)"]
Notable customers
["Design partners from major tech firms (OpenAI, Spotify, AWS)"]
Major milestones
["Raised £9.8M ($13M) Seed round in April 2026","Emerged from stealth with a founding team from AWS S3, DeepMind, and Microsoft Research","Established research collaboration with the University of Cambridge"]
Growth metrics
Emerged from stealth in April 2026 with a team of 10-50 employees and backing from leaders at OpenAI, Spotify, and AWS.
Market positioning
Specialized cybersecurity challenger in the emerging Agentic AI security niche.
Geographic focus
United Kingdom and North America
Patents and IP
No registered patents disclosed as of latest update; utilizes proprietary layered security models and adaptive feedback loops.
About Eno Thereska
Eno Thereska is a systems and security expert with a PhD from Carnegie Mellon University. He was previously a Distinguished Engineer at Alcion (acquired by Veeam), a Principal Engineer at Amazon Web Services (AWS) where he worked on S3 architecture, a Principal Engineer at Confluent, and a Researcher at Microsoft Research.
Official website: https://trent.ai/