Where is Trent AI headquartered?

Trent AI is headquartered in London, United Kingdom. The company has a team of 10-50 people.

What does Trent AI do?

Trent AI operates in the AI in Cybersecurity sector. An agentic AI security platform designed to secure autonomous AI agents and LLM workflows through layered, context-aware protection and adaptive threat detection. 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.

When was Trent AI founded?

Trent AI was founded in 2025. It is based in London, United Kingdom.

Who is the CEO of Trent AI?

Eno Thereska is the CEO of Trent AI. The company was founded in 2025.

Where is Trent AI located?

Trent AI is headquartered in London, United Kingdom.

What funding stage is Trent AI at?

Trent AI is currently at the Seed stage.

How many employees does Trent AI have?

Trent AI has approximately 10-50 employees.

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, Avinash Bhat, Ippokratis Pandis.

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, AI Security Maturity Model (ASMM), Organization Workspaces with RBAC

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), Carnegie Mellon CyLab Venture Network (Startup Partner), LocalGlobe and Cambridge Innovation Capital (Lead Investors)

Notable customers

Canopy, Commscentre, ML@Cam, Qbeast, Weblogic

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, Launched AI Security Maturity Model (ASMM) in May 2026, Named Agentic AI Security Platform Leader in The Hacker News Cybersecurity Stars Awards 2026 (June 2026), Launched Organization Workspaces with RBAC (August 2026)

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.

Latest news about Trent AI

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Official website: https://trent.ai/