Trent AI has emerged from stealth with a $13 million seed funding round to develop a multi-agent security platform designed for autonomous AI systems, addressing what it describes as a growing gap between rapid agent deployment and enterprise security readiness. The round was led by LocalGlobe and Cambridge Innovation Capital, with participation from individual investors affiliated with major technology organizations, including OpenAI, AWS, Spotify, and Databricks.
The company is positioning itself as a foundational security layer for what it calls the “agentic age,” where AI agents operate autonomously across software environments.
Founded in 2025, Trent AI builds AI-native security agents that continuously scan, assess, and mitigate risks across code, infrastructure, and runtime environments. Its system operates through a coordinated set of agents that monitor vulnerabilities, classify threats, implement fixes, and evaluate overall security posture over time.
The company’s platform is structured around four core functions. Scanning agents continuously observe systems to identify risks across code and dependencies. Judgment agents analyze signals and prioritize threats based on real-world impact rather than static rules. Mitigation agents automatically remediate vulnerabilities by performing actions such as patching code or adjusting configurations. Evaluation agents track long-term trends, benchmark security performance, and identify systemic weaknesses.
Trent AI says its approach is designed to integrate directly into development workflows, enabling teams to build and deploy AI agents quickly without sacrificing security. The system improves over time through feedback loops, allowing its agents to refine the accuracy of risk detection and mitigation as they learn from each interaction.
The launch comes as enterprises accelerate the adoption of autonomous AI systems. Industry data cited in the announcement indicates that a majority of companies plan to deploy agentic AI within the next two years, while only a small portion have established mature governance frameworks for such systems. This imbalance has created a new category of risk, particularly in environments where multiple agents interact across complex infrastructure.
Early design partners, including Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic, have already begun using the platform, reporting benefits such as faster vulnerability detection, improved visibility into security posture, and more efficient remediation workflows.
The founding team brings experience from companies including AWS, Spotify, Confluent, and Alcion. The company is also affiliated with industry and academic organizations such as OWASP and Carnegie Mellon University’s CyLab Venture Network, reflecting its focus on both practical deployment and research-driven security development.
The newly raised capital will be used to expand the engineering team, further develop Trent AI’s security agents, and grow its customer and partner base as enterprises increasingly look for solutions tailored to autonomous AI systems.
KEY QUOTES
“Organizations 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. 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.”
Eno Thereska, Co-founder and CEO, Trent AI
“Agent adoption is outpacing enterprise security readiness. As autonomous workflows make decisions across critical systems, a new layer of infrastructure is needed to govern, observe, and enforce safe behavior. We believe Trent AI is well placed to define this category.”
Ian Lane, Partner, Cambridge Innovation Capital
“The rise of agents goes hand in hand with the rise of new security threats. Now is the right time to build the long-term foundations of security for agentic systems. Trent AI is uniquely positioned to do this, combining deep academic expertise with real-world experience building large-scale systems and working closely with design partners deploying agents today.”
Saul Klein, Co-founder and Executive Chairman, Phoenix Court / LocalGlobe
“Agentic systems are quickly becoming part of the software stack, but the security infrastructure around them is still early. Trent is building the foundations teams will need, to operate these systems safely at scale. I’m excited to support Eno and the team as they tackle this emerging challenge.”
Avinash Bhat, Director, AWS
“AI models have led to an exponential growth in code being generated by companies big and small. That code brings along an exponential growth in security risks, vulnerabilities and threats… and human security teams just can’t keep up. We desperately need specialized AI models that can analyze this flood of code, produce security assessments and provide mitigations. Trent AI is providing just that: securing your code at all stages, all the way from the initial design stage to large code repositories.”
Tony Jebara, Former VP Engineering and Head of AI/ML, Spotify
