Trent AI, an agentic security company developing continuous protection for autonomous systems, announced its launch from stealth alongside a $13 million seed round led by LocalGlobe and Cambridge Innovation Capital. Participation included investors and operators from OpenAI, Spotify, Databricks, AWS, and other technology leaders. The platform introduces a multi-agent security solution designed to protect AI agents as systems evolve.
Security for the Agentic Era
Growing adoption of autonomous agents has outpaced traditional security frameworks, particularly in complex environments with interconnected workflows. Trent AI addresses this gap with a layered approach that secures agents across the entire lifecycle, focusing on continuous monitoring, evaluation, and remediation.
“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,” said Eno Thereska, Co-founder and CEO of Trent AI. “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.”
Unified Multi-Agent Security Architecture
The platform uses coordinated agents to secure development and runtime environments. Scanning agents monitor infrastructure and dependencies, analysis agents prioritize risks, remediation agents apply fixes, and evaluation agents track posture and forecast vulnerabilities. The feedback loop improves accuracy over time, enabling faster and safer deployments.
Early design partners including Canopy, Commscentre, ML@Cam, Qbeast, and Weblogic report improved visibility, faster vulnerability detection, and structured remediation workflows.
Trent AI also participates in the broader security ecosystem, including partnerships with OWASP, Carnegie Mellon University’s CyLab Venture Network, and contributions to open-source security initiatives.