Agentic AI Creates a New Class of Risk

As enterprises rush to deploy autonomous AI agents into production, they face a new class of security and reliability risk: agents can drift from intended behavior, be manipulated by adversarial inputs, or take unsafe actions faster than any human could react. This is especially acute in regulated sectors like legal, healthcare, and fintech, where compliance and data protection are non-negotiable. Traditional monitoring tools weren't built for the unpredictable, goal-seeking behavior of agentic AI.

What They're Building

Overmind builds a supervision layer purpose-built for agentic AI. The platform gives teams complete visibility into agent behavior, detecting and preventing deviations ("drift") in real time before issues escalate. Using "pattern of life" analysis, it turns real-world agent behavior into continuous improvement: through reinforcement learning, Overmind not only keeps agents safe but improves their accuracy and performance over time, so teams can ship secure, highly specialized agents.

Growth

Founded in 2025 and emerging from stealth in February 2026, Overmind raised a £2M (~$2.7M) seed round led by specialist cybersecurity investor Osney Capital, with participation from Antler, 14Peaks, Portfolio Ventures, and Endurance Ventures. The funding supports technical team growth, product development, and go-to-market in legal, healthcare, and fintech.