According to a recent LinkedIn post from Geordie, the company is drawing attention to what it describes as “unknown-unknown” risks emerging from AI agents within enterprise environments. The post indicates that customers are identifying these risks within about 10 minutes of a proof-of-concept going live, spanning both coding agents and homegrown tools, whether authorized or not.
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The post suggests that current security tools may be misaligned with this new class of AI-driven risk, which is characterized as accumulating over sequences of individually acceptable decisions rather than a single malicious event. Geordie links to a whitepaper that outlines a practical framework for governing AI agents, including a maturity model covering prompts, guardrails and behavior.
For investors, this focus implies that Geordie is positioning itself around governance and risk management for enterprise AI agents, a segment that could see rising demand as adoption accelerates and regulatory scrutiny increases. If the company’s methodology resonates with security teams that share these concerns, it may support customer acquisition, deepen enterprise engagements and strengthen Geordie’s role within the broader AI security and governance ecosystem.