According to a recent LinkedIn post from Geordie, the company is drawing attention to what it describes as “unknown-unknown” risks emerging from the use of AI agents within enterprises. The post suggests customers are identifying such risks within about 10 minutes of a proof-of-concept going live, spanning both commercial coding agents and homegrown, authorized or unauthorized tools.
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The post indicates that many security teams are encountering similar challenges because existing security tools were designed for different threat models. It further notes that risk exposure may accumulate subtly across sequences of decisions that appear acceptable in isolation, implying a need for more sophisticated governance of autonomous AI behavior.
As shared in the post, Geordie has produced a practical guide aimed at security and governance teams, outlining steps, pitfalls, and a maturity model that covers prompts, guardrails, and agent behavior. The emphasis on a structured framework for governing AI agents may position Geordie as a specialist in AI risk management at a time when enterprises are rapidly deploying agentic systems.
For investors, the focus on uncovering hidden risks and providing governance tooling points to a growing demand segment within cybersecurity and AI infrastructure. If Geordie’s approach gains traction, this could translate into increased enterprise adoption and potential recurring revenue opportunities, while also differentiating the company in a competitive and evolving AI security market.