According to a recent LinkedIn post from SandboxAQ, the company is drawing attention to an opinion piece by its Head of Cybersecurity, Marc Manzano, on evolving AI risks. The post highlights a shift from “shadow AI,” focused on unmonitored data use, to “shadow operations,” where autonomous agents make and execute operational decisions without sufficient oversight.
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The LinkedIn post suggests that many organizations have already deployed AI agents across business units via managed services, embedded workflows, and custom-built tools. However, it indicates that security leaders often lack clear visibility into where these agents operate and what systems or data they can access.
For investors, this emphasis on a “visibility gap” in AI operations points to a growing market need for security and governance solutions around autonomous agents. SandboxAQ’s focus on this issue may signal product development or positioning aimed at addressing AI observability and control, which could enhance its relevance with enterprise security buyers.
If the company can translate this thought leadership into concrete offerings that help organizations map, monitor, and govern AI agents, it could tap into expanding cybersecurity and AI risk-management budgets. The narrative also reinforces the broader industry trend that AI security and compliance will likely become a priority spend area as enterprises scale AI across critical operations.