According to a recent LinkedIn post from Token Security, the company is drawing attention to what it describes as a structural gap in traditional access review practices. The post points to the rise of machine identities, APIs, service accounts, and AI agents as a growing share of access in modern environments, contrasting this with human-centric governance models.
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The LinkedIn post highlights arguments from a blog by Gavin Hunter, which suggests that legacy access reviews assume stable identities, clear ownership, and predictable behavior. By contrast, machine and AI-driven identities are portrayed as ephemeral, autonomous, and continuously changing, potentially leaving significant access pathways outside periodic manual review.
For investors, the post suggests that Token Security is positioning its strategy around identity security for non-human and AI-based actors, an area likely to expand as enterprises automate more workflows. If the company can offer differentiated capabilities in governing these identities at scale, it could tap into budget shifts within cybersecurity, particularly in IAM and cloud security segments.
The emphasis on AI agents and “agentic AI” also points to a potential focus on higher-value, emerging use cases, which may support premium pricing or specialized offerings. However, the post does not provide details on specific products, customers, revenue impact, or timelines, so any financial implications remain speculative and depend on execution in a competitive cybersecurity landscape.