AI agents are no longer confined to research labs—they’re now writing code, managing infrastructure, and approving transactions in real-world production. The appeal is speed and efficiency. The risk? Most organizations still use outdated, human-oriented permission systems that can’t safely control autonomous behavior.
As AI transforms cybersecurity and enterprise operations, every leap in capability brings new vulnerabilities. Agentic AI proves this clearly—machines act faster than people, but they also fail faster.
Traditional access controls were built for human rhythms. Users log in, complete tasks, and log off. But AI agents operate nonstop across multiple systems. That’s why Graham Neray, co-founder and CEO of Oso Security, calls authorization “the most important unsolved problem in software.” He adds, “Every company that builds software ends up reinventing authorization from scratch—and most do it badly. Now we’re layering AI on top of that foundation.”
The problem isn’t intent—it’s infrastructure. Most companies still manage permissions through static roles and hard-coded logic, which barely worked for humans. An AI agent can make thousands of changes per second, and one misstep can cause massive damage before anyone intervenes.
This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents
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