Source: SiliconANGLE
As companies deploy autonomous AI agents to handle mission-critical tasks—from coding to claims processing—they're discovering that traditional access controls and governance frameworks weren't designed for systems that operate independently and generate decisions at scale. The tension centers on who controls what data agents can access and how to audit their decisions without slowing operations. This is forcing enterprises to rebuild their approach to permissions and compliance, which explains why vendors and IT leaders are competing over architectural standards before the market settles.