Agents expose the limitations of trust
Autonomous agents are breaking the trust model enterprises built their security on. Here's what changes.
Why it matters
As agents gain autonomy to retrieve data, invoke tools, and collaborate without human approval at each step, traditional identity and access controls designed for human decision-making become insufficient. Enterprise security and governance teams face a new operational problem: how to verify what an agent did, who authorized it, and whether it stayed within bounds.
The key facts
8 to knowAgents operate without human approval at each step—breaking the assumption that humans remain ultimate decision-makers
Agent autonomy creates new trust boundaries: information retrieval, tool invocation, inter-agent collaboration all happen outside traditional identity chains
Cloud provider and software vendor trust models assume human oversight; agents remove that assumption
Article frames a governance and security problem, not a technology breakthrough
Autonomous systems now retrieve information, make decisions, and invoke external tools without human approval in real-time
Traditional trust chains (cloud providers, vendors, identity systems, admins) assume humans remain ultimate decision-makers
Agents can collaborate with other agents, expanding decision-making beyond human visibility
Enterprise governance models built on human oversight are inadequate for autonomous workflows
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Enterprise computing has long depended on chains of trust. Organizations trust their cloud providers, software vendors, identity systems and administrators to operate as designed. That model has worked because humans have remained the ultimate decision-makers. Agentic artificial intelligence…