Agents expose the limitations of trust
Source: SiliconANGLE (opens in a new tab) · Renee Davis
Intel Summary
SiliconANGLE reports on how agentic AI challenges conventional enterprise trust architectures. While traditional enterprise computing depends on chains of trust anchored by human decision-makers, autonomous AI systems independently retrieve data, make decisions, invoke external tools, and collaborate with other agents, disrupting established trust assumptions.
Why It Matters
Security and identity models built around human authorization must adapt to autonomous agents executing multi-step workflows. Organizations deploying agentic systems will need new controls for delegation, tool execution, and inter-agent collaboration as traditional access boundaries become insufficient.
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