Agents Expose the Limitations of Trust
SiliconANGLE, Friday, September 25th, 2026
SiliconANGLE argues AI agents break traditional trust models, pushing enterprises toward 'verifiable computing' with auditable evidence trails.
SiliconANGLE argues that as autonomous AI agents make consequential decisions across system and organizational boundaries, simply trusting vendors or infrastructure is no longer enough - enterprises need 'verifiable computing' with independently auditable evidence of agent behavior.
Legacy security tools can't reconstruct full decision chains once agents span multiple systems. Practical steps include classifying high-stakes actions like payments or code changes for enhanced auditing, building traceable identity from request through delegation to outcome, using cryptographic signatures and timestamps to prove record integrity, and maintaining cross-system audit trails so accountability doesn't fall through the cracks between platforms.