Results in AI strategy changes
Justin Greis, CEO of consulting firm Acceligence, said he also expects this development to guide to major AI strategy changes.
“I can easily imagine governance platforms consuming those signals alongside prompts, outputs, identity information, policy decisions, and power activity,” he said. “A future AI control plane could constantly evaluate whether an agent recognized an attempted prompt injection, understood that sensitive information was involved, detected conflicting objectives, or showed evidence that it was reasoning toward an unsafe motion before that motion was ever executed. Those signals develop into inputs into policy enforcement, human escalation, audit logging, and trust scoring across enterprise AI environments.”
This has practical implications for CIOs today, he identified, “since it changes how they evaluate AI vendors. A 12 months ago, enterprises primarily asked about model accuracy, latency, security, and value. Increasingly, procurement teams may also ask how much operational visibility vendors provide into agent behavior, reasoning quality, policy compliance, safety monitoring, and auditability.”