AI agent security is a lifecycle — not a gatekeeper

AI agent security should be treated as an end-to-end lifecycle discipline rather than a one-time approval checkpoint, meaning controls must span design, development, deployment, monitoring, and retirement. For CIOs and technology leaders, the business impact is faster and safer AI adoption: IT organizations need repeatable governance, identity and access controls, telemetry, and incident response processes that can scale as agents become more autonomous and embedded in core workflows.