AI agents operate autonomously by selecting tools, accessing data, and taking actions without continuous human input, which creates challenges in coherence, coordination, and governance when deployed at scale. Jeromie Jackson emphasizes that enterprises must apply governance frameworks similar to employee oversight—defining explicit access boundaries, enforcing technical controls, verifying outputs, and maintaining human-in-the-loop checkpoints—to manage operational risks and ensure accountability. Without such structured governance, organizations risk unintended consequences from agents acting beyond their intended scope, underscoring that trust in AI agents must be earned through rigorous oversight and not assumed.
https://www.cio.com/article/4238563/building-the-agent-and-securing-it.html
