Change Management for Enterprise AI Agent Rollouts
Establish governance and oversight infrastructure before rollout, not after the first incident.
Establish governance and oversight infrastructure before rollout, not after the first incident.
OAuth's human-centered design breaks when AI agents act continuously without pausing for approval.
Organizations need playbooks built for AI agent failures, not traditional security incidents.
Most companies deployed agents before building the governance systems to control them.
Enterprise security checklists designed for traditional software miss the novel risks agents pose.
Most enterprises deploying AI agents lack the governance to control them.
Agents bypass human hesitation, making real-time action blocking essential.
Agents need tighter access controls than humans, and just-in-time provisioning is how.
AI agents need their own identity rules, not borrowed human ones.
Stateless agents scale effortlessly, but stateful ones remember what actually happened.
LLMs call external functions mid-inference to reason and act in loops.
Prompt injection attacks succeed more often against agents than containers can stop them.