The Architecture That Keeps AI From Authorizing Itself
Design an AI agent authorization architecture that separates proposals, policy, execution, and evidence, including indirect paths that can bypass approval.
agent identity
The Agent Control Plane Is the Real Prize in the AI War
Build an agent control plane strategy that separates provider capabilities from business authority, with clear ownership, approval, recovery and exit tests.
Retiring Enterprise AI Safely: Decommissioning Models, Agents, Data, and Endpoints
Retire an AI service across its endpoints, identities, data, delegated work, and recovery automation. Verify that it cannot keep acting or silently return through an overlooked deployment path.
Enterprise AI Incident Response: A Runbook for Containing Compromised Agents
Contain compromised AI agents across identity, tools, data, memory, and downstream systems. Reconcile accepted actions, preserve evidence, and use explicit gates for a controlled return to service.
The Agent Sprawl Crisis: How CIOs Should Register, Consolidate, and Retire Digital Workers
TL;DR Sanctioned AI agents can create the same portfolio problems as shadow technology: duplicated capabilities, conflicting actions, unmanaged dependencies, excessive token spend, orphaned identities, and operational debt. The answer is not to stop business units from building. It is to require every agent to enter a governed lifecycle that begins before deployment and ends with … Explore: The Agent Sprawl Crisis: How CIOs Should Register,…