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SailPoint Outlines How to Govern AI Agents Left Behind by Departed Developers

July 1, 2026 at 12:43 EDT

AI Agents
Security
Sales & Business

SailPoint has outlined methods to detect and manage "orphaned AI agents" that keep running after their developer creators leave, along with the excessive access privileges those agents retain. Security news outlet The Hacker News, around June 18, 2026, announced a co-hosted webinar titled "Orphaned Agents & Standing Privileges: The Hidden Access Risks of Internal AI," drawing attention to the access risks posed by internally built AI agents.

Feb 20, 2026 · SailPoint

Governing the AI Agents Nobody Owns

SailPoint's "Agent Identity Security" discovers AI agents built inside enterprises, assigns them human owners, and revokes access — tackling the tokens and standing privileges that keep running long after their creators are gone.

governance pillars, with identity at the center

platform integrations, still expanding as of Mar 2026

NHI

framed as a non-human identity problem

The core risk

When the developer leaves, the agent stays

Developer builds agent

→

Creator moves on

→

Orphaned agent keeps its privileges

Issued tokens and the agent itself keep running with standing access and no current owner — a source of "shadow AI," compliance violations, and credential leakage.

Governance framework

Five pillars of AI agent control

Visibility and risk analysis

Ownership and user access management

Governance and lifecycle management

Real-time authorization

Trust and protection

The pitch

A single, unified control plane to aggregate and manage AI agents — praised in developer demos across AWS and Google for ease of management.

The caveat

Largely vendor-led so far, with few concrete end-user cases. Non-deterministic agent behavior and service-account tool use remain hard to govern.

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