Detect Shadow AI and Unauthorized AI Agents

Though agentic AI use is rising rapidly, adoption has prioritized productivity and use case discovery over security. Now, CISOs face growing concerns that agents will access and share unauthorized data, exhibit out-of-scope behavior, or go completely undetected in the organization’s environment. This research helps security leaders retake control by scoping which types of shadow AI and unsanctioned agents are worth looking for, so detection and containment resources can be invested where they matter most.

AI agents may remain invisible to standard security tooling, yet not all unauthorized AI agents may be dangerous. This raises uncertainty about which types of agents present meaningful risk in your environment – and how much time, skills, and tooling to invest in their detection.

1. Prioritize shadow AI detection efforts based on risk.

The problem at most organizations isn’t shadow AI; it’s uncertainty. The shadow AI and unauthorized agents proliferating in enterprise environments vary in terms of potential impact, likelihood to cause harm, and effort required to find them. Instead of treating them all the same, scope which types are worth focusing detection efforts on and make an informed decision when something is found.

2. Look beyond legitimate credentials.

Detection isn’t always technically impossible, but it can be difficult because agents may use legitimate credentials. Taking the right approach entails looking for machine-like identities that are performing delegated work without registration.

3. Avoid undocumented exceptions.

Every defer and accept decision must be documented. If you defer detection of a type of AI agent, accept the risk of not detecting it, or determine the agent is already covered by policy, be sure to record the reason and a trigger for revisiting.

Use this step-by-step research to reduce the risk of incidents from unauthorized agents or shadow AI tools.

Our framework provides CISOs with a practical methodology to determine which AI agents represent meaningful risk, assess how much effort is worth devoting to their detection, and create a response plan to follow. Use this step-by-step approach to:

Scope exposure. Understand the visibility gap and complete exposure scoping assessment.
Plan detection. Assess detection feasibility, select detection approach per type, and identify tooling gaps.
Triage and respond. Assess detected instances, assign disposition, and follow response path.

Detect Shadow AI and Unauthorized AI Agents Research & Tools

1. Detect Shadow AI and Unauthorized AI Agents Storyboard – A practical framework that outlines how to retake control of security by scoping the risk of shadow AI in your environment and then planning how to detect it.

Use this framework to:

Scope – Identify which types of shadow AI are plausible and have the most impact in your environment.
Detect – Determine the level of detection you will invest in to identify these agents.
Triage – Direct effort where it is warranted and document where risk has been accepted.

2. Detect Shadow AI and Unauthorized AI Agents Planning Tool – An Excel tool that directly supports you in completing the three key phases of the framework’s methodology: 1) scoping, 2) detection planning, and 3) triage and response.

This tool enables you to:

Scope which categories of shadow AI and unauthorized agents represent meaningful risk in your environment.
Evaluate detection feasibility.
Produce a documented detection, triage, and response plan.

3. Shadow AI and Unauthorized AI Agent Response Protocol – A Word document that establishes the steps to take once a potential unauthorized AI agent has been identified in your environment.

This document:

Identifies which path to follow based on the disposition assigned: contain, throttle, investigate further, accept as policy-approved, or route to governance.
Helps CISOs set thresholds, approve containment decisions, and sign off on governance outcomes.
Helps security analysts carry out the appropriate steps and complete the record fields.

4. Shadow AI and Unauthorized AI Agent Response Workflow Diagram – A visual representation of the workflow for security teams to follow when responding to detected shadow AI and unauthorized AI agents.

Use this tool:

As an example to build the same type of customized workflow diagram for your own security team.
To formalize, document, and validate the post-detection response steps that your security team should take.
As an at-a-glance chart for quick reference of workflow processes to follow if shadow AI or unsanctioned AI agents have been detected.

Scope your exposure, direct detection effort where it matters, and govern what you find.

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