How to Identify AI Accounts That Shouldn’t Exist
- Martin Snyder
- 5 days ago
- 4 min read
AI assistants, copilots, and automation tools often operate as identities inside SaaS. Here’s how to identify AI-driven accounts and integrations that shouldn’t exist.
AI Accounts Are Quiet — Until They Aren’t
AI in SaaS rarely appears as a labeled “AI account.”
Instead, it shows up as:
An OAuth-connected application
A service account with API access
A bot user in collaboration tools
An enterprise app with delegated permissions
An automation identity acting on behalf of users
These AI-driven identities can:
Access files
Read inboxes
Analyze CRM records
Sync cloud data
Trigger actions across platforms
If you are concerned about AI in your organization, the first step is understanding which SaaS platforms are in use — because almost every modern SaaS service now leverages AI.
If SaaS discovery is incomplete, AI identity discovery is impossible.
The Discovery Gap Is Real
According to Waldo Security’s 2025 SaaS & Cloud Discovery Report:
97% of SaaS applications are unknown to IT
100% of organizations have unauthorized cloud accounts
Less than 1% of SaaS accounts enforce MFA
Full findings:
If most SaaS platforms are unknown, then AI-enabled accounts operating inside those platforms are also unknown.
The question is not whether unnecessary AI accounts exist.
It is how many.
A Practical Framework to Identify AI Accounts That Shouldn’t Exist
Step 1: Enumerate All Non-Human Identities
Start with your identity provider and major SaaS admin consoles.
Export:
Service accounts
Enterprise applications
OAuth-connected apps
Bot users
API keys
Pay special attention to accounts that:
Do not belong to named employees
Authenticate via application permissions
Have persistent OAuth tokens
CISA’s Secure Cloud Business Applications (SCuBA) guidance emphasizes the risk of delegated access that persists beyond user lifecycle events: https://www.cisa.gov/secure-cloud-business-applications-scuba
Persistent delegated access is often where AI identities live.
Step 2: Identify AI-Enabled SaaS Platforms
Because nearly every SaaS platform now incorporates AI, you must identify:
Which applications use embedded AI features
Which platforms analyze or summarize content
Which vendors offer model-driven automation
If an AI-enabled SaaS platform has file or inbox access via OAuth, it is effectively an AI identity with delegated authority.
If you do not know whether a SaaS platform leverages AI, that is a discovery failure.
SaaS visibility precedes AI governance.
Step 3: Look for Orphaned AI Accounts
AI accounts that should not exist typically share one or more of these characteristics:
No clear business owner
Created by former employees
Broad read/write access to sensitive data
Offline or long-lived tokens
Admin-level application permissions
Ask:
Who approved this AI integration?
What data does it process?
Is it still needed?
Can it be revoked centrally?
If you cannot answer those questions, the account is unmanaged.
Unmanaged identities define modern exposure.
Step 4: Evaluate Scope and Data Access
For each AI-related identity, determine:
Does it access file storage?
Does it read email content?
Does it access CRM or HR data?
Does it write or modify records?
High-risk AI identities often have:
Files.ReadWrite.All
Directory permissions
Broad cloud API access
The CISA Zero Trust Maturity Model emphasizes continuous verification and least privilege across identities:
If an AI account has more access than it needs, it should not exist in its current form.
Step 5: Check for Lifecycle Disconnects
AI identities frequently survive:
Employee offboarding
Project termination
Tool migration
Vendor changes
Because they authenticate independently of humans, they are often missed in access reviews.
Compliance frameworks such as the NIST Privacy Framework and ISO/IEC 27001 require accountability for data processing activities:
If an AI system continues processing data without clear ownership or documented purpose, that is a governance failure.
Common AI Accounts That Shouldn’t Exist
In practice, organizations often find:
AI note-taking bots connected to executive calendars
Automation tools with full Google Drive write access
AI analytics platforms with CRM admin privileges
Legacy integrations with persistent OAuth tokens
Shadow AI tools signed up with corporate email
These accounts rarely appear on vendor inventories.
But they appear in identity logs.
From Identification to Control
Once identified, you can:
Remove unused AI integrations
Restrict scopes to least privilege
Enforce SSO and MFA where possible
Assign clear ownership
Monitor AI-related OAuth grants continuously
AI governance is not policy alone.
It is identity control.
How Waldo Security Helps Surface Unnecessary AI Accounts
Waldo Security’s SaaS & Cloud Discovery Engine enables organizations to:
Discover known and unknown SaaS applications
Surface OAuth and delegated access
Identify non-human and AI-driven identities
Detect Shadow cloud environments
Map SaaS and AI exposure to compliance frameworks
Because almost every SaaS platform now leverages AI, understanding your SaaS landscape is foundational to understanding which AI accounts exist — and which shouldn’t.
Conclusion: If You Didn’t Intentionally Create It, Review It
AI accounts do not announce themselves.
They authenticate quietly.
They process data continuously.
They persist beyond user lifecycles.
If you are concerned about AI in your organization, start by asking:
Which AI identities exist today?
And more importantly:
Which ones should not?
Learn how organizations are uncovering unmanaged SaaS and AI identities in the 2025 SaaS & Cloud Discovery Report:
About Waldo Security
Waldo Security helps organizations discover, classify, and secure every SaaS and cloud service in use — known or unknown. By illuminating unmanaged identities, OAuth risk, Shadow IT, and AI-enabled SaaS exposure, Waldo enables security teams to defend the identity perimeter with continuous visibility and evidence.