Key AI Security Use Cases in SaaS | Solved by DoControl

AI capabilities are rapidly becoming embedded across the SaaS tools organizations rely on every day. Whether it’s collaboration platforms, AI assistants, or enterprise large language models (LLMs), security teams everywhere are struggling to understand their AI risk and how to effectively monitor, manage, and remediate it at scale.

AI security spans many different areas, but DoControl takes a laser-focused approach to where AI most directly intersects with SaaS data: data access, non-human identity management, application configuration, and unsanctioned AI applications.

The DoControl platform is foundationally built on AI, and the use cases we solve for today are a natural extension of our SaaS Data Security capabilities.

DoControl helps organizations safely adopt AI by providing visibility, governance, and automated remediation across their SaaS environment. Below are four key AI security use cases DoControl solves today.

1) AI Search Data Access Governance

Risk

AI search tools (ex: Gemini, Copilot, Glean), when deployed across platforms like Google Workspace and Slack, leverage all accessible data. This means any asset shared publicly, “Internally with a link,” or within a broadly shared Shared Drive is discoverable in a user's search results.

For many organizations, years of convenience-based sharing policies have resulted in sensitive documents being accessible more broadly than intended. Once AI search tools are introduced, those exposures become immediately discoverable. Files that were once buried deep in folders are now just one prompt away from being accessed by the wrong people.

Example

An organization rolls out an AI search tool like Gemini across Google Workspace to help employees quickly find, summarize, and analyze information. An employee types a prompt such as, “Show me salary information.” Because the company’s compensation document was previously shared internally with a link, the file is technically accessible to anyone in the organization with the link. 

The AI search tool surfaces that document in the employee’s results, even though the user was never supposed to see it. What was once a buried file suddenly becomes easily discoverable through AI-powered search.

DoControl Solution

DoControl provides full visibility and governance over how data is shared across SaaS environments, before AI search tools surface that information.

With DoControl, organizations can:

• Gain full contextual visibility into internal, external, and public assets
  
  
• Remediate existing exposure before rolling out AI search tools across the SaaS environment
  
  
• Implement automated workflows that enforce proper sharing policies moving forward, ensuring no data is overshared or misused by employees
  

This ensures sensitive information is not unintentionally exposed through AI-powered search tools.

2) AI Agent Data Access

Risk

Organizations are rapidly deploying new AI agents, often at either the company-wide or individual user level, to automate tasks such as note-taking in Google Workspace or updates in Slack.

However, once deployed, these agents gain access to all corporate data. This introduces a significant risk: a single incorrect action or configuration could result in the sharing, downloading, or deletion of critical information.

In many SaaS environments, a growing percentage of activity is already performed by non-human identities such as automation tools, integrations, and AI agents. In fact, 70% of actions taken in SharePoint are performed by non-human identities, and the number reaches 40% in Google Workspace.

Because AI agents often operate autonomously or semi-autonomously, it can be difficult for security teams to distinguish between normal activity and risky or anomalous behavior. Additionally, since AI agents frequently operate using the credentials of a human employee, security teams may struggle to determine whether an action was performed by a person or an AI-driven identity.

Example

A company deploys an AI agent to summarize internal documents for leadership updates. The agent operates using the credentials of a designated employee account to access company files. As part of its workflow, the agent opens sensitive documents, edits a summary file, and downloads multiple reports for analysis. 

In the audit logs, these actions appear as if the employee accessed, edited, and downloaded the files themselves. In reality, the activity was performed by a non-human identity with access to sensitive company data.

DoControl Solution

DoControl enables security teams to monitor and detect activity across SaaS platforms with the ability to differentiate between human and non-human actions.

With DoControl, organizations receive:

• Pinpointed alerts that detect anomalous activity across SaaS environments
  
  
• Agentic, contextual alerts that distinguish between human vs. non-human actions, helping identify AI-driven behavior
  
  
• Rapid detection and automated remediation of suspicious activity performed by AI agents

This allows organizations to safely deploy AI agents while maintaining oversight of how corporate data is accessed and used.

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3) AI App Configuration Drift

Risk

Companies are increasingly adopting enterprise versions of ChatGPT and Claude to drive company-wide productivity, integrate foundational AI models into their technical infrastructure, and innovate with the latest AI capabilities.

These applications function like any other SaaS tool, with extensive configuration settings that control authentication, permissions, integrations, and data access.

If a single setting is misconfigured, it can introduce vulnerabilities that lead to account takeover, exposure of critical data, or failure to meet compliance requirements.

As these applications evolve and settings change, configuration drift can occur quietly without security teams realizing it.

Example

A company deploys ChatGPT Enterprise internally to help employees summarize documents and draft reports. During configuration, a setting that controls data retention and logging is enabled by default. As employees begin using the tool, prompts containing internal financial data and customer information are stored by the application. 

This configuration conflicts with the company’s data handling policies and regulatory requirements for sensitive information. Without visibility into configuration drift, the organization may unknowingly fall out of compliance.

DoControl Solution

DoControl continuously monitors AI applications for configuration changes and security drift.

With DoControl, organizations can:

• Identify and report configuration drift across deployed AI applications
  
  
• Continuously monitor AI tool configurations for security risk and alignment with key compliance standards
  
  
• Auto-detect and remediate configuration issues in real time

This ensures AI applications remain securely configured as they are deployed and scaled across the organization.

4) Shadow AI Installation

Risk

The rapid proliferation of AI is leading employees to install free AI applications daily, often using OAuth credentials without the knowledge of security and IT teams.

These applications commonly request access to services like Google Workspace and Slack in order to function.

This practice creates a security blind spot. Security teams lack visibility into:

• What AI applications are being installed
  
  
• What corporate data those applications can access
  
  
• How that data is being used
  
  
• Whether the application itself is trustworthy

Example

An employee installs a free AI productivity tool they found online to help summarize emails and meeting notes. To work properly, the application requests OAuth access to the employee’s Google Workspace account. Once approved, the tool gains permission to read emails, access files in Google Drive, and connect to Slack messages. 

The employee begins using the tool immediately, but the security team has no visibility into the application or the data it can access. As a result, sensitive company information may be accessible to an unsanctioned AI application without security or IT oversight.

DoControl Solution

DoControl provides full visibility and governance over AI applications connected to corporate SaaS environments.

With DoControl, organizations can:

• Gain complete visibility and contextual risk scoring of every AI application installed
  
  
• Filter and bulk remediate risky applications already connected to corporate systems
  
  
• Automate approval workflows for newly installed AI applications on an ongoing basis

This eliminates shadow AI risk while allowing organizations to safely adopt new AI tools.

Enable AI Innovation Without Losing Control

AI adoption across SaaS platforms is accelerating, and organizations are introducing new capabilities into their environments faster than security teams can traditionally govern them.

These technologies unlock meaningful productivity gains, but they also introduce new risks around data access, identity management, application configuration, and unsanctioned AI tools.

DoControl gives security teams the visibility and control needed to safely adopt AI across their SaaS environment. By identifying data exposure, monitoring non-human activity, detecting configuration drift, and governing AI applications, organizations can move forward with AI initiatives while maintaining strong security and compliance posture.

As AI continues to evolve, security teams need solutions that help them understand where AI is interacting with corporate data, and ensure it’s happening safely. DoControl enables organizations to embrace AI innovation without losing control of their SaaS environment.