Google Gemini risk assessment

More than 120,000 enterprises run on Google Gemini, according to Alphabet's Q4 2025 earnings. Gemini works inside Gmail, Google Docs, Google Drive, and Google Calendar using the same access permissions your employees already have. A sensitive document in a broadly shared Google Drive folder is visible to Gemini the moment it is visible to your employees. One misconfigured setting can widen what Gemini can reach across your organization.

ManageEngine SecureAI continuously assesses how your Gemini environment is configured. It checks the administrative controls across data governance, identity and access management, monitoring, network access, and third-party integrations, so your security team can see where exposure exists and what needs attention.

What are the indicators of an insecure Gemini configuration?

Security reviews of enterprise AI often focus on model behavior: inaccurate outputs or responses that surface information they should not. Gemini also has a configuration layer that deserves the same scrutiny as any other aspect of the LLM. How Gemini accesses Google Workspace data, which users can reach it, how admin accounts are protected, and which third-party apps can connect through OAuth all determine how much of your organization Gemini can access.

Five risk areas affect how secure your Gemini environment is:

• Data governance and DLP gaps: Gemini can surface content from any Google Drive file your employees have access to, so overly broad sharing settings become an AI risk. Missing Google Vault retention configuration, unmonitored data-localization changes, and ungated bulk export activity add to this. Google Workspace's DLP policies can identify these issues. However, keeping track of these DLP rule matches is a hassle when there are 100 triggers per week.
• Admin access and identity controls: Super admin accounts have tenant-wide reach in Google Workspace. Too many of them, or admins not enrolled in Google's Advanced Protection Program, leave any high-value targets in your environment poorly protected. Gemini access scoped beyond authorized users and organizational units, inconsistent 2-Step Verification enforcement, and admin role changes that go unmonitored also widen the exposure.
• Monitoring and audit visibility: Without enabling Gemini activity logs and admin audit logs, you have no reliable record of what happened during a security event. Out-of-domain email forwarding rules can allow data to be sent externally if you have no monitoring in place. When Alert Center rules and leaked-password detection settings are not configured, they leave further gaps that threat actors can exploit.
• Device compliance: Access to Google Workspace and Gemini from unmanaged or non-compliant devices creates a gap that is easy to miss. A device compliance policy means little if access from outside approved devices goes unflagged.
• Third-party app access: OAuth grants allow Gemini to access external data sources and trigger actions across connected apps. If those apps are compromised or contain malicious tool-call instructions, Gemini becomes vulnerable to indirect prompt injection and data exfiltration. Apps that were granted access and never reviewed, access tokens that were never revoked, and gaps in auditing access grants and revocations leave your organization with a broader connected surface than intended.

How SecureAI assesses Google Gemini security risks

SecureAI connects to your Google Workspace environment through a service account and reads configuration data across two services: Gemini and Gemini Enterprise Agent Platform. It continuously assesses administrative configuration, reviewing DLP policies, Google Vault retention settings, admin roles and counts, 2-Step Verification status, audit log availability, device compliance, and connected OAuth apps. It does not read emails, documents, conversation content, or personal data.

Each assessment check or risk indicator is assigned a severity rating of Low, Medium, High, or Critical, along with a weight based on its importance. SecureAI also measures risk exposure based on the percentage of relevant configurations that fail each check. These factors are combined into a Risk Score from 0 to 100, where a higher score indicates a riskier environment.

You can drill down to the specific admin account, user, organizational unit, or OAuth app that failed a control, along with identifying details and the reason for failure.

The assessment runs across five domains:

• Data Governance
• Identity & Access Management
• Monitoring & Logging
• Network Access Control
• Third-Party Integrations

Data Governance

• What it checks: SecureAI assesses DLP rule coverage for Gemini inputs and outputs, DLP rule-match monitoring, data-retention configuration in Google Vault, data-localization settings and change auditing, Google Drive external-sharing controls, and bulk data export monitoring.
• What it flags: It surfaces environments where DLP policies do not apply to Gemini-specific traffic, where Google Vault retention is not configured for Gemini data, where workloads are running outside approved regions, and where Google Drive sharing or export activity is not being captured.
• Why it matters: Gemini inherits existing Google Drive permissions. If those permissions are too broad and DLP is not covering Gemini traffic specifically, you have less visibility into what is moving through your environment than it likely assumes.
• The payoff: Your teams can confirm that DLP policies apply to Gemini, that data is staying in approved regions, and that exports and sharing events are captured before they become an incident.

Identity & Access Management

• What it checks: SecureAI reviews super admin counts and role assignments, 2-Step Verification enrollment status and change auditing, suspicious login monitoring, Gemini access scoping to authorized users and organizational units, admin role change auditing, Advanced Protection Program enrollment, and accounts without 2-Step Verification enforced.
• What it flags: It identifies too many super admin accounts, admin accounts not enrolled in the Advanced Protection Program, users accessing Gemini outside approved organizational units, unexpected admin role changes, and accounts where 2-Step Verification is not enforced or has recently changed.
• Why it matters: Super admin accounts have tenant-wide reach. Limiting their numbers, enforcing 2-Step Verification, and enrolling them in the Advanced Protection Program reduce the damage an account compromise can cause.
• The payoff: Your security teams get a clear picture of who has elevated access to the Gemini environment, how that access is protected, and whether it is scoped to the right people and organizational units.

Monitoring & Logging

• What it checks: SecureAI verifies that Gemini activity logs and admin audit logs are available and enabled, checks for out-of-domain email forwarding rules, assesses whether leaked-password detection is active, and confirms that Alert Center rules are configured.
• What it flags: It surfaces missing or unavailable Gemini activity logs and admin audit logs, email forwarding rules routing mail outside your organization's domain, absent Alert Center configuration, and environments where leaked-password detection is not in place.
• Why it matters: Out-of-domain email forwarding is a common data exfiltration path that can go undetected without explicit monitoring. Without Gemini activity logs and admin audit logs, reconstructing what happened during a security event is guesswork.
• The payoff: Your security teams have the audit trail needed to connect an event to a specific user, admin action, or configuration change. Anomalous forwarding rules and exposed credentials get flagged before the situation compounds.

Network Access Control

• What it checks: SecureAI verifies that devices accessing the Gemini environment meet your organization's compliance requirements and have been approved.
• What it flags: It identifies devices connecting to Google Workspace and Gemini that fall outside your organization's device compliance policies.
• Why it matters: Device compliance is one of the controls Google Workspace provides to keep Gemini access within a defined boundary. An unmanaged or out-of-policy device connecting to Google Workspace is a gap in that boundary that may go unnoticed.
• The payoff: You can confirm that access from personal, unmanaged, or non-compliant devices is being flagged rather than silently permitted.

Third-Party Integrations

• What it checks: SecureAI assesses whether installed third-party apps have been reviewed and approved, whether OAuth token grants and revocations are being audited, and whether an up-to-date inventory of OAuth app tokens exists.
• What it flags: It surfaces unapproved third-party apps with active OAuth access, gaps in grant and revoke auditing, and environments where the token inventory is incomplete or out of date.
• Why it matters: OAuth grants give third-party apps access to Google Workspace data, the same data Gemini can reach. An app connected and never reviewed retains that access until it is explicitly revoked.
• The payoff: Your security teams can see which third-party apps have OAuth access to your Google Workspace environment, confirm those grants were deliberate, and identify tokens that should have been revoked but were not.

What does a secure Gemini environment give your organization?

A well-configured Gemini environment reduces the number of admin accounts, OAuth grants, device connections, and data pathways that attackers can abuse during an incident. According to Verizon's 2026 Data Breach Investigations Report, cloud misconfiguration now accounts for 14% of all global breaches, up from 9% in 2024. Continuous assessment catches configuration drift before an unsafe setting becomes the default.

Usage and activity tracking: Gemini activity logs and admin audit logs make it possible to connect specific events to specific users or admin actions. Combined with Alert Center rules and leaked-password detection, your security teams have more than an aggregate score to work with when something looks wrong.

Regulatory compliance mapping: SecureAI's Gemini risk assessment is aligned to OWASP Top 10 for LLM Applications, MITRE Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS), NIST AI Risk Management Framework (AI RMF), ISO 42001, Gartner® AI trust, risk, and security management (TRiSM), and CIS Controls V8 data protection guidance, supporting internal reviews, audits, and regulatory reporting.

Incident response acceleration: When a control fails, SecureAI points to the specific admin account, OAuth app, forwarding rule, or device responsible, so your analysts can act without working backward from an aggregate score.

Cross-functional security monitoring: Your security, IT, and compliance teams can work from the same assessment view. Security tracks configuration exposure. IT monitors identity and device issues. Compliance uses the same data for audits and reporting.

Check your other AI platforms for security risks

Apply the same security posture management approach across the LLM services your organization depends on.

• Anthropic Claude: Assess the API key controls, workspace configuration, and MCP integrations behind one of the most widely deployed enterprise AI platforms.
• GitHub Copilot: Govern access to repositories and development environments where AI-assisted coding can directly affect sensitive source code.