Source: https://sprinto-test.docs-staging.pageloop.ai/data-library/ai-systems/dashboard-actions/monitor-ai-system-violations

# Monitor AI System Violations

The Violations section in Sprinto helps organisations monitor AI-related policy breaches, sensitive data exposure risks, and governance concerns across AI systems.

Violations monitoring helps organisations:

- Detect AI-related policy violations
- Review sensitive data exposure
- Identify risky AI usage patterns
- Monitor organisational AI activity
- Investigate user activity
- Maintain governance oversight

Sprinto centralises AI-related governance signals within the Violations tab.

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## Navigate to Violations

To access AI system violations:

1. Log in to the Sprinto dashboard.
2. Navigate to **Data Library**.
3. Select **AI Systems**.
4. Open the **Violations** tab.

![](/assets/d6388231f231-screenshot-2026-05-13-at-12.53.47.png)

The Violations tab displays AI-related governance and compliance violations detected across AI systems.

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## Violations Inventory

The Violations table provides visibility into detected governance issues.

The inventory may include:

- Rules violated
- Violated by
- AI system
- Violated on
- Severity

This helps organisations centrally review governance and compliance concerns.

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## Review Violated Rules

Sprinto surfaces the specific governance or compliance rule associated with each violation.

Examples may include:

- Detect PII in user input and output
- Detect PHI in user input and output
- Detect legal or contractual information in user input and output

These detections help organisations identify unsafe or non-compliant AI usage.

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## Review Associated Users

Each violation is mapped to the associated user activity.

The Violated by column helps organisations:

- Identify users involved in the activity
- Investigate governance concerns
- Review risky usage patterns
- Track repeated policy violations

This improves accountability and governance visibility.

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## Review Associated AI Systems

Violations are also mapped to the related AI systems.

This helps organisations:

- Identify risky AI systems
- Review governance posture
- Prioritise governance reviews
- Assess AI-related operational risks

The AI system association helps connect violations with governance workflows such as:

- Risk assessments
- Due diligence reviews
- Findings and remediation
- Governance monitoring

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## Severity Levels

Sprinto classifies violations using severity levels.

Depending on your configuration, severity levels may include:

- Low
- Medium
- High
- Critical

Severity classifications help organisations prioritise investigations and remediation activities.

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## Search and Filter Violations

The Violations tab supports filtering and search workflows.

You can:

- Search for violations
- Filter by AI systems
- Review violation history
- Monitor governance trends

This helps organisations efficiently investigate governance concerns.

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## Relationship Between Violations and Shadow AI

Violations may also be surfaced during Shadow AI discovery workflows.

This helps organisations:

- Identify unmanaged AI systems
- Detect risky AI usage patterns
- Investigate unsanctioned AI activity
- Bring discovered systems into governance workflows

Violations monitoring and Shadow AI governance work together to improve organisational oversight.

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## Governance Investigations

Organisations can use the Violations workflow to investigate:

- Sensitive data exposure
- Risky AI prompts
- Unapproved AI usage
- Compliance gaps
- Unsafe operational behaviour

Violation investigations can additionally lead to:

- Findings creation
- Remediation tasks
- Risk reassessments
- Governance reviews

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## Governance Monitoring Workflows

The Violations section supports continuous AI governance monitoring.

Sprinto helps organisations:

- Review organisational AI activity
- Detect governance gaps
- Monitor policy compliance
- Track high-risk AI activity
- Maintain governance visibility across teams

This helps organisations strengthen AI governance posture over time.

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## AI Governance Best Practices

When reviewing AI system violations:

- Investigate high-severity violations promptly
- Review repeated user violations carefully
- Reassess risky AI systems periodically
- Review sensitive data exposure patterns
- Bring unmanaged AI systems into governance workflows
- Document remediation activities where required
- Maintain audit-ready governance records

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## Related Information

- [AI Systems Overview](/data-library/ai-systems)
- [How AI Systems Work](/data-library/ai-systems/how-ai-systems-work)
- [Discover and Govern Shadow AI](/data-library/ai-systems/dashboard-actions/discover-and-govern-shadow-ai)
- [Assess AI System Risk](/data-library/ai-systems/dashboard-actions/assess-ai-system-risk)
- [Manage Findings and Tasks](/data-library/ai-systems/dashboard-actions/manage-findings-and-tasks)