AI Systems
Learn how Sprinto’s AI Systems module helps organisations discover, manage, and govern AI systems using risk assessments, due diligence, and Shadow AI monitoring.
AI Systems is a dedicated governance module within Sprinto’s Data Library that helps organisations discover, manage, assess, and monitor AI systems used across the organisation.
As AI adoption grows, organisations must maintain visibility into how AI systems are being used, what risks they introduce, and whether they comply with internal security policies and emerging AI governance frameworks.
The AI Systems module provides a centralised inventory for managing:
Internal AI systems developed within the organisation
Third-party AI tools and services used by teams
Shadow AI usage discovered across the organisation
AI-specific risk assessments and governance workflows
Security due diligence and vendor reviews
AI policy violations and remediation tracking
AI Systems extends Sprinto’s existing vendor governance infrastructure with AI-specific capabilities such as model tracking, AI risk scoring, Shadow AI discovery, AI system questionnaires, and AI-focused compliance workflows.
Note
AI Systems is currently available as an on-demand feature. Contact Sprinto Support to raise a request and get this feature enabled for your organisation.
Why AI Governance Matters
AI systems introduce unique operational, security, privacy, and compliance risks that traditional vendor management workflows may not fully address.
Organisations increasingly need to:
Maintain an inventory of AI systems used across teams
Identify unauthorised or unreviewed AI usage
Assess AI-related privacy and security risks
Review AI vendors and supporting evidence
Monitor violations involving sensitive data exposure
Demonstrate AI governance maturity during audits
The AI Systems module helps organisations operationalise these workflows through a single governance workspace.
Supported AI Governance Frameworks
AI Systems supports governance workflows aligned with commonly adopted AI governance and compliance frameworks, including:
ISO 42001
EU AI Act
NIST AI Risk Management Framework (AI RMF)
The module includes configurable risk scoring, due diligence workflows, evidence collection, and monitoring capabilities that support AI governance and audit readiness.
AI System Types
Sprinto supports two types of AI systems.
Internal AI Systems
Internal AI systems are AI applications, models, or services developed and managed within your organisation.
Examples include:
Internal AI copilots
Custom LLM integrations
Internal automation workflows
Proprietary machine learning systems
Internal AI systems are managed without linking an external vendor.
Third-party AI Systems
Third-party AI systems are externally provided AI platforms, tools, or services used by your organisation.
Examples include:
ChatGPT Enterprise
Claude
Gemini
AI-enabled SaaS tools
Vendor-hosted AI platforms
Third-party AI systems can be linked to vendors for due diligence, security reviews, and document request workflows.
Key Capabilities
The AI Systems module includes the following core capabilities.
AI System Inventory
Maintain a central inventory of AI systems used across the organisation.
You can:
Add internal and third-party AI systems
Track owners and stakeholders
Associate vendors with AI systems
Capture AI-specific metadata
Configure custom fields
Monitor lifecycle stages
Shadow AI Discovery
Sprinto can automatically discover unmanaged or unapproved AI usage across the organisation.
The Shadow AI section helps you:
Detect AI applications used by employees
Review associated users
Review risk classifications
Identify AI policy violations
Add discovered systems into the governed inventory
AI Risk Assessment
AI Systems includes configurable AI-specific risk assessment workflows.
You can:
Evaluate AI risk factors
Configure scoring thresholds
Assign AI risk levels
Review risk posture across systems
Maintain periodic risk assessments
Risk scoring supports governance workflows aligned with AI governance frameworks such as ISO 42001.
Due Diligence and Security Reviews
Sprinto supports AI vendor due diligence workflows for collecting and reviewing security documentation.
You can:
Request documents from vendors
Upload supporting evidence
Send questionnaires
Review compliance artefacts
Generate AI-assisted findings
Track due diligence completion
Security Questionnaires
The AI Systems module supports reusable AI security questionnaires.
You can:
Create questionnaires using CSV templates
Recommend questionnaires by framework or risk level
Send questionnaires to vendors
Track submissions and responses
Maintain audit-ready evidence
Violations Monitoring
Sprinto can monitor and surface AI-related violations involving:
Personally identifiable information (PII)
Protected health information (PHI)
Legal or contractual information
Sensitive organisational data
Violations are mapped to:
AI systems
Users
Severity levels
Detection timestamps
Findings and Tasks
AI governance workflows often require remediation and operational follow-up.
Sprinto allows teams to:
Create findings
Upload supporting evidence
Assign remediation tasks
Track due dates and ownership
Monitor issue resolution
Main Tabs in AI Systems
The AI Systems module contains the following main tabs.
Added AI Systems
Displays all governed AI systems in the organisation
Shadow AI
Displays automatically discovered AI usage
Violations
Displays AI-related policy and compliance violations
Questionnaire
Manages AI security questionnaires
Configuration
Configures AI governance settings and workflows
AI System Lifecycle in Sprinto
AI governance in Sprinto typically follows the lifecycle below:
Discover or add an AI system
Classify the AI system
Assign owners and stakeholders
Assess AI-related risk
Perform vendor due diligence if required
Upload documents and questionnaires
Monitor violations and findings
Track remediation tasks
Periodically review governance posture
This lifecycle helps organisations maintain continuous oversight of AI systems across their environment.
Relationship Between AI Systems and Vendors
AI Systems extends Sprinto’s existing vendor governance workflows.
For third-party AI systems, organisations can:
Associate vendors with AI systems
Reuse due diligence workflows
Request compliance documents
Send questionnaires
Track vendor risk and evidence
This enables consistent governance workflows across both vendors and AI systems.
AI-specific Metadata Supported
AI Systems supports AI-focused metadata fields including:
AI models used
Use case
Business objective
Deployment geography
Stakeholders
Vendors
Owners
Lifecycle stage
Custom AI fields
These attributes help organisations maintain structured AI governance records.
Monitoring and Governance Workflows
Sprinto continuously supports governance monitoring through:
Risk scoring
Due diligence tracking
Violations monitoring
Findings management
Task tracking
Shadow AI discovery
Monitor-based workflows
This helps organisations maintain visibility into AI governance activities and compliance posture.
Related Information
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