AI Monitoring
by Formiti's Global DPO Team
An operational monitoring module for tracking compliance-relevant events, incidents, and anomalies across the AI system portfolio with severity classification and resolution tracking.
Who uses this module?
AI Governance Leads, Technical Owners, Security Officers, Compliance Managers.
What governance problem does it solve?
Post-deployment AI systems require ongoing monitoring for compliance drift, performance degradation, and incident detection. AI Monitoring provides structured event logging that connects operational signals to governance actions — closing the loop between deployment and ongoing compliance.
What are the key workflows?
- Log monitoring events with structured classification (incident, anomaly, compliance drift, performance)
- Assign severity levels and track resolution status
- Link events to specific AI systems, assessments, and remediation tasks
- Escalate unresolved events with defined triggers
- Document resolution with evidence and root-cause analysis
Log monitoring events with structured classification (incident, anomaly, compliance drift, performance)
Assign severity levels and track resolution status
Link events to specific AI systems, assessments, and remediation tasks
Escalate unresolved events with defined triggers
Document resolution with evidence and root-cause analysis
What evidence and reporting does it produce?
Built-in outputs for accountability and regulatory readiness
Event register by system, type, and severity
Resolution timeline analytics
Open vs. resolved event trends
Severity distribution dashboard
Linked remediation task tracking
How does it connect to other Privacy360 modules?
- Linked to AI System Register for system-level context
- Unresolved events can trigger AI Remediation tasks
- Linked to AI Assessments for reassessment triggers
- Severity trends inform review reopen decisions
- Feeds into AI Evidence for audit documentation
What are some example use cases?
A technical owner logs a model performance degradation event; the severity triggers a remediation task and flags the system for reassessment review.
A governance lead reviews the monitoring dashboard and identifies a pattern of low-severity compliance drift events across three systems, initiating a targeted review cycle.
During a regulatory enquiry, the monitoring register provides a complete timeline of incidents, resolutions, and linked remediation actions for a specific AI system.
Related modules
AI System Register
Structured inventory of every AI system with EU AI Act risk tier, named business and technical ownership, and AI Bill of Materials provenance.
AI Remediation
Turn AI assessment findings into assigned, dated remediation tasks with evidence requirements — so gaps close between assessment cycles.
AI Assessments
A 13-section EU AI Act and GDPR assessment wizard that scores prohibited practice, high-risk, GPAI and transparency outcomes with evidence.
AI Evidence
One indexed repository linking every compliance artefact to the AI system, assessment, task or supplier it evidences.