Governance Trends

Governance trend analysis is the practice of examining how your AI governance posture changes over time — not just whether a single session passed or failed, but whether your systems are getting better or worse at governance, and at what rate. This guide explains how to read trend data effectively and integrate it into your governance review cadence.

Opening the Trends View

Navigate to Analytics → Trends. By default, it shows the last 30 days for all active applications.

Key controls:

• Date range — use 7 days for tactical investigation (model changes, prompt updates), 30 days for weekly governance reviews, 90 days for quarterly reporting
• Application filter — compare specific applications or isolate a single system
• Metric selector — choose which metrics to overlay (governance score, risk distribution, guardrail activity, anchor coverage)

Interpreting Governance Score Trends

What healthy looks like

A healthy governance score trend for a stable, well-instrumented application shows:

• A score in the 80–95 range with low day-to-day variance
• Gradual upward movement over weeks as instrumentation coverage improves
• Brief dips (3–7 days) after model updates, followed by recovery

Recognizing concerning patterns

Governance Score vs. Risk Distribution

Governance score and risk distribution are complementary signals — read them together:

• High governance score + low CRITICAL/HIGH rate = strong governance program, sessions are well-governed and low-risk
• High governance score + high CRITICAL/HIGH rate = strong governance program, but the application is handling inherently risky interactions — review whether risk classification is calibrated correctly
• Low governance score + low CRITICAL/HIGH rate = governance controls are present but underperforming; instrumentation coverage likely needs improvement
• Low governance score + high CRITICAL/HIGH rate = highest-priority governance improvement area; escalate to the responsible team

Using Trends in Regulatory Reporting

Many governance frameworks require evidence of continual improvement — not just a snapshot of current posture, but a demonstrated trend over time.

For EU AI Act Article 9 (post-market monitoring)

Export the governance score time series for all applications in scope for a given period. The export from the Analytics Trends view can be attached as evidence of your post-market monitoring system.

For ISO 42001 Clause 9.1 (performance evaluation)

The 90-day governance score chart with the fleet target line overlaid is a direct artifact for the monitoring, measurement, analysis, and evaluation requirement. Caption it with your target, the period covered, and your assessment of trend direction.

For SOC 2 CC7 (system operations)

The guardrail activity trend — blocked events over time — demonstrates that operational controls were active throughout the audit period.

Setting Trend Alerts

Rather than manually checking the Trends view on a schedule, configure alert rules to notify you when trends cross thresholds:

• Score regression alert — fires when the rolling 7-day score drops ≥ 10 points in 48 hours
• Score below target — fires when the rolling average stays below your configured target for 24 consecutive hours
• Anchor coverage drop — fires when anchor rate drops below 98%

See Policy Rule Templates for pre-built rules for each of these scenarios.

Related Documentation