Feature · Governance cases
SentinelAI gives governance teams a case workspace for triaging alerts, findings, release exceptions, assurance issues, remediation tasks, and evidence-linked follow-up without bouncing across disconnected systems.
What this area covers
Governance cases provide the orchestration layer for work that begins with an alert, a finding, a release exception, or another governance trigger. The case record keeps assignment, SLA, linked artifacts, investigation context, and resolution history together.
Related product areas
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
Define governed prompt evaluation suites with baselines, regression thresholds, run evidence, and release-blocking posture.
Manage AI-system release records with approval state, rollback references, dependency snapshots, and invalidation handling.
Manage telemetry providers, ingest cadence, connector health, and manual signal pulls from a first-class governance control plane.
Bring live assurance signals, telemetry connector management, trigger rules, and evidence-ready monitoring context into AI governance workflows.
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.
Core capabilities
Open cases for alert investigations, finding review, assurance issues, release exceptions, or custom governance work without creating separate tracking patterns for each source.
Associate alerts, findings, remediation tasks, evidence items, rule executions, trigger runs, and related records to the same case timeline.
Route ownership to users or roles, attach SLA policies or deadlines, and make overdue work more visible to the teams responsible for closure.
Capture root cause, internal notes, resolution state, and closure outcomes so teams preserve the reasoning behind each governance decision.
Give compliance, risk, and operational teams a common place to coordinate follow-up instead of splitting work across inboxes and spreadsheets.
Target users
Governance value
How teams use it
Step 1
Create a case from a finding, alert, release exception, or custom issue and define the severity, owner, and initial workflow posture.
Step 2
Attach the evidence, remediation tasks, alerts, and related records that explain the issue and shape the response.
Step 3
Close the loop with root-cause notes, resolution status, and closure history that other reviewers can understand later.
Continue exploring
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
Define governed prompt evaluation suites with baselines, regression thresholds, run evidence, and release-blocking posture.
Manage AI-system release records with approval state, rollback references, dependency snapshots, and invalidation handling.
Manage telemetry providers, ingest cadence, connector health, and manual signal pulls from a first-class governance control plane.
Bring live assurance signals, telemetry connector management, trigger rules, and evidence-ready monitoring context into AI governance workflows.
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.