Case intake for multiple trigger types
Open cases for alert investigations, finding review, assurance issues, release exceptions, or custom governance work without creating separate tracking patterns for each source.
Feature · Governance cases
Run AI governance investigations and follow-up work from one case layer
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
- Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
- Evaluation suites
Define governed prompt evaluation suites with baselines, regression thresholds, run evidence, and release-blocking posture.
- Release governance
Manage AI-system release records with approval state, rollback references, dependency snapshots, and invalidation handling.
- Telemetry connectors
Manage telemetry providers, ingest cadence, connector health, and manual signal pulls from a first-class governance control plane.
- LLM telemetry and monitoring
Bring live assurance signals, telemetry connector management, trigger rules, and evidence-ready monitoring context into AI governance workflows.
- Reports and certificates
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.
Core capabilities
Built to support production governance work
Linked artifact coordination
Associate alerts, findings, remediation tasks, evidence items, rule executions, trigger runs, and related records to the same case timeline.
Assignment and SLA management
Route ownership to users or roles, attach SLA policies or deadlines, and make overdue work more visible to the teams responsible for closure.
Investigation and closure notes
Capture root cause, internal notes, resolution state, and closure outcomes so teams preserve the reasoning behind each governance decision.
Shared workflow for governance and operations
Give compliance, risk, and operational teams a common place to coordinate follow-up instead of splitting work across inboxes and spreadsheets.
Target users
- Governance operations teams triaging alerts, findings, and release exceptions
- Compliance and risk leaders coordinating follow-up across multiple stakeholders
- Audit and assurance reviewers who need a durable investigation and closure trail
- Operational owners resolving remediation work tied to governed AI systems
Governance value
- Creates a durable case-management layer for governance issues that span multiple workflows
- Improves ownership clarity with assignments, deadlines, and linked artifacts in one record
- Makes investigations easier to review after the fact because context and outcomes stay together
- Supports better escalation of telemetry, evaluation, and compliance issues into accountable follow-up
- Reduces fragmentation between operational incidents and governance decision-making
How teams use it
A practical operating flow for this feature family
Step 1
Open the right case
Create a case from a finding, alert, release exception, or custom issue and define the severity, owner, and initial workflow posture.
Step 2
Coordinate linked work
Attach the evidence, remediation tasks, alerts, and related records that explain the issue and shape the response.
Step 3
Resolve with a durable record
Close the loop with root-cause notes, resolution status, and closure history that other reviewers can understand later.
Continue exploring
Explore how SentinelAI connects adjacent governance workflows
Compliance workflows
Operationalize evidence collection, control tracking, remediation, and framework mapping across AI systems.
Evaluation suites
Define governed prompt evaluation suites with baselines, regression thresholds, run evidence, and release-blocking posture.
Release governance
Manage AI-system release records with approval state, rollback references, dependency snapshots, and invalidation handling.
Telemetry connectors
Manage telemetry providers, ingest cadence, connector health, and manual signal pulls from a first-class governance control plane.
LLM telemetry and monitoring
Bring live assurance signals, telemetry connector management, trigger rules, and evidence-ready monitoring context into AI governance workflows.
Reports and certificates
Prepare executive reporting, audit-ready evidence views, and governance certificate workflows without overstating outcomes.