Govern AI agents on Jira
Add governance controls to AI agents that triage, create, and update Jira issues. The Jira pack ensures agents follow your team's workflow conventions, require approval for status transitions, and maintain audit trails on every ticket change.
What this pack does
- Policy enforcement on issue creation and transitions
- Approval gates for priority escalations
- Field validation before agent updates
- Audit log of every agent-initiated change
Use cases
Require approval before an agent escalates issue priority
Validate that agents assign correct labels and components
Audit AI-driven triage decisions
Quick setup
- 1Install the Jira pack: cordumctl pack install jira
- 2Configure Jira API credentials
- 3Define workflow policies for issue transitions
- 4Enable the pack and test with your project
Frequently asked questions
How does Cordum govern Jira actions?
Cordum evaluates every Jira action against your policy before execution. The Safety Kernel returns Allow, Deny, or Require Approval decisions, ensuring agents operate within approved boundaries.
Do I need to modify my existing Jira setup?
No. The Cordum Jira pack installs as an overlay. It intercepts agent actions at the governance layer without changing your existing Jira configuration.
What happens if an agent action is denied?
The action is blocked before execution, logged in the audit trail, and optionally triggers an alert. The agent receives a structured denial with the policy reason, so it can adjust its approach.
Ready to govern Jira?
Other integrations
Approval notifications and agent alerts in Slack channels.
Govern AI agent actions on GitHub repositories.
Govern AI agent actions across AWS services.
Govern AI agents responding to Kubernetes incidents.
Feed Datadog alerts into governed agent workflows.
Govern AI agents in PagerDuty incident workflows.