# Drata + Jira integration

> Sync security controls, audit evidence, and compliance tasks between Drata and Jira so engineering and security teams stay on the same page.

**Canonical page:** https://tray.ai/connectors/drata-jira-integrations/
**Drata connector:** https://tray.ai/connectors/drata-integrations/
**Drata documentation:** https://tray.ai/documentation/connectors/service/drata
**Jira connector:** https://tray.ai/connectors/jira-integrations/
**Jira documentation:** https://tray.ai/documentation/connectors/service/jira

## Overview

Drata is a security and compliance automation platform that continuously monitors your controls, collects evidence, and keeps you audit-ready for frameworks like SOC 2, ISO 27001, and HIPAA. Jira is where engineering and DevOps teams track work, manage sprints, and resolve issues. Integrating the two connects compliance requirements directly to the engineering workflows where remediation actually happens.

Security and compliance teams rely on Drata to surface control failures, evidence gaps, and policy violations — but the engineers responsible for fixing those issues live in Jira. Without an integration, compliance managers have to manually export findings from Drata, create Jira tickets by hand, and chase down status updates across two disconnected systems. That means slow remediation cycles, missed audit deadlines, and no real-time visibility into compliance posture. Connect Drata to Jira through tray.ai and you can automatically create Jira issues the moment a control fails, route tickets to the correct team, sync status updates both ways, and close the loop on evidence collection — without a single manual step. The result is faster remediation, cleaner audit trails, and a compliance program that keeps pace with engineering.

## Use cases

### Automatic Jira Ticket Creation for Drata Control Failures

When Drata detects a failing or non-compliant control, tray.ai automatically creates a Jira issue with full context — control name, severity, affected system, and remediation guidance. The right engineering team is assigned immediately based on predefined routing rules, so compliance managers don't have to manually relay findings.

- Eliminates manual ticket creation for every control failure detected in Drata
- Engineers get actionable context and remediation steps directly in Jira
- Reduces mean time to remediation by getting the right team involved immediately

### Bidirectional Status Sync Between Drata Controls and Jira Issues

As engineers resolve Jira tickets related to compliance findings, tray.ai reflects those status changes back in Drata, keeping your compliance posture current. If a previously passing control regresses in Drata, the corresponding Jira issue is automatically reopened or escalated.

- Real-time compliance posture visibility without manual status reporting
- Prevents stale or inaccurate control statuses from misleading auditors
- Reduces back-and-forth between security and engineering teams

### Evidence Collection Linked to Jira Completion Events

When a Jira issue tied to a compliance task is marked as resolved, tray.ai can automatically trigger evidence collection workflows in Drata — attaching PR links, deployment records, or screenshots as audit evidence. This closes the gap between work being done and that work being documented for auditors.

- Automates evidence attachment to Drata controls on Jira ticket closure
- Reduces audit preparation time by maintaining a continuous evidence trail
- Minimizes the risk of missing evidence when an audit arrives

### Compliance Sprint Planning with Drata Risk Data

tray.ai can pull Drata's list of open control failures and risk findings and automatically generate a prioritized batch of Jira issues ready for sprint planning. Engineering leads can review and assign these tickets within Jira, so compliance remediation gets treated as real work alongside product development.

- Compliance work fits naturally into existing Jira sprint workflows
- Remediation is prioritized based on Drata risk severity scores
- Engineering teams have clear accountability for compliance outcomes

### Policy Violation Alerts Converted to Jira Epics and Sub-tasks

For complex policy violations that require coordinated remediation across multiple teams, tray.ai can translate a Drata policy failure into a Jira Epic with automatically generated sub-tasks assigned to each responsible team. You get a structured, trackable remediation plan without the manual project management overhead.

- Complex compliance remediation is organized as Jira Epics with clear sub-tasks
- Accountability is distributed across teams with well-defined assignments
- Multi-team compliance efforts are tracked in one place

### Vendor and Third-Party Risk Tracking in Jira

When Drata flags a vendor or third-party integration as non-compliant or overdue for review, tray.ai automatically creates a Jira ticket for the procurement or security team to investigate. Deadlines, vendor details, and compliance framework references are populated automatically so no context gets lost in the handoff.

- Vendor compliance reviews are tracked and actioned within Jira
- Overdue third-party reviews don't slip through the cracks
- Vendor risk data stays consistent across both platforms

### Audit Preparation Task Generation from Drata Readiness Reports

As an audit deadline approaches, tray.ai can parse Drata's audit readiness report and automatically generate a Jira project with tasks for each outstanding evidence item, control gap, or reviewer action. Teams get clear assignments with due dates, so the final audit sprint is organized rather than chaotic.

- Drata audit readiness reports become actionable Jira project plans
- Every outstanding compliance item has a clear owner and deadline
- Less last-minute scrambling when the audit actually starts

## Templates

### Drata Control Failure → Create Jira Issue

Automatically creates a Jira issue with severity, control details, and remediation guidance whenever Drata detects a new control failure or non-compliant check, routing it to the correct project and assignee.

Connectors used: Drata, Jira

### Jira Issue Resolved → Update Drata Control Status and Attach Evidence

When a compliance-related Jira issue is marked as Done, tray.ai updates the corresponding control status in Drata and attaches any linked artifacts — such as pull request URLs or deployment logs — as audit evidence.

Connectors used: Jira, Drata

### Weekly Drata Open Findings → Jira Backlog Sync

On a scheduled basis, tray.ai queries Drata for all open control failures and evidence gaps, then creates or updates corresponding Jira backlog items so the engineering backlog always reflects the current compliance posture.

Connectors used: Drata, Jira

### Drata Audit Readiness Report → Jira Audit Sprint Project

Converts Drata's audit readiness assessment into a fully structured Jira project with tasks, assignees, and due dates aligned to the upcoming audit timeline, so teams can start coordinated preparation right away.

Connectors used: Drata, Jira

### Drata Policy Violation → Jira Epic with Sub-tasks

Transforms complex Drata policy violations requiring multi-team remediation into a Jira Epic with automatically generated and assigned sub-tasks, giving teams a coordinated and trackable remediation plan.

Connectors used: Drata, Jira

### Jira Regression Detection → Reopen Drata Control Finding

Monitors Jira for issues that are reopened or return to In Progress after being resolved, and automatically flags the corresponding Drata control as regressed so compliance managers know about reversals immediately.

Connectors used: Jira, Drata

## Challenges Tray.ai solves

### Keeping Control Statuses Consistent Across Two Platforms

Drata and Jira operate independently, so a control remediated in Jira may stay marked as failing in Drata for days or weeks if the sync is manual. That produces inaccurate compliance posture reporting and can mislead auditors or leadership reviews.

**How Tray.ai helps:** tray.ai keeps Jira issue statuses and Drata control states in sync in real time, so an update in either system shows up in the other right away. Custom field mappings let teams define exactly which Jira transitions trigger which Drata status changes.

### Avoiding Duplicate Jira Tickets for the Same Drata Finding

Without deduplication logic, recurring or persistent Drata control failures can produce dozens of duplicate Jira tickets, cluttering the backlog and leaving engineers unsure which ticket to action.

**How Tray.ai helps:** tray.ai checks for existing open Jira issues linked to a specific Drata control before creating a new one. If a match is found, the existing ticket is updated with the latest finding details rather than spawning a duplicate.

### Routing Compliance Tickets to the Right Engineering Team

Drata surfaces control failures at the system or service level, but translating that into the correct Jira project, component, and assignee requires organizational knowledge that varies from company to company. Manual routing is error-prone and slow.

**How Tray.ai helps:** tray.ai supports configurable routing tables that map Drata control categories, affected systems, and severity levels to specific Jira projects, components, and default assignees. This logic can be updated without engineering involvement as team structures change.

### Capturing Audit Evidence from Jira Without Manual Effort

Auditors require documented proof that remediation work was completed — but engineering teams rarely attach evidence to Drata manually after closing a Jira ticket. Evidence gaps tend to surface at the worst possible moment: during an active audit.

**How Tray.ai helps:** tray.ai automates evidence capture by extracting linked pull requests, deployment records, and attachments from resolved Jira issues and pushing them directly to the corresponding Drata control. This happens automatically at the moment of Jira ticket resolution.

### Scaling Compliance Operations Without Adding Headcount

As a company grows, the number of Drata controls, evidence requirements, and Jira tickets multiplies fast. Manually managing the handoff between compliance and engineering teams becomes a full-time job that doesn't scale.

**How Tray.ai helps:** tray.ai handles the entire compliance-to-engineering handoff automatically — thousands of control checks, ticket creations, and status syncs without extra manual effort. Workflow templates can be reused across multiple compliance frameworks and Jira projects as the organization grows.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/