Can Screenata Integrate with Jira, GitHub, or CI/CD for Continuous Compliance?

Screenata integrates with Jira, GitHub, and CI/CD pipelines via webhooks and native APIs to automate the collection of application-level evidence. By connecting to your development workflow, Screenata triggers AI agents to record UI-based control tests the moment a pull request is merged or a ticket is closed. This ensures that evidence for controls like Change Management (CC7.2) and Logical Access (CC6.1) is captured continuously, eliminating the "audit crunch" and providing a real-time record of compliance.

Why Integration is Essential for Continuous Compliance

In the modern DevOps environment, software changes occur daily, if not hourly. Traditional compliance methods—where evidence is collected manually every quarter—cannot keep pace with this velocity. This creates a "compliance debt" where teams must retroactively document changes months after they occurred.

The Problem: The Disconnect Between Code and Compliance

Most GRC platforms like Drata and Vanta monitor infrastructure via API, but they cannot "see" what happens inside the application UI or the specific nuances of a manual approval process. Without integration:

Evidence is missed: Changes are deployed without visual proof of the approval flow.
Context is lost: Developers forget why a specific change was made by the time the audit starts.
Manual overhead increases: Security teams spend 40–80 hours per audit cycle chasing down Jira tickets and GitHub screenshots.

The Solution: Trigger-Based Evidence Collection

By integrating Screenata with Jira, GitHub, and CI/CD, organizations move from "Point-in-Time" compliance to "Continuous Compliance." When an event occurs in your dev stack, Screenata acts as an automated observer, capturing the necessary visual proof and metadata immediately.

How Screenata Integrates with GitHub

GitHub is the source of truth for code changes and access control logic. Screenata’s integration with GitHub focuses on automating the evidence for SOC 2 CC7.2 (Change Management) and CC7.3 (Deployment).

1. Triggering on Pull Request (PR) Merges

When a PR is merged in GitHub, Screenata can be configured to trigger an AI agent session. The agent navigates to the PR, captures the approval history, verifies that branch protection rules were followed, and generates a PDF evidence pack.

2. Automating Branch Protection Evidence

Auditors often require proof that main branches are protected. Screenata can periodically (or upon a GitHub webhook event) record the settings page of your repository to prove that "Require pull request reviews before merging" is enabled.

3. Change Management Mapping

GitHub Event	SOC 2 Control	Screenata Action
PR Opened	CC7.2	Logs the initiation of a change request.
Review Submitted	CC7.2	Captures the identity of the reviewer and their comments.
PR Merged	CC7.3	Generates a final Evidence Pack linking the code change to the approval.

How Screenata Integrates with Jira

Jira serves as the primary workflow engine for access requests, bug tracking, and project management. Screenata integrates with Jira to automate the documentation of CC6.1 (Logical Access) and CC6.2 (User Provisioning).

1. Access Request Documentation

When a Jira ticket for "New User Access" is moved to "Done," Screenata can trigger a recording of the admin panel in the target system (e.g., Okta or AWS) to prove that the user was provisioned with the correct, least-privilege permissions.

2. Evidence Linking

Screenata automatically appends the generated Evidence Pack (PDF) back to the original Jira ticket as a comment or attachment. This creates a closed-loop system where the "Request" (Jira Ticket) and the "Proof" (Screenata Report) are permanently linked for auditors.

3. Example Workflow: Logical Access (CC6.1)

Trigger: A Jira ticket for "Revoke Admin Access for User X" is closed.
Action: Screenata launches an AI agent that logs into the application’s settings.
Capture: The agent records the "Users" list, showing that User X no longer has Admin rights.
Output: A timestamped PDF is generated and attached to the Jira ticket and synced to Vanta/Drata.

Integrating Screenata into CI/CD Pipelines

Modern CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, CircleCI) are the heartbeat of software delivery. Integrating Screenata here allows for Automated Regression Compliance.

1. Post-Deployment Verification

Once a build is successfully deployed to production, a CI/CD step can trigger Screenata to run a "Smoke Test" of key security controls. For example, the agent can verify that the "Admin Login" still requires MFA or that the "Public" folder is indeed restricted.

2. Compliance-as-Code

By adding a Screenata CLI command or API call to your .github/workflows/main.yml, you treat compliance evidence as a first-class citizen of your build process. If the evidence collection fails (e.g., the UI changed and the control is no longer visible), the build can be flagged for review.

3. Technical Implementation Example (GitHub Actions)

steps:
  - name: Deploy to Production
    run: ./deploy.sh
  - name: Trigger Screenata Compliance Capture
    run: |
      curl -X POST https://api.screenata.ai/v1/trigger \
      -H "Authorization: Bearer ${{ secrets.SCREENATA_API_KEY }}" \
      -d '{"control_id": "CC7.4", "environment": "production"}'

Comparison: Manual vs. Integrated Continuous Compliance

Feature	Manual Process (No Integration)	Screenata Integrated Process
Evidence Timing	Quarterly or Annually	Real-time (at the moment of action)
Data Accuracy	High risk of human error/omission	99% (Machine-captured metadata)
Developer Friction	High (Interrupts work for screenshots)	Zero (Automated background task)
Audit Readiness	Weeks of preparation	Always "Audit Ready"
Traceability	Disconnected files and folders	Linked directly to Jira/GitHub IDs

Step-by-Step: Setting Up the Screenata-GitHub Integration

To enable continuous evidence collection for your change management process, follow these steps:

Step 1: Connect the Screenata GitHub App

Navigate to the Screenata Integrations dashboard and select GitHub. Authorize the Screenata App to access your repositories. This allows Screenata to listen for webhook events like pull_request.closed.

Step 2: Define the Trigger Logic

Specify which events should trigger a recording. For SOC 2 CC7.2, you would set:

Event: Pull Request Merged
Target Branch: main or production
Action: Launch AI Agent "Change Management Verifier"

Step 3: Map to GRC Controls

Select your GRC platform (e.g., Drata). Map the GitHub integration output to the specific control ID. For example, all merged PR evidence should be sent to the "Change Management" evidence library in Drata.

Step 4: Verify the Evidence Loop

Perform a test merge in GitHub. Observe the Screenata dashboard as the AI agent automatically starts, captures the PR approval, generates the PDF, and pushes it to your GRC platform.

Best Practices for Continuous Compliance Integrations

To ensure your integration scales and provides maximum value to auditors, follow these industry best practices:

Use Descriptive Tagging: Ensure your Jira tickets and GitHub PRs use consistent tags (e.g., #compliance, #soc2). Screenata can use these tags to filter which events require automated evidence capture.
Enable PII Redaction: When capturing evidence from Jira or GitHub, ensure Screenata’s AI-powered redaction is active to blur out sensitive developer emails or internal IP addresses.
Monitor Integration Health: Check the Screenata integration logs weekly to ensure webhooks are firing correctly. A failed webhook means a gap in your continuous evidence timeline.
Incorporate Auditor Feedback: Show your auditor the integrated workflow early. Most auditors prefer this "Continuous" approach over folder dumps and will provide feedback on exactly which metadata fields they want to see in the automated reports.

Frequently Asked Questions

Does Screenata slow down my CI/CD pipeline?

No. Screenata triggers are typically asynchronous. Your CI/CD pipeline sends a "fire and forget" webhook to Screenata, which then handles the evidence collection on its own infrastructure. This ensures your deployment speed is never compromised.

Can I trigger Screenata from an internal, self-hosted Jira or GitHub?

Yes. Screenata supports webhooks from both cloud and on-premise (self-hosted) versions of Jira and GitHub, provided your firewall allows outbound traffic to the Screenata API.

What happens if a Jira ticket is closed but the AI agent fails?

Screenata features a "Retry and Alert" mechanism. If an integration trigger fails to produce evidence (e.g., the target application was down), the compliance team is notified via Slack or email to perform a manual capture or investigate the issue.

Do I need to write code to integrate Screenata?

No. While an API is available for advanced CI/CD use cases, most Jira and GitHub integrations are "No-Code." You can set up the triggers and mappings entirely through the Screenata UI.

Key Takeaways

✅ Real-Time Evidence: Integration moves compliance from a quarterly burden to a real-time, background process.
✅ Zero Developer Friction: Developers keep using Jira and GitHub as usual while Screenata handles the documentation.
✅ Closed-Loop Traceability: Evidence is automatically linked to the source ticket or pull request, providing a perfect audit trail.
✅ Framework Versatility: One integration can provide evidence for SOC 2, ISO 27001, and HIPAA simultaneously.
✅ GRC Synergy: Screenata acts as the visual "sensor" for GRC platforms like Drata and Vanta, filling the 20% manual gap in their automation.

Learn More About GRC Platform Integration

For a complete guide to integrating application-level evidence automation with Drata, Vanta, and GRC platforms, including how to integrate with Jira, GitHub, and CI/CD pipelines for continuous compliance, see our comprehensive GRC integration guide.