Bridging the Gap to Autonomous Fixes: Snyk and Atlassian Unveil Intelligent Remediation for Jira

Modern development teams are currently drowning in security debt, often trapped in a manual, fragmented cycle of "find and fix" that slows down innovation. Even when equipped with high-fidelity vulnerability data, traditional workflows require developers to constantly context-switch between Jira tickets and their codebases to manually implement and test patches. This "old way" is inherently labor-intensive, leading to ignored tickets and a growing disconnect between security mandates and development velocity.

Today, we are thrilled to introduce a new integration between Snyk and Atlassian that transforms security from a manual chore into an autonomous background process.

The vision: From DevSecOps to agentic security

This partnership signals a fundamental shift in the industry from DevSecOps (integration) to autonomous fixing (remediation). By bridging the gap between the system of record (Jira) and the system of execution (your ADE), Snyk and Atlassian empower your developers to autonomously reduce risk.

Central to this vision is Snyk Studio, our specialized security intelligence AI workflow that powers this transition. Snyk Studio provides studio-recipes—a collection of agentic skills, rules, hooks, and commands—that serve as ready-to-use security solutions for your development workflow. By leveraging these recipes, organizations can move beyond the established leader-led model of manual triaging, proving that AI-driven agents can not only identify risks but also actively close the loop on remediation.

How it works: Intelligent remediation of Jira tickets

The integration allows developers to leverage an Agentic Development Environment (ADE)—such as Cursor or Claude Code—to orchestrate autonomous remediation.

1. Context ingestion: The workflow begins with the Snyk Security in Jira Cloud integration, which automatically pushes identified vulnerabilities into Jira with rich metadata.

2. AI orchestration: Using the Atlassian Remote MCP Server, Teamwork Graph (TWG) CLI, or Atlassian CLI for Jira, a developer’s ADE fetches the ticket context.

3. Autonomous fixes: Leveraging our “snyk-fix”, “secure-at-inception”, and more skills (available on the Tessl registry or Vercel skills.sh), the AI agent ingests the ticket's context and passes it to Snyk’s skills to generate a precision fix within the local cloned repository.

4. Closing the loop: The solution is validated with a follow-up Snyk scan, an optional pull request is opened, and the Jira ticket status is updated to "In Progress" or "Resolved"—all without the developer ever leaving their primary workspace.

Why this matters for your team

• Drastic reduction in MTTR: Organizations can resolve vulnerabilities in minutes rather than days by automating context gathering and fix generation.

• Elimination of context switching: Developers stay focused in their ADE, leveraging MCP servers or CLIs to pull Jira data directly into their coding environment.

• Higher fix accuracy: By combining Jira metadata with Snyk’s security intelligence, the AI generates verified fixes that are rescanned for issues before they are committed.

• Offloading "security toil": Automating routine remediation frees up senior developers to focus on high-value feature engineering.

• Rapid setup: Go from manual to autonomous in minutes by installing Snyk Security in Jira Cloud from the Atlassian Marketplace and setting up the MCP servers or CLIs and Snyk skills in your preferred ADE.

Availability and next steps

These capabilities are available immediately. To get started:

• Explore Snyk’s skills on the Tessl.io registry or Vercel skills.sh.

• Check out Snyk studio-recipes today.

Are you attending Atlassian Team 2026 in Anaheim? Come see us at the Ventures booth on May 5th and 6th to see autonomous remediation in action!