For security and development teams, the ticket is where theory meets reality. A vulnerability finding is just an observation; a well-written Jira ticket is a plan for action. Yet, this crucial handoff point is often a major source of friction, delay, and misunderstanding.

Security engineers, already swamped with triage, spend precious time manually creating tickets. They copy and paste CVE details, summarize the risk, look up affected assets, and try to provide remediation guidance. The process is slow and prone to error.

Worse, the ticket often lands in the developer’s backlog lacking the right context. The developer is left asking: Which of our 50 microservices is this in? Is this in the main branch or a test environment? What’s the actual impact on our application? How do I even fix this in our specific stack?

This ambiguity leads to a frustrating back-and-forth, with tickets being reassigned, deprioritized, or simply ignored. The security team sees a growing backlog of unresolved issues, while the development team feels that security is a blocker, not a partner.

Creating Tickets That Developers Actually Understand

Imagine if every security finding could be instantly translated into a perfectly formulated, developer-ready Jira ticket, complete with all the context needed to start working on a fix immediately.

An AI security copilot makes this possible by acting as an intelligent bridge between security and development workflows. It understands what both sides need and automates the creation of tickets that are clear, actionable, and context-rich.

Manual Ticket Creation (The Old Way)

  • Security engineer manually copies CVE data.
  • Tries to remember and list affected servers.
  • Writes a generic description of the risk.
  • Pastes a link to a generic remediation guide.
  • Forgets to add labels, epics, or priority fields.

AI-Powered Ticket Creation (The New Way)

  • The AI is prompted: “Create a ticket for this CVE.”
  • Pulls specific asset names & cloud IDs.
  • Includes business context (prod, staging, dev).
  • Provides a concise, structured vulnerability summary.
  • Generates stack-specific fix instructions.
  • Auto-populates project, labels, priority & epics.

Less Time Writing, Faster Time to Remediation

By automating the handoff, you eliminate the friction that slows down security. Developers receive tickets they can immediately act on, drastically reducing the back-and-forth and shortening the remediation lifecycle. Security engineers are freed from the mind-numbing task of manual data entry and can focus on verifying fixes and tackling more complex security challenges.

This isn’t just about saving time; it’s about building a more collaborative and effective security culture. When tickets are clear and actionable, security is no longer a blocker—it’s an integrated part of the development process.

Want to stop writing tickets and start closing them?

“Try AI-generated tickets that developers actually understand.”