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From Discovery to Closure: How to Integrate Pentest Vulnerabilities With Jira, Linear, Azure DevOps, and GitHub

Learn how to manage pentest vulnerabilities from discovery to verified remediation using Jira, Linear, Azure DevOps, and GitHub integrations with Software Secured Portal.

By Kaycie Waldman
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A pentest report can be thorough and well-organized, yet completely disconnected from where the engineering team actually works. If someone has to open the PDF, read each vulnerability, and manually recreate it as a ticket in whatever tool the team lives in, details get paraphrased and severity re-judged instead of carried over.

That is why vulnerabilities sit open longer than they need to. The real value of connecting pentest vulnerabilities to Jira, Linear, Azure DevOps, or GitHub is faster discovery and proof of remediation.

The Software Secured Portal is built around exactly that. Every vulnerability becomes a native ticket in your software development platform with severity, reproduction steps, and remediation guidance intact, and every fix traces back through retesting to a documented, auditable close. This matters most for engineering teams that manage work in sprints, who will act on pentest vulnerabilities faster when they show up as tickets instead of a PDF, and for teams selling into the enterprise, where an unresolved vulnerability with no visible remediation trail can stall a deal at the security review stage.

What Happens After a Pentest Vulnerability Is Discovered?

Every vulnerability follows the same path from discovery to closure, regardless of which ticketing tool a team uses:

  1. Triage the vulnerability: understand what it is, how severe it is, and what evidence supports it.
  2. Assign ownership: route it to the team actually responsible for that part of the product.
  3. Create or link the engineering ticket: get it into the tool where the fix will actually happen.
  4. Track remediation against the SLA: keep a clock running that's independent of the ticketing tool.
  5. Retest and close the vulnerability: verify the fix and convert that verification into audit evidence.

Many pentest workflows stop at step three: vulnerabilities become tickets, and what happens after that is left to the engineering and security teams. The rest of this article walks through all five stages and what each one actually looks like inside Portal, in Jira, Linear, Azure DevOps, and GitHub.

Stage 1: Triage: Start With a Structured Vulnerability

Triage starts with the vulnerability itself. The more structured it is, the less manual work it takes to understand and act on it. Every vulnerability in a Software Secured Portal report includes:

  • Vulnerability name and class
  • A unique identifier (UID), used for linking and matching across systems
  • Severity scored on two independent scales: CVSS for industry-standard impact and DREAD for contextual risk
  • Vulnerability location and affected entities
  • A description of the issue and its specific business impact
  • Mitigation and remediation guidance
  • Step-by-step reproduction instructions
  • Evidence or proof-of-concept (PoC)
  • Affected compliance frameworks
  • External references

Portal also tracks status alongside each vulnerability: whether it's New, Updated, Closed, or Accepted Risk; its SLA compliance status; the project component it belongs to; and whether it's already linked to a ticket or still unconnected. Reports themselves arrive roughly two business days after testing wraps, following internal QA and risk calibration.

Stage 2: Assign Ownership: Route Vulnerabilities to the Right Team

Once a vulnerability is triaged, it needs an owner. Even within a single application, different teams may own different parts of the attack surface, such as the API, front end, or infrastructure. Manually splitting a pentest report to hand each team only the vulnerabilities relevant to them is tedious, even when it's clear which team should own each one.

Software Secured addresses ownership at the source. At kickoff, the testing team defines project components, such as the API, front end, infrastructure, or other distinct parts of an application, and tags every vulnerability to its component as it's found. From there, components let you filter the risk summary down to one component, filter the Vulnerabilities table by component before tickets get created, or export a Reports & Executive Summaries report scoped to that component for reporting purposes.

You can then filter and route the right vulnerabilities to the teams responsible for each part of the application. Labels reinforce the same routing. Portal supports up to 50 labels per project for things like release version, assigned team, or sprint, and those labels carry over: they sync to Linear labels, and in GitHub they can appear in the issue description or as real GitHub labels. You can assign ownership through labels before a single ticket exists.

Stage 3: Create or Link the Engineering Ticket

Once a vulnerability is triaged and owned, it has to land somewhere. Portal connects to all four tools, and each integration is built around how that specific tool actually works.

Integration Setup Field Mapping Standout Feature
Jira API token Full custom mapping, auto-detected Bulk UID matching
Linear SSO, one-click Structured description only, no custom fields Component-to-team auto-routing
Azure DevOps Microsoft SSO Full custom mapping, same as Jira Enterprise identity controls
GitHub GitHub App install Choose fields, native Markdown Real GitHub labels, repo-scoped access

Jira is the most configurable of the four. Fields with matching names auto-map on setup, and everything else is adjustable by dropdown, which matters for teams with heavily customized Jira workflows.

Linear trades configurability for speed. There's no token to generate or rotate. Authentication is a single sign-on click, and because Linear doesn't support custom fields, the integration is built around structured issue descriptions instead, which is how most Linear teams already work anyway.

Azure DevOps authenticates through Microsoft SSO, which may require org admin approval depending on tenant configuration. It offers the same field-mapping depth as Jira, making it a natural fit for teams already standardized on the Microsoft stack with compliance requirements around audit trails.

GitHub connects through a GitHub App install rather than a token or SSO handshake: clicking to connect redirects to a GitHub login, where you choose the repository owner, select which repositories to grant access to, and confirm the install before landing back in Portal. Access is scoped to only the repositories granted. Vulnerability data renders in native GitHub Markdown, and Portal labels don't just show up as text in a description; they become real, filterable GitHub labels in the repo.

All four integrations are available on the Standard Plus plan and above. Ticketing integration isn't included on the base Standard plan.

Getting vulnerabilities into any of these four tools happens in one of three ways, depending on where a team is starting from:

Bulk create, for a fresh report. On the Vulnerabilities page in Portal, select the vulnerabilities to push, filtering by severity or component if needed, and choose "create work items" from the bulk actions menu. Twenty vulnerabilities from a pentest report become twenty tickets in about the time it takes to make coffee, each one arriving with severity, reproduction steps, evidence, and a link back to Portal vulnerability, not a copy-pasted wall of text.

Link one-to-one for tickets that already exist. If a team already opened tickets manually before setting up the integration, or wants granular control over a specific vulnerability, clicking the "Not Connected" indicator next to any vulnerability, selecting the matching existing ticket, and confirming the link keeps that vulnerability and that ticket permanently connected in Portal from then on.

Bulk UID match, for a Jira board built from a PDF. This one is unique to Jira, and it's the most useful for teams who received a report before the integration was set up and already recreated the vulnerabilities as Jira tickets by hand. Selecting the vulnerabilities to link, telling Portal which Jira field contains the vulnerability's UID (it doesn't have to be the only content in that field; a UID embedded in an issue title works too), and reviewing Portal's detected matches links the entire board to Portal in one operation instead of one ticket at a time.

Stage 4: Track Remediation Against the SLA

A ticket living in Jira or Azure DevOps doesn't mean anyone is watching the clock. That's what Portal's SLA tracking is for, and it runs independently of wherever the actual remediation work happens, which is the point: the ticketing tool tracks the work, and Portal tracks the deadline.

Default remediation windows are set by severity:

Severity Remediation window
Critical 5 business days
High 30 days
Medium 90 days
Low 180 days
Informational No SLA

Each vulnerability shows one of three statuses: Compliant, At Risk, or Overdue, and the timer starts on the report delivery date. These defaults are also fully customizable to match a team's internal remediation policy. Teams can also connect Slack or Microsoft Teams to Portal to receive notifications when vulnerabilities are one week away from their SLA deadline, helping engineering teams stay on top of remediation before a vulnerability becomes overdue.

Accepted Risk vulnerabilities are treated as Closed for SLA purposes, but only after an Org Admin or Project Admin approves them with a written justification and a timestamp. This approval creates a documented, auditable decision that the team has accepted the risk rather than leaving the vulnerability unresolved without an explanation.

Stage 5: Retest and Close the Vulnerability

This stage determines whether all the tracking in Stages 3 and 4 mattered. Creating a ticket and watching an SLA clock doesn't mean a vulnerability is fixed. Verification does.

Once an engineer applies a fix, requesting a retest starts from the Vulnerabilities tab: select the vulnerabilities to retest, click "Add to Retest" from the bulk actions dropdown, then "Submit Retest." A Retesting Round modal opens where environment notes can be added before clicking "Submit Request" to send it in. Software Secured typically retests within about two weeks. What happens next depends on the outcome:

  • Fixed: status changes to Closed, and SLA status changes to Compliant.
  • Still present: status changes to Updated, and the SLA timer keeps running from the original discovery date, not from the retest date.
  • Reappeared after being closed: the vulnerability is reopened and moved back into the active report.

This is also where the whole lifecycle turns into audit evidence. A vulnerability that moved from Triage through Ownership, Ticket, SLA, and Retest has a full, timestamped record: when it was found, who owned it, where the work happened, whether it hit its deadline, and how it was verified closed. That record is what a compliance auditor or enterprise security questionnaire actually asks for.

Standard Plus pentest packages include up to three rounds of retesting, so it's worth batching remediated vulnerabilities together rather than submitting them one at a time. Teams on PTaaS or Premium plans have unlimited retesting, so the same batching habit still applies, but without the limit.

Frequently Asked Questions

Which Software Secured plan includes Jira, Linear, Azure DevOps, or GitHub integration? Ticketing integration is available starting on the Standard Plus plan and above. It isn't included on the base Standard plan.

Does the Jira integration support custom fields? Yes. Jira and Azure DevOps both support full custom field mapping, with fields that share a name auto-detected on setup. Linear doesn't support custom fields, so its integration is built around structured issue descriptions instead.

What happens if a retested vulnerability is still present? Its status changes to Updated, and the SLA timer keeps running from the original discovery date rather than resetting.

How is the pentest remediation SLA clock calculated? From the date a vulnerability was first discovered, not from when a ticket was created for it. Default windows are 5 business days for Critical vulnerabilities, 30 days for High, 90 days for Medium, and 180 days for Low.

You can customize these defaults to match your organization's Vulnerability Management Policy. In Portal, click the clock icon on the SLA Compliance card in the Overview tab to open SLA Settings and update the timeframes to reflect your internal requirements.

Can Software Secured link vulnerabilities to tickets my team already created before setting up an integration? Yes. You can link a vulnerability one-to-one to an existing ticket; for Jira specifically, you can bulk-match an entire board of tickets built from a PDF report to Portal vulnerabilities at once using each vulnerability's unique identifier.

What if I use a custom-built ticketing system or one not on the integration list? Portal supports CSV export for vulnerabilities, so teams using a ticketing tool outside Jira, Linear, Azure DevOps, and GitHub can still pull structured vulnerability data from Portal and load it into their own system. The export includes description, remediation steps, replication steps, status update, text evidence, severity, status, and SLA deadline for each vulnerability. 

Security in the Sprint

The distance between a vulnerability being discovered and a team proving it was fixed is where risk actually lives. Every stage in this workflow- triage, ownership, ticketing, SLA tracking, and retesting - exists to shrink that distance and leave a record behind, so a pentest report turns into something engineering teams act on instead of a compliance artifact nobody revisits, and something security and sales teams can point to with a real answer when an enterprise prospect asks how vulnerabilities get tracked and closed.

If your team is already deciding between PTaaS providers based on whether the workflow fits how your engineers work, Software Secured's Portal and its Penetration Testing as a Service offering are built around that exact question. Book a consultation to see how we integrate with your Jira, Linear, Azure DevOps, or GitHub setup.

Ready to get in touch? Get started by booking a consultation now.

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About the author

Kaycie Waldman Demand Generation Manager

Kaycie Waldman

Demand Generation Manager

Kaycie Waldman works closely with SaaS, cloud, and technology organizations on security, risk, and compliance initiatives that support growth and enterprise readiness. Her work spans strategic content, go-to-market initiatives, and customer trust programs designed to support scale, compliance, and enterprise sales.

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