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The Problem

Your vulnerability backlog lives in Jira or Linear. Engineers pick up tickets, ship fixes, and the ticket needs to move forward. But how does anyone know the fix actually works? In some teams, nobody verifies at all. Engineers close tickets and move on. The backlog shrinks on paper, but nobody knows how many of those fixes actually hold. In other teams, the security team has to manually verify every fix before it can be marked as resolved and promoted to production. A security engineer pulls up the original finding, reconstructs the exploit, figures out which environment the fix deployed to, runs the test, documents the result, and signs off. Either way, the process doesn’t scale. Teams that skip verification are shipping unvalidated fixes. Teams that require it are creating a bottleneck where security becomes the blocker on every release. Even when retesting happens, it rarely goes deep enough. The original exploit gets replayed and confirmed blocked, and the ticket moves on. But patches get bypassed by variant payloads the original fix didn’t account for. Fixes that work in isolation break when another change lands weeks later. Entire vulnerability classes reappear because the root cause was patched in one endpoint but not the three others with the same pattern. Without systematic bypass testing and ongoing regression monitoring, “Done” is just a status — whether the security team signed off on it or not.

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How Neo Solves This

Neo connects directly to your Jira or Linear backlog and automates the verification work, whether your team uses security sign-off before production or validates after deployment.
  1. Picks up fixes from your backlog — Neo monitors your issue tracker for tickets that are ready for verification. In teams where engineers close tickets directly, Neo picks up tickets that move to Done and validates retroactively. In teams where security must sign off before production, Neo picks up tickets that move to a “Ready for Verification” or “In Review” state and runs validation before the fix is approved. Either way, your backlog drives what gets tested.
  2. Gathers context from the ticket — each ticket carries the information Neo needs. Linked repositories tell Neo where the code lives. Environment references tell Neo where the fix is deployed. If the original finding was created by Neo, the stored payload, reproduction steps, and execution trace are already attached. If the ticket came from a manual pentest or another tool, Neo reads the description and reproduction steps to reconstruct the test.
  3. Configures access at runtime — Neo uses the repository connections and environment configurations you’ve set up to reach what it needs for that specific ticket. A fix to an internal API gets tested against your staging environment with the right credentials. A fix to a public-facing endpoint gets tested against your external staging URL. Neo scopes each validation to the right context without manual setup per ticket.
  4. Retests with the original exploit — Neo replays the original finding against the patched system. This is the verification step that most teams do manually and inconsistently. Neo does it every time, for every fix, with full evidence capture. If the exploit still works, the ticket is flagged immediately.
  5. Analyzes the code diff — Neo pulls the linked PR and reviews what changed. It checks whether validation is applied consistently across all entry points, whether the fix uses allowlisting or brittle blocklisting, whether new error handling paths leak information, and whether the change introduces new vulnerability patterns.
  6. Tests for bypasses — confirming the original exploit fails is necessary but not sufficient. Neo generates variant payloads based on the vulnerability class: encoding mutations, alternative input vectors, logic boundary cases, and attack paths the original fix may not cover. It systematically tests whether the patch can be circumvented.
  7. Posts results back to the ticket — every validation result goes back to the ticket with full evidence. For teams using security sign-off, this is the verification report: Neo tested it, here’s what passed, here’s what didn’t, here’s the evidence. The security team reviews Neo’s results instead of manually retesting, and approves or rejects the fix with confidence. For teams without a sign-off gate, tickets that pass get annotated with verification evidence, and tickets that fail get reopened with the exact payload and bypass path that succeeded.
  8. Monitors for regressions permanently — the fix doesn’t just get verified once. Neo continues monitoring across future releases. When surrounding code changes, when dependencies update, when new endpoints are added with similar patterns, Neo retests to confirm the fix still holds — and alerts your team if it doesn’t.

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What This Looks Like in Practice

It’s Thursday afternoon. Your team has 11 security tickets in the “Ready for Verification” column in Linear. Three were from Neo’s last pentest, four from an external audit, and four from engineer-reported issues. Engineers have shipped fixes and they’re waiting for your sign-off before going to production. Instead of spending your Friday retesting each one manually, you ask Neo: 
Validate all security tickets in the Ready for Verification column 
in Linear. For each one, retest the original finding, check the 
code diff for completeness, and attempt bypass variants. Post results 
to each ticket.
Neo pulls the 11 tickets from Linear. For each one, it reads the finding details, identifies the linked PR and target environment, and starts validation. Nine fixes hold — original exploits blocked, bypass variants fail, code diffs look solid. Each ticket gets a detailed comment with the verification evidence: what was tested, what payloads were attempted, and confirmation that the fix is effective. You review Neo’s results, approve the nine passing tickets, and they ship to production. But ticket SEC-342, an XSS fix in the profile editor, has a problem. The patch sanitizes input on the POST endpoint but not the PUT endpoint used for bulk updates. Neo exploits the unpatched path, captures the payload and response, and posts the evidence to the ticket with the specific code path that was missed. You move it back to “In Progress” and the engineer sees exactly what to fix Monday morning. It never reached production. Ticket SEC-518, a rate limiting fix from the external audit, also fails. The original finding was described as “brute force possible on login endpoint.” Neo reconstructs the test from the ticket description, confirms the rate limit now works on /api/login, but discovers that /api/v2/login — an older endpoint still in production — has no rate limiting at all. The ticket goes back with the new endpoint flagged. Three months later, a refactor touches the profile editor module. Neo automatically retests all related security fixes and catches that one of them has regressed. The team hears about it in Slack before the release reaches production.

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What You Get

  • Automated retesting from your backlog — Neo works from your Jira or Linear tickets directly. No separate workflow, no manual test setup. Fixes get verified as part of the same process your team already uses.
  • Security sign-off without the bottleneck — for teams that require verification before production, Neo does the retesting work and delivers the evidence. Your security team reviews and approves instead of manually retesting every fix.
  • Verified fixes, not closed tickets — confirmation that each fix actually blocks the vulnerability, with full evidence attached to the ticket so your backlog reflects reality.
  • Coverage for every source — whether the finding came from Neo, a manual pentest, a bug bounty report, or an engineer, Neo can pick up the ticket and validate the fix.
  • Bypass detection before production — systematic testing for variant payloads, alternative input vectors, and logic edge cases the original fix may have missed.
  • Permanent regression monitoring — ongoing retesting across future releases so fixes that degrade over time get caught immediately.

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Setup

  1. Connect your issue tracker in Settings → Integrations — Jira or Linear. This is how Neo reads your vulnerability backlog and writes validation results back to tickets.
  2. Connect your GitHub repositories so Neo can access linked PRs and code diffs for patch analysis.
  3. Configure your environments in Settings → Environments with the staging URLs and credentials Neo needs to test deployed fixes.
  4. Set up environment variables in Settings → Environment Variables for any credentials or API keys needed to reach specific services at runtime.
  5. Run your first validation by asking Neo to check recent fixes, or set up a scheduled assessment that validates all closed security tickets on a weekly cadence.