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Findings come in from everywhere. Scanners, pentests, bug bounty reports, dependency advisories, internal audits. They land in your Jira or Linear backlog as tickets, and someone on the security team has to work through each one to answer three questions: Is this real? How bad is it actually? And who should fix it? That triage process is where security teams lose the most time. A scanner flags a critical CVE, but is your application actually running the affected version in a reachable configuration? A pentest report lists fifteen findings, but half of them describe theoretical risk without confirming exploitability. A dependency advisory goes out for a library you use, but the vulnerable function is never called in your codebase. Without validation, everything looks urgent. With manual validation, your team spends days researching, testing, and contextualizing before a single fix gets assigned. And even after severity is assessed, routing is its own problem. Who owns the code behind the vulnerable endpoint? Which team maintains the service that uses the affected library? If the original author left the company, who picked it up? Security teams spend hours tracing git history, checking CODEOWNERS files, and chasing people in Slack before the right engineer even sees the ticket.

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How Neo Solves This

Neo works through your finding backlog in Jira or Linear and handles the full triage workflow: validating whether a finding is real, assessing its actual severity in your environment, and routing it to the right owner with everything they need to act.
  1. Pulls findings from your backlog — Neo reads vulnerability tickets from Jira or Linear, regardless of where they originated. Scanner results, pentest findings, bug bounty submissions, CVE advisories — if it’s a ticket in your tracker, Neo can pick it up and triage it.
  2. Validates exploitability — Neo doesn’t take severity labels at face value. It investigates each finding against your actual environment. Is the affected version deployed? Is the vulnerable endpoint reachable? Are the preconditions for exploitation met? For findings with known exploits or public proof-of-concept code, Neo tests them directly. For dependency vulnerabilities, Neo checks whether the vulnerable function is actually called in your codebase. Findings that can’t be exploited in your environment get marked as such with evidence.
  3. Assesses real severity — raw CVSS scores don’t account for your environment, your architecture, or what’s actually at stake. Neo contextualizes each finding: What data does the affected service handle? Is it internet-facing or internal? What compensating controls exist? What would an attacker actually gain from successful exploitation? The result is a severity assessment grounded in your specific risk, not a generic score.
  4. Identifies the right owner — Neo traces ownership through your codebase and organization. It analyzes git blame and contribution history for the affected files, checks CODEOWNERS and package maintainer configurations, looks at who has been reviewing and merging PRs in the affected area, and cross-references with related tickets. The finding gets assigned to the person or team with the most context to fix it, not just whoever’s on rotation.
  5. Enriches the ticket with full context — the assigned engineer receives a ticket that has everything they need: the validated finding with evidence of exploitability, the assessed severity with reasoning, reproduction steps, links to the relevant code and commits, and specific remediation guidance. No back-and-forth with the security team to understand what the finding means or how to fix it.
  6. Closes out noise — findings that Neo confirms are false positives, not exploitable in your environment, or already mitigated by compensating controls get documented with evidence and marked appropriately. Your backlog shrinks to only what’s real and actionable.

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What This Looks Like in Practice

Your team just received results from three sources in the same week: a quarterly scan produced 200+ findings, an external pentest report added 12, and a critical CVE advisory came in for a library used across several services. Your backlog just grew by 215 tickets and your team has two days before the sprint planning meeting. 
Triage all unreviewed security tickets in Linear. For each one:
- Validate whether the finding is exploitable in our environment
- Assess actual severity based on our architecture and data exposure
- Identify the right owner from git history and CODEOWNERS
- Update the ticket with your assessment and assign it
- Close anything that's a false positive with evidence
Neo works through the 215 tickets. Of the 200 scanner findings, 34 are confirmed exploitable with evidence, 89 are not exploitable due to configuration, compensating controls, or the affected code path not being reachable, and 77 are duplicates or informational findings that don’t represent real risk. Each gets a comment explaining the assessment. The 34 confirmed findings get severity adjusted based on actual impact. Eight that the scanner flagged as critical are downgraded — the affected services are internal, behind authentication, and handle no sensitive data. Three that were flagged as medium get escalated — they affect a payments endpoint processing customer financial data. Each ticket gets assigned to the right engineer based on git history and code ownership. From the pentest report, Neo validates 9 of 12 findings as exploitable, can’t reproduce 2, and identifies 1 as already fixed in a deployment that went out after the pentest engagement ended. The two unconfirmed findings get detailed notes on what Neo tested and why it couldn’t reproduce, so your security team can follow up with the pentest firm. The CVE advisory affects a logging library used in 8 services. Neo checks each one: 5 services call the vulnerable function and are confirmed exploitable, 3 use the library but never invoke the affected code path. Five tickets get created and assigned to the respective service owners. The other 3 get a single informational ticket noting the dependency should still be updated but isn’t an active risk. Your sprint planning meeting has a clean backlog: 48 validated, severity-assessed, owner-assigned tickets instead of 215 unreviewed findings.

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What You Get

  • Validated findings, not scanner output — every finding is tested against your actual environment. What’s exploitable gets confirmed with evidence. What isn’t gets documented and closed.
  • Severity that reflects your risk — assessments grounded in your architecture, data sensitivity, and exposure rather than generic CVSS scores.
  • Automatic ownership routing — findings assigned to the right engineer or team based on git history, code ownership, and contribution patterns. No manual investigation to figure out who should fix what.
  • Enriched tickets engineers can act on — every assigned ticket includes validated evidence, severity reasoning, reproduction steps, and remediation guidance. Engineers fix the issue instead of asking the security team what the ticket means.
  • A clean backlog — false positives, duplicates, and non-exploitable findings get closed with evidence. What remains is real, prioritized, and assigned.

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Setup

  1. Connect your issue tracker in Settings → Integrations — Jira or Linear. This is where Neo reads incoming findings and writes triage results.
  2. Connect your GitHub repositories so Neo can validate findings against your codebase and trace ownership through git history and CODEOWNERS.
  3. Configure your environments in Settings → Environments so Neo can test exploitability against your running applications.
  4. Upload any relevant context to Files — asset inventories, architecture diagrams, previous scan results, or team ownership documents. These improve triage accuracy but aren’t required.
  5. Run your first triage by pointing Neo at unreviewed tickets, or set up a scheduled workflow to triage new findings on a daily or weekly cadence.