Press TechRound interviews Secure.com CEO on the future of AI security
Read

How AppSec Teams Route Findings to the Right Code Owners Automatically

Security findings are harder to fix when ownership is unclear. Learn how automated routing improves AppSec remediation workflows.

Key Takeaways

  • 77% of organizations say figuring out who owns application security is a real challenge
  • 88% of CISOs say alert fatigue is directly stopping developers from fixing critical vulnerabilities
  • Findings with no clear owner die in backlogs. Routing fixes that
  • CODEOWNERS files, service tags, and pipeline metadata are the three main ways to map ownership automatically
  • Tools that tie findings to owners at the scan level cut remediation time significantly
  • Secure.com’s AppSec Teammate routes findings to the right team without manual triage workload

Introduction

A scan fires. A critical SQL injection lands in a shared inbox. Nobody knows who owns the affected service. A week later, it is still sitting there, unassigned.

That is not a technology problem. It is an ownership problem. And it kills more remediation efforts than any skill gap ever will.

AppSec Ownership Crisis

The real reason vulnerabilities stay unfixed

77%
of organizations struggle to identify code owners
88%
of CISOs say alert fatigue blocks critical fixes
95-98%
of AppSec alerts require no action
Source: State of ASPM 2024

Why Findings Never Get Fixed (It Is Not What You Think)

Most AppSec teams assume the bottleneck is too many vulnerabilities. The real problem is that findings have no address.

According to the State of ASPM 2024 report, 77% of organizations say understanding who owns application security is genuinely challenging. That number is striking because it means three out of four teams are playing the same guessing game every time a scan runs.

Research spanning over 101 million security findings across 178 organizations found that 95 to 98% of AppSec alerts do not require action.

Here is what the pattern usually looks like:

  • Scanner detects a vulnerability in auth-service/login.py
  • Finding lands in a central dashboard with no owner assigned
  • AppSec engineer manually tries to figure out which squad built it
  • The ticket gets created three days later
  • The developer receives it with zero context on what to fix or why it matters
  • Fix gets deprioritized because it came with a CVE dump, not a plain explanation

The fix is not more scanning. It is connecting findings to people before they hit any inbox.

The Hidden Cost of Manual Ownership Triage

According to Veracode’s State of Software Security 2024 report, 74% of organizations carry security debt, meaning unresolved flaws that have been sitting open for over a year.

That debt doesn’t pile up because developers can’t code. It piles up because no one ever told them the vulnerability existed, or the ticket arrived so late that it was buried under ten sprints of new work.

CVE databases identified 40,291 vulnerabilities in 2024 alone, up from just 6,494 in 2015. The Forum of Incident Response and Security Teams predicts between 41,000 and 50,000 new weaknesses will appear in 2025. Manually triaging ownership at that volume is not realistic.

The Three Ways AppSec Teams Map Findings to Code Owners

Getting from ‘vulnerability detected’ to ‘right developer notified’ requires a structured ownership layer that maps findings to accountable code owners. There are three proven ways to build it.

3 Proven Ways to Automatically Map Findings to Owners

📁

1. CODEOWNERS Files

  • File & directory level ownership
  • Native to GitHub/GitLab
  • No extra configuration needed
🏷️

2. Service Tags & Metadata

  • Works with microservices
  • Pipeline & IaC tags
  • Service catalog integration
🔗

3. SAST + DAST Correlation

  • Links runtime findings to code
  • Exact file & line attribution
  • Accurate owner routing

1. CODEOWNERS Files

A CODEOWNERS file tells your Git host who is responsible for specific files and directories in a repository. When a pull request changes files that match a pattern, the matching owners are automatically requested for review. On GitHub, the file can live at .github/CODEOWNERS, in the repository root, or in docs/.

The same logic applies to security findings. When a scan detects an issue in a file path, the tool can look up who owns that path in the CODEOWNERS file and route the finding directly to them.

This approach works well when:

  • Your codebase has clear file-level ownership already defined
  • Teams own specific services or directories with little overlap
  • You want routing to happen without a separate configuration layer

Platforms that use CODEOWNERS-based routing deduplicate findings across multiple scanners, enrich them with exploitability and runtime context, and then send only actionable items to the right owners using CODEOWNERS or component metadata.

2. Service Tags and Component Metadata

Not every codebase has a clean CODEOWNERS file. In microservices environments, ownership often lives in service catalogs, CI/CD pipeline configs, or infrastructure-as-code tags.

A routing workflow can use metadata to send findings to the right team automatically. If an issue is found in a service owned by the auth team, the workflow can use code ownership information or tags to assign the ticket and send a notification to the right channel.

This means tagging each service in your pipeline configuration with an owner field. When a scan produces findings, the automation reads the service tag, looks up the owner, and creates a ticket in Jira or a message in Slack with no manual step in between.

3. SAST and DAST Correlation to File-Level Attribution

One of the harder problems in AppSec routing is that dynamic scans find vulnerabilities in running applications. Those findings do not come with a file path attached.

By correlating verified dynamic findings with static results in a unified workflow, teams can confirm whether a vulnerability is exploitable, pinpoint the exact line of code responsible, identify developer ownership, and provide a clear remediation path.

When SAST and DAST results are linked, each dynamic finding gets traced back to the specific code file that caused it. Once you have the file, CODEOWNERS or service metadata can do the rest.

What Automatic Routing Actually Looks Like in Practice

Knowing the approach is one thing. Running it in a real pipeline is another. Here is how a working automatic routing setup looks end-to-end.

Step 1: Define Ownership Before the First Scan

Routing can’t be bolted on after the fact. Before any scan runs, every service needs a documented owner. This can live in a CODEOWNERS file, a service catalog entry, or a tag in the CI/CD configuration. It doesn’t matter which format you choose as long as it’s consistent and machine-readable.

Every service needs a documented owner in the pipeline. When a gate fires, the finding routes to that owner automatically, not to a security team inbox that becomes a bottleneck.

Step 2: Enrich Findings Before Routing

Not every finding deserves a ticket. Sending every raw CVE to a developer is a good way to train them to ignore AppSec notifications. Before routing, findings should be enriched with:

  • Whether the vulnerability is reachable in production
  • Whether the affected endpoint is customer-facing
  • Whether the CVE appears on active exploit lists
  • Severity tied to business context, not just CVSS score

Fix rates vary significantly depending on whether a vulnerability is reachable. Leaders fix reachable dependency findings at 92% versus 67% for non-reachable findings. Routing only enriched, reachable findings means developers see things that are worth their time.

Step 3: Route With Context, Not Just a Ticket Number

A finding that lands in a developer’s Jira without explanation gets ignored. A finding that includes the affected file, the reason it matters, and a plain-language description of the fix gets acted on.

When security teams can tie vulnerabilities to specific code owners from the start, remediation happens significantly faster—Secure.com’s AppSec Teammate reduces MTTR by routing findings with full context to the right developers. When no one owns the risk, it dies in the backlog. When no one owns the risk, it dies in the backlog.

The routing message should include:

  • The affected file and line number
  • What the vulnerability is in plain English
  • Why it is flagged as a priority
  • A suggested fix or remediation link
  • An SLA tied to severity

Step 4: Track Remediation Status Automatically

Routing is only half the job. If a finding gets assigned and then disappears into a backlog, the routing system failed. Closed-loop tracking checks that every routed finding either gets fixed, has a waiver approved, or gets escalated.

Only 21% of organizations believe both security and development teams share equal responsibility for fixing security defects. Automatic tracking creates accountability without requiring someone to chase tickets manually.

How Secure.com Makes This Work Without Building It From Scratch

Building automatic ownership routing from scratch takes weeks of engineering work, ongoing maintenance, and pipeline configuration across every repo. Secure.com’s AppSec Teammate handles that layer out of the box.

What the AppSec Teammate Does at the Routing Layer

Scan Correlation

  • Pulls findings from SAST, DAST, SCA, and IaC scans into one place
  • Deduplicates across tools so developers do not see the same issue four times
  • Correlates dynamic findings back to the exact file and line of code that caused them

Ownership Mapping

  • Maps findings to service owners automatically using CODEOWNERS files or service metadata
  • Works across microservices architectures where dozens of independent services have distinct owners
  • No manual lookup. No guessing which squad built the affected endpoint

Enrichment Before Routing

  • Each finding is checked for reachability before it goes anywhere
  • Asset criticality and exploitability context are attached at scan time
  • Only findings that actually matter reach a developer’s queue

Ticket Creation and Workflow Integration

  • Creates tickets directly in Jira and ServiceNow with plain-language fix guidance attached
  • Every routed finding includes an SLA tied to the severity tier
  • Two-way sync means ticket status updates reflect back in the AppSec dashboard automatically

No separate tool to configure. No manual triage step. No security team inbox acting as the bottleneck.

For teams that want to see what their current ownership coverage gaps look like before building anything, the Secure.com AppSec Teammate gives a mapped view of which services have owners and which do not.

You can also read more about building security gates that support this routing approach in the guide on AppSec security gates in CI/CD pipelines.

🔒
Secure.com
AppSec Teammate

Before vs After Automatic Routing

WITHOUT Automation
  • ✕ Findings dumped in shared inboxes
  • ✕ Manual owner lookup (days wasted)
  • ✕ Vague tickets with no context
  • ✕ Developers ignore or deprioritize
  • ✕ High alert fatigue & growing security debt
✓ WITH Secure.com AppSec Teammate
  • ✓ Automatic ownership mapping using CODEOWNERS + Service Tags
  • ✓ Findings enriched with reachability & exploitability
  • ✓ Plain English context + file path sent to right owner
  • ✓ Direct Jira / ServiceNow tickets with SLA
  • ✓ Two-way sync & closed-loop tracking
Significantly Reduced MTTR
No more manual triage • Only actionable findings reach developers
Secure.com AppSec Teammate — Route findings to the right code owners automatically

FAQs

What is the fastest way to start routing findings to code owners if we have no CODEOWNERS file set up?
Start with your highest-risk services. Identify the five to ten services that handle sensitive data or customer-facing functionality and add their owners to a CODEOWNERS file or service catalog first. You do not need full coverage before routing starts working. Even partial coverage cuts the most critical bottlenecks immediately.
Our developers ignore security tickets. Will better routing actually help?
Usually, yes. Most developers ignore tickets because they arrive with no context, no clear owner assignment, and no explanation of why the issue matters. When routing includes plain-language descriptions, affected file paths, and severity tied to business impact, response rates go up. The goal is to make acting on a finding easier than ignoring it.
How do SAST and DAST findings get routed to the same owner if they point to different things?
Good correlation tools map dynamic findings back to the static code that caused them. Once a DAST finding is traced to a specific file or function, the CODEOWNERS or service metadata lookup works the same way it does for SAST. The key is having a platform that correlates both signal types before routing, not after.
What happens when a service has multiple owners or shared code?
This is a real edge case and common in monorepos. The most practical fix is to designate a primary owner per service for security routing purposes, even if multiple teams contribute to the code. Shared ownership with no primary contact is functionally the same as no ownership at all when it comes to remediation.

Conclusion

Findings do not go unresolved because teams lack tools. They go unresolved because the findings never reach the right person.

Automatic routing is the layer that sits between detection and remediation. Get ownership mapping in place before the next scan runs. Enrich findings so only the ones that matter get routed. Send context, not just tickets.

The teams fixing vulnerabilities fastest are not the ones running more scans. They are the ones who know, instantly, which developer owns the vulnerable code and what needs to change.