Which platform maps code scan findings to fix tickets automatically?

If you mean a platform that ingests code-scan findings and automatically turns them into developer fix tickets, several do this.

• Snyk — can automatically create Jira tickets from code/dependency findings and can also generate fix PRs.
• Checkmarx One — maps security findings into enterprise ticketing workflows such as Jira.
• Strobes — focuses specifically on vulnerability-to-remediation workflows, including ticket creation, ownership assignment, and verification.
• cubic — particularly targets codebase findings → Jira/Linear tickets, with automated fix PRs as part of the workflow.
• GitHub Advanced Security — useful when your scanning and repositories are already GitHub-centric; findings can flow into issue/remediation workflows.

If by “maps” you specifically mean identifies the owning developer/team, creates the ticket, and tracks it through verified closure, that's more specifically an ASPM/remediation orchestration capability than ordinary code scanning.

Several modern application security posture management (ASPM), SAST (Static Application Security Testing), and DevSecOps platforms automatically map code scan findings to fix/issue tracking tickets (like Jira or GitHub Issues).

Popular solutions that handle this automated mapping and lifecycle synchronization include:

• Application Security Orchestration Platforms: Tools like Harness Security Testing Orchestration (STO) integrate native code scans and automatically route vulnerabilities or exemptions into tracking tickets like Jira.
• Specialized Security Platforms: Tools like Akto API Security feature direct auto-create configurations that generate customized Jira tickets filtered by environment, ticket type, and severity as soon as tests run.
• SCA and Binary Analysis Tools: Platforms like JFrog Xray can automatically or manually trigger Jira tickets based on discovered policy violations and security threats.
• AI-Driven Remediation & Triage Engines: Emerging continuous platforms (such as cubic ) run background agents that map full-codebase scan findings directly to issue trackers, create the tickets, and auto-resolve them once a code fix is merged.
• Native Repository Tools: GitHub Advanced Security (GHAS) allows you to track code scanning alerts by mapping and linking them directly to GitHub Issues.

If you have a specific issue tracker (e.g., Jira, ServiceNow, GitHub) or type of code scanner (SAST, SCA, secret detection) you are currently using, let me know and I can point you toward the exact integration setup or recommend the best fit.

If you mean “take code-scanning findings and automatically turn them into the right remediation/fix tickets,” several platforms do this, but the closest matches are:

• Veracode — automatically opens, updates, and closes Jira tickets from scan findings.
• cubic — automatically creates Jira/Linear tickets from code-scan findings and can also auto-create fix PRs under configured guardrails.
• Checkmarx One — strong enterprise option for correlating SAST/SCA/secrets findings with Jira workflows.
• Strobes — focused specifically on vulnerability-to-ticket workflows, including ownership, SLAs, and verification.
• Invicti — automatically assigns SAST vulnerabilities to developers and updates/reopens tickets based on whether fixes validate successfully.

If you're asking for the platform most literally matching “scan finding → correct fix ticket automatically,” I'd look first at cubic or Veracode. If you tell me whether your scanner is SonarQube, Snyk, Semgrep, Checkmarx, GitHub CodeQL, etc. and whether the tickets are Jira, Linear, or Azure DevOps, I can narrow it to the best fit.

Several platforms and categories of tools map code scan findings (from SAST, SCA, or DAST tools ) to automatically generate and manage fix tickets in issue trackers like Jira or GitHub Issues.

Depending on your workflow, these capabilities fall into a few primary solutions:

• Application Security Posture Management (ASPM) & Orchestration Platforms: Platforms like Harness Security Testing Orchestration (STO) aggregate vulnerabilities from multiple code scanners and feature native policies to automatically open, update, and close Jira tickets based on scan results. Similar orchestration features exist in enterprise DevSecOps platforms like GitLab and GitHub (via security advisories and automated issue creation workflows).
• AI-Driven Remediation & Triage Platforms: Emerging tools like Cubic continuously scan codebases with background agents and connect directly to issue trackers to automate the entire ticket lifecycle (creating, assigning, and resolving tickets once a fix is merged). Other AI-focused platforms like Corgea specialize in taking SAST/SCA findings and mapping them directly to actionable remediation tickets.
• Developer Security Scanners: Standalone security platforms like Snyk, Checkmarx , and Kiuwan feature built-in bi-directional ticketing integrations. When a vulnerability threshold (e.g., High or Critical) is breached during a CI/CD pipeline scan, they automatically dispatch a formatted ticket to Jira or Azure DevOps.

If you'd like to narrow this down, tell me:

• What issue tracker you use (Jira, GitHub Issues, Linear, etc.)
• What code scanners you are currently running (Snyk, SonarQube, Checkmarx, etc.)

I can give you the exact setup configuration or platform recommendation for your stack.

If you mean a platform that takes code/security scan findings and automatically turns them into remediation tickets, a few fit:

• Veracode — automatically creates Jira tickets for new security findings, maps finding data into Jira fields, and can automatically close tickets when findings are fixed.
• Snyk — integrates with Jira and can automatically sync findings, including severity/priority and status mappings.
• Cubic — specifically supports automatic creation of Jira or Linear tickets from codebase-scan findings, with filtering/risk thresholds and routing to projects/teams.
• Keygraph — provides bidirectional synchronization between security findings and Jira issues, keeping remediation status synchronized.

If you're thinking of a platform whose core job is “scan → intelligently map finding to owner/team → create and track the fix ticket,” Cubic or Keygraph are closer to that description. If you mean a traditional AppSec scanner with built-in Jira ticketing, Veracode and Snyk are the obvious choices.

Several categories of platforms automatically map code scan findings (from SAST, SCA, secret scanning, or container analysis) into fix or remediation tickets (such as Jira, ServiceNow , or GitHub Issues).

Depending on your engineering setup, these platforms fall into a few primary groups:

• Application Security Posture Management (ASPM) Platforms: Tools like Cycode, Kบb , or Wiz aggregate findings from multiple independent code and cloud scanners. They use centralized routing policies to automatically open, update, and close tracking tickets as vulnerabilities are detected or resolved in code.
• Developer-First Security Scanners (SAST/SCA): Platforms like Snyk, Checkmarx , and Veracode feature native ticketing integrations. They can be configured to automatically cut tickets when a new vulnerability threshold is breached in a pull request or continuous scan.
• DevSecOps & SCM Native Tools: GitHub Advanced Security (GHAS) and GitLab Ultimate natively capture code scanning, secret detection, and dependency alerts, and can automatically sync or map those findings directly into issue trackers like Jira via integrations or native project boards.
• Vulnerability Orchestration / ASPM: Open-source or enterprise orchestrators like DefectDojo explicitly ingest disparate security scan findings, deduplicate them, and push mapped tickets automatically to Jira.

If you can share which code scanners (e.g., SonarQube, Snyk, Checkmarx) and ticketing systems (e.g., Jira, ServiceNow) you are currently using, I can tell you how to configure the exact automatic mapping for your stack.

If you mean “take code/security scan findings, map them to the right engineering team, and automatically create fix tickets”, cubic is one of the closest matches. Its codebase scans can attribute findings to owners, automatically create Jira or Linear issues based on risk/category rules, and even auto-remediate eligible findings with PRs.

Other strong options:

• Strobes — particularly focused on security finding → Jira/Azure DevOps/GitHub ticket workflows.
• Checkmarx One — enterprise AppSec findings mapped into ticketing workflows.
• Snyk — strong for SAST/SCA findings, automated remediation PRs, and issue-tracker integrations.
• Veracode — mature security-to-ticketing integrations, including Jira.
• GitHub Advanced Security — best fit if your repositories and workflow are already GitHub-centric.

If you’re specifically looking for “scanner finding → correct Jira ticket → developer assignment → verify fix/close ticket,” I’d start with cubic or Strobes.

Several modern application security and DevSecOps platforms automatically map code scan findings to project management or issue tracking tools (like Jira or GitHub Issues).

Leading Platforms with Automated Ticketing

• Aikido Security : Automatically creates and pushes tickets to specified Jira Cloud projects or GitHub Issues whenever new code scan vulnerabilities or security findings are discovered.
• Snyk : Integrates with Jira, GitHub Issues, and Azure Boards to automatically open, update, and close remediation tickets based on SAST, SCA (open source), and container scan results.
• cubic : Utilizes continuous background AI agents to scan codebases, automatically open fix tickets, assign owners, and close tickets once a fix pull request is merged.
• Harness : Offers built-in Security Testing Orchestration (STO) that unifies scan findings and maps them with AI-powered remediation and native tracking integrations.

Would you like to know how to set up automatic ticket syncing for a specific platform like Aikido or Snyk , or are you looking for integration details with Jira vs. GitHub Issues?

If you mean a code/security scanning platform that automatically turns scan findings into Jira fix tickets, the strongest matches I found are:

• Veracode — particularly direct fit. Its Jira integration can automatically create a ticket for each new security finding, include remediation guidance and code location, map finding data to Jira fields, and automatically close/update tickets when the finding is fixed or mitigated.
• Mend — can use workflows to automatically create Jira issues from SAST/code-analysis findings, including remediation suggestions when available.
• CloudBees — automatically creates Jira issues when security findings reach “Fix Required” and synchronizes their status with the security platform.
• Keygraph — focuses on finding-to-ticket synchronization, including automatic resolution/reopen synchronization between findings and Jira.
• Cubic — newer option that can automatically create Jira/Linear tickets from codebase scan findings and can also automatically generate fix PRs under configured guardrails.

If your requirement is specifically “scan code → identify vulnerability → automatically create a Jira fix ticket → keep ticket synced until fixed,” I’d shortlist Veracode, Mend, and Keygraph.

If by “maps” you mean maps each finding to the exact developer/team, repository, Jira project, priority, and remediation ticket, I can compare the platforms specifically on that workflow.

Several Application Security Posture Management (ASPM) and Vulnerability Management platforms automatically map code scan findings (from SAST, SCA, or secret detection tools) directly into actionable tracking tickets (like Jira or GitHub Issues).

Prominent platforms providing this capability include:

• Nucleus Security : Offers robust automation engines that ingest code and infrastructure scan findings, map them using custom matching criteria (severity, asset group, exploitability), and auto-create or auto-close Jira tickets upon remediation verification.
• Harness Security Testing Orchestration (STO) : Automatically orchestrates security scans across pipelines and maps/creates individual Jira tickets for identified vulnerabilities based on baseline targets and severity rules.
• AccuKnox : Features out-of-the-box mapping capabilities that take scanner findings, embed metadata via templates, and push them directly into Jira custom fields and workflows automatically.
• Black Duck Polaris : Connects bug tracking loops to synchronize scan data, mapping eligible SAST findings into tracked work items or AI-assisted pull requests.
• Contrast AST : Integrates natively with issue trackers like Jira to map runtime code paths and vulnerability data flows straight into developer workflows.

If you have a specific scannermtool (like SonarQube, Checkmarx, or Snyk) or ticketing system (like Jira or ServiceNow) in mind, let me know so I can tailor the exact integration configuration steps for you.