Manual CSV exports
Security teams spend hours copying findings into Jira by hand. By the time tickets exist, the data is stale and context is lost.
Workflow Orchestration for Security Teams
Turn vulnerability noise into
tracked engineering work
MendMesh sits between your security scanners and your engineering tools. It ingests findings, assigns ownership, groups duplicates, creates tickets, and enforces SLA deadlines — automatically.
50→1
findings grouped into one task
7 days
critical SLA enforced automatically
0 exports
manual CSV exports required
The Problem
Security tools find vulnerabilities.
Nobody fixes them.
The gap between scanner output and engineering action is where risk lives.
No clear ownership
Scanners report on repos and AWS accounts, not teams. Nobody knows who owns the finding, so nobody fixes it.
SLA blindness
Critical vulnerabilities sit open for months. There's no enforcement, no escalation, and no audit trail when compliance asks what happened.
Features
Everything the pipeline needs.
Nothing it doesn't.
Findings Ingestion
Pull or push from GitHub Security Alerts, Snyk, AWS Inspector, and Trivy. Normalised into a single schema regardless of source.
Ownership Engine
Configurable rules map repos, services, k8s namespaces, and AWS accounts to teams. Fallback to unassigned when no rule matches.
Intelligent Grouping
Clusters findings by team, package, and fix version. Turns hundreds of scanner alerts into a handful of actionable remediation tasks.
Ticket Orchestrator
Creates tickets in Jira or GitHub Issues with full vulnerability context. Bi-directional sync — tickets auto-close when the scanner confirms the fix.
SLA Tracking
Configurable SLAs for your organization. Critical: 7 days. High: 14 days. Medium: 30 days. Low: 90 days. Automatic escalation and compliance reporting when deadlines are missed.
Unified Dashboards
Security teams see global risk and SLA compliance. Engineering teams see their own queue. Both views update in real time.
How It Works
From scanner alert to closed ticket,
fully automated
-
Ingest
Pull findings from GitHub Security Alerts, Snyk, AWS Inspector, and Trivy via API or webhook. Every finding is normalised into a common schema.
-
Assign Ownership
Configurable rules map repos, services, Kubernetes namespaces, and AWS accounts to engineering teams. No manual triage.
-
Group & Deduplicate
50 log4j findings across 3 services become one task: "Upgrade log4j to 2.17.0 in payments services." Engineers see work, not noise.
-
Create & Track Tickets
Tickets are created in Jira or GitHub Issues with full context. They auto-close when the scanner confirms the fix. SLA deadlines are enforced throughout.
Integrations
Works with the tools
your teams already use
Security Scanners
- GitHub Live
- Snyk Soon
- AWS Inspector Soon
- Trivy Soon
- Wiz Soon
Work Trackers
- Jira Soon
- Linear Soon
- GitHub Issues Soon
- GitLab Issues Soon
Use Cases
Built for every team
in the remediation chain
Security Team
- Import findings from multiple scanners in one place
- Automatically assign remediation responsibility to the right team
- Track SLA compliance across the entire organisation
- Run coordinated remediation campaigns (e.g. Log4Shell)
- Generate compliance reports without manual data collection
Engineering Team
- Receive grouped, actionable tasks — not raw scanner dumps
- Work in the tools you already use
- Understand exactly why a vulnerability matters and how to fix it
- Tickets auto-close when the scanner confirms the fix
- See only your team's queue, not the entire organisation's noise
Platform Team
- Define ownership rules mapping services and namespaces to teams
- Maintain a single source of truth for infrastructure ownership
- Reduce alert noise reaching engineering teams by 90%+
- Support both k8s namespace and AWS account-based ownership
- Onboard new teams without changing scanner configuration