# Vulnerability Remediation with Tenable + Jira + Vanta: A Connected Workflow | Attri Edge

Home Articles Vulnerability Remediation with Tenable + Jira + Vanta: A Connected Workflow Pillar deep dive Vulnerability Remediation with Tenable + Jira + Vanta: A Connected Workflow Step-by-step architecture for connecting vulnerability scanning (Tenable, Snyk, AWS Inspector) to engineering tickets (Jira, Linear) to compliance evidence (Vanta, Drata). By Hemant Attri , Founder, Attri Edge · July 12, 2026 · Updated July 12, 2026 · 2 min read A vulnerability scan that doesn’t auto-create an engineering ticket is a vulnerability scan that gets ignored. Here’s the connected architecture that turns findings into closed, evidenced fixes, the concrete build behind the vulnerability remediation pillar . The three-system architecture Three layers, each doing one job: the scanner (Tenable/Snyk/AWS Inspector) finds vulnerabilities; the ticketing system (Jira/Linear) drives the fix and holds the SLA clock; the GRC platform (Vanta/Drata) stores audit evidence. The integrations connect them so a finding flows automatically to a tracked, evidenced closure. Tenable / Snyk / AWS Inspector setup Configure scanners to run on a schedule and on change, scoped to production and customer-data systems. Normalize severity across scanners so your SLA mapping is consistent. Tag findings with the owning service so routing works downstream. Jira automation rules The core of the system. Rules: create a ticket per new finding; set priority and due date from severity (Critical 7 / High 30 / Medium 90 days); route to the owning team; escalate as the due date nears; and reopen if a rescan still finds the issue. This is where the 7/30/90 SLA is actually enforced. Vanta evidence sync-back On closure (verified by rescan), sync the result back to the GRC platform as evidence: the finding, the ticket, the fix, the rescan, the timestamps. This produces the audit-defensible chain that screenshots can’t, see chain-of-custody evidence . Notifications and escalations Slack alerts to owning engineers on assignment and approaching SLA; escalation to the lead on breach; a weekly digest of open findings by severity. Notifications turn a passive dashboard into an active operation. Dashboards for monitoring One dashboard: open findings by severity, closure rate within SLA, aging findings and exceptions. This drives the weekly triage and the monthly board report. Where Attri Edge fits We build this connected workflow and run the weekly cadence on top of it. The diagnostic assesses your current scan-to-closure pipeline and what it would take to connect it. Related reading: Building a Vulnerability Remediation Workflow The Compliance Automation Gap Frequently asked questions Why three systems instead of one? Each does one job well: the scanner finds, the ticketing system drives engineering work and holds the SLA clock and the GRC platform stores audit evidence. One system trying to do all three does none of them well, especially the engineering accountability part. Can we use just GitHub Issues? For smaller teams, yes, GitHub Issues plus Actions can replace Jira for ticketing and SLA automation. The three-layer pattern still holds: scanner → issues → evidence. Scale and process maturity decide whether you need Jira/Linear. Tools comparable to Tenable for cloud-native? Snyk (code/dependencies), AWS Inspector and GCP/Azure equivalents (cloud infrastructure), Wiz/Orca (cloud posture). The architecture is scanner-agnostic; swap Tenable for whatever fits your stack. Maintenance burden of this architecture? Moderate once built, mainly tuning automation rules, suppressing false positives and watching the dashboard. The weekly operating cadence (triage, follow-up) is the real ongoing work, which is what a retainer covers. Talk to the operator This article is one slice of the work Attri Edge does for US SaaS companies with India GCCs. If your situation needs the full operational layer, start with a 90-minute diagnostic. Book your $999 diagnostic