Triage & Remediation Workflow
Collaborate with researchers, set severity, and close the loop with engineering teams quickly.
10 min readUpdated Oct 8, 2025For Organizations
Triage & Remediation Workflow
Efficient triage keeps researchers engaged and your stakeholders confident. NidFul’s workflow mirrors NidFul's proven model with enhancements for distributed African teams.
Submission Lifecycle
- Received – Report enters the inbox with initial metadata (severity estimate, affected asset).
- Acknowledged – Automation sends a personalised thank-you to the researcher.
- Triaged – Analyst validates the issue, assigns severity, and gathers extra context.
- Assigned – Ticket syncs to your engineering or operations queue.
- Resolved – Fix deployed and awaiting verification.
- Verified & Closed – Researcher confirms remediation and bounty decision is communicated.
Triage Best Practices
- Reproduce Quickly – Keep test environments that mirror production for safe validation.
- Communicate Clearly – Reply to researchers within the promised SLA, even if only to request more data.
- Label Consistently – Use severity tags (Critical, High, Medium, Low) and add affected product, platform, and vulnerability class.
Local context matters
Ask researchers how the issue could be abused considering regional payment flows, telco regulations, or government services. This often raises severity appropriately.
Collaboration Tools
- Inline comment threads keep conversations transparent.
- Attachments support logs, patches, or exploit proof-of-concepts.
- Internal notes let your team discuss without notifying the researcher.
Engineering Handoffs
- Sync reports to Jira, Linear, or Azure DevOps with status mirroring.
- Include CVSS vector, exploitability notes, and suggested remediation.
- Set due dates based on severity-driven SLAs.
Verification & Closure
- Request researcher validation once a fix deploys.
- Provide changelog snippets or commit references when available.
- Offer partial payouts if impact is mitigated but not fully resolved.
Post-Incident Learning
- Update playbooks with new detections or mitigations.
- Share anonymised findings during internal retrospectives.
- Tag root causes to spot systemic issues across services.
Ready to demonstrate success? Continue with Analytics & Reporting for stakeholder dashboards and executive summaries.