Managing Findings at Scale

Large enterprises generate millions of SCA findings requiring intelligent management. Implement automated triage reducing manual review burden. Machine learning models trained on historical data identify likely false positives. Reachability analysis eliminates findings for unused code paths. Environmental context filters findings based on deployment characteristics. Automated triage can reduce manual review requirements by 80-90%.

Create centralized dashboards providing enterprise-wide visibility. Executive dashboards show trending metrics and risk exposure. Team dashboards focus on actionable findings for specific applications. Security dashboards aggregate findings for threat analysis. Compliance dashboards demonstrate policy adherence. Role-based views ensure stakeholders see relevant information without overwhelming detail. These dashboards transform raw data into actionable intelligence.

Establish SLAs (Service Level Agreements) for vulnerability remediation based on severity and application criticality. Critical vulnerabilities in production require immediate response. High severity issues might have 7-day SLAs. Medium severity allows 30-day remediation. Track SLA compliance by team and application. Automated notifications escalate overdue items. Clear SLAs set expectations while providing flexibility for different risk levels.