
During their two-month engagement, Swaggone enhanced incident analytics for the threatgrid/ctia repository by developing robust time tracking features using Clojure. They refactored status handling logic, replacing brittle set checks with regex-based recognition to ensure accurate interval calculations across incident statuses. Swaggone introduced a new interval type to measure containment times and added a Mean Time to Contained dashboard tile, improving real-time visibility into incident response. Their work involved backend development, API design, and data modeling, updating entity definitions and dependencies to support new metrics. The solutions delivered reliable time-based analytics, aligning incident tracking with operational objectives and SLOs.

June 2025 monthly summary for threatgrid/ctia: Delivered a foundational enhancement to incident analytics by introducing a new interval type and MTTC visibility, enabling better containment tracking. No major bugs fixed this month. The changes improve incident response visibility, align metrics with SLOs, and lay groundwork for further MTTC optimization.
June 2025 monthly summary for threatgrid/ctia: Delivered a foundational enhancement to incident analytics by introducing a new interval type and MTTC visibility, enabling better containment tracking. No major bugs fixed this month. The changes improve incident response visibility, align metrics with SLOs, and lay groundwork for further MTTC optimization.
February 2025 (2025-02) monthly summary: Delivered Incident Time Tracking Enhancement for threatgrid/ctia to improve interval calculations across New/Open/Closed statuses, with refactored status handling and regex-based recognition to replace brittle set checks; ensuring accurate recording of status changes in incident_time for reliable time-based analytics.
February 2025 (2025-02) monthly summary: Delivered Incident Time Tracking Enhancement for threatgrid/ctia to improve interval calculations across New/Open/Closed statuses, with refactored status handling and regex-based recognition to replace brittle set checks; ensuring accurate recording of status changes in incident_time for reliable time-based analytics.
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