Immediate Payback Justification
Reduction in Mean Time To Contain (MTTC) a security incident.
Reduction in false-positive security alerts, minimizing analyst fatigue.
Compliance logging of all mitigation and containment actions.
1. Current State (As-Is): The Slow, Manual IR Loop
The initial process required human analysts to manually verify, score, and initiate containment actions for every high-severity alert, confirming an average MTTC of 4 hours.
| Manual Alert Correlation | Analysts struggled to correlate related alerts across different security tools, slowing down root cause analysis. | 30-60 minutes delay in establishing incident context; high risk of missed threats. |
| Human-Gated Containment | Containment actions (e.g., firewall changes, endpoint isolation) required manual approval and execution, wasting critical time. | High latency between detection and mitigation, maximizing threat dwell time. |
2. Future State (To-Be): The 36-Minute AI Optimized Blueprint
The Dragon1 AI BPMN Process Architect generated the Future State model, embedding AI scoring and automated playbooks, achieving an 85% reduction in MTTC.
| AI Threat Scoring & Triage | ML models automatically ingest alerts, correlate events, and assign a priority score, instantly isolating the most critical alerts. | Eliminated initial human triage and reduced false positives by 60%. |
| Automated Containment Execution | For high-certainty threats, the process automatically triggers pre-approved security automation (SOAR) playbooks. | Containment executed within minutes, drastically reducing threat dwell time. |