CxO Briefing: Cybersecurity & Threat Intelligence
85% Faster Threat Containment via Automated Playbooks
Cybersecurity Threat Intelligence Process
The Dragon1 AI BPMN Process Architect transformed Incident Response (IR) by automating triage, threat scoring, and containment playbooks, drastically collapsing Mean Time to Contain (MTTC).
1. Current State (As-Is) - Manual Incident Triage
4 Hours MTTC | High Alert Fatigue
2. Future State (To-Be) - AI-Driven Containment
36 Minutes MTTC | Automated Endpoint Isolation
Immediate Payback Justification
85% Modeling Efficiency: The Cost of Doing Nothing
85%
Reduction in Mean Time To Contain (MTTC) a security incident.
60%
Reduction in false-positive security alerts, minimizing analyst fatigue.
Automated
Compliance logging of all mitigation and containment actions.
The Enterprise Result: Transformation Metrics
85%
Faster Mean Time to Contain (MTTC).
Directly reduces the blast radius and potential cost of a security breach.
Proactive
AI-Driven Anomaly Detection.
AI monitors baselines and identifies zero-day threat behaviors faster than rule-based systems.
Governance
100% Policy-Driven Automated Response.
The documented BPMN model ensured that every automated containment action was pre-approved and auditable according to policy.
Detailed Process Comparison: Before and After AI
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. |