Bonus Question: Are network monitoring and alerting systems continuously tuned to detect anomalies or unauthorized changes?

Why This Matters

Monitoring ensures infrastructure health and rapid detection of deviations. Continuous tuning reduces alert fatigue and improves detection fidelity.

Maturity

0 — Unaware
No proactive network monitoring.

1 — Ad Hoc
Basic SNMP or ping monitoring only.

2 — Defined
Network performance and availability dashboards established.

3 — Managed
Alerts linked to incident response workflows.

4 — Integrated
Behavioral and anomaly-based alerting implemented.

5 — Optimized
AI-driven analytics predict and prevent disruptions.

How to Level Up

| From → To | Actions | |—|—| | 0 → 1 |Deploy monitoring tools and define key metrics.|
| 1 → 2 |Set performance baselines and thresholds.|
| 2 → 3 |Integrate alerts with IR ticketing system.|
| 3 → 4 |Enable anomaly-based analytics.|
| 4 → 5 |Apply ML for predictive alerting.|

Enablers

People: NOC Analyst, SOC Engineer
Process: Detect → Correlate → Respond
Technology: SNMP, NetFlow, AIOps platforms

Evidence

Alert configuration exports
Incident tickets and response times
Tuning or false-positive reports

KPIs

Mean time to detect anomalies
Alert-to-incident conversion ratio
Percentage of false positives reduced quarterly

Low-Cost / Open-Source Options (MSME)

Common Pitfalls

Excessive untriaged alerts
No feedback loop for tuning
Alert fatigue causing missed incidents

Compliance Mapping