Noise Filtering & Optimization

Intelligent filtering, deduplication & cost optimization

Cached Data

Noise Removed

68%

of total volume

Duplicate Events Removed

42%

exact & near-duplicates

Repetitive Low-Value

31%

heartbeats, health checks

Actionable Events Ratio

22%

requiring SOC attention

SIEM Alert Load Reduction

38%

fewer alerts generated

Cost Avoidance (Noise)

1.2M€

per year

Noise Filtering Funnel

Raw Logs(All incoming syslog, Windows, network)

12.5M

100%

Pre-Processing(Initial parsing, timestamp normalization)

11.9M

95%

Normalization(OCSF mapping, field extraction)

11.2M

89%

Filtering(Dedup + ML scoring + rule filters)

4.3M

34%

SIEM Output(High-value, actionable events)

3.4M

27%

Net Noise Reduction

Only 32% reaches SIEM

68%

Noise by Category

Duplicate Events

2.9M28%

Heartbeat/Health Checks

2.1M21%

Low-Value Telemetry

1.8M18%

ML-Filtered Noise

1.4M14%

Unparseable Events

1.0M10%

Out-of-Scope Telemetry

920K9%

Unparseable and Out-of-Scope events are filtered early in the pipeline to reduce downstream processing load.

Top Noisy Sources

Source	Events Dropped	Noise Rate	Category	Status
windows-dc-01	300K	78%	Heartbeat	Filtered
firewall-palo-02	220K	65%	Debug	Filtered
proxy-squid-01	180K	71%	Duplicate	Filtered
dns-bind-01	150K	58%	Out-of-Scope	Filtered
endpoint-agent-fleet	120K	45%	Unparseable	Filtered

SIEM & Correlation Impact

1.2B

Events/Day to SIEM

38% reduced

+42%

Correlation Performance

faster searches

2.4 TB

Storage Saved

per month

68%

Correlation Rule Load

reduction

+23%

Correlation Accuracy Gain

improved detection