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How SuperCharge Ingestion reduced SIEM ingestion costs and optimized Zscaler to Splunk pipelines.

Case Study

Cutting SIEM Ingestion Costs with SuperCharge Ingestion

Introduction

Organizations today face significant challenges with SIEM (Security Information and Event Management) solutions, particularly around licensing costs and data ingestion inefficiencies. As data volumes grow, the cost of SIEM licenses scales with it, putting continuous pressure on security budgets and tooling efficiency.

The Challenge

SIEM Licensing Costs

  • Most SIEM platforms charge based on data volume.
  • As ingestion grows, so do licensing costs, often becoming a major line item for security teams.

Inefficient Data Formats

  • Logs often arrive in inefficient formats such as JSON and key=value payloads.
  • These formats are expensive to ingest into SIEM platforms like Splunk because they increase storage and indexing overhead.
  • Inefficient ingestion leads directly to higher license and infrastructure costs.

Our Solution: SuperCharge Ingestion

SuperCharge Ingestion is a Cribl based solution built to optimize log streams before they hit your SIEM, delivering cost savings without sacrificing data value.

Data Ingestion Optimization

  • We reduce ingest volume by more than 30% in typical deployments.
  • Optimization is performed without dropping fields that matter, preserving analytical and security value.

Cost Savings

  • Lower ingestion volume translates to up to 40% savings on SIEM licensing.
  • Savings can be redeployed into detection engineering, threat hunting, or platform improvements instead of raw ingest.

Adaptability

  • Pipelines are schema-aware and automatically adapt to new fields.
  • No manual rework is required as vendors add attributes or evolve log formats.

Case Study: Zscaler to Splunk Optimization

A leading pharmaceutical company was pushing large volumes of Zscaler logs into Splunk. Daily ingestion was close to 800 GB, driving substantial recurring SIEM licensing costs.

Input Data

804.20 GB / day

Output Data

341.96 GB / day

Results

Zscaler NSS Logs CSV results chart

Example visualization of reduced Zscaler ingest after SuperCharge Ingestion optimization.

SuperCharge Ingestion reduced the daily Zscaler volume from 804.20 GB to 341.96 GB, which is approximately a 57.5% reduction in data volume. The customer achieved substantial cost savings on their Splunk license and infrastructure while retaining the same security and analytics value from the logs.

Conclusion

SuperCharge Ingestion provides a practical way to control SIEM costs without compromising visibility. By optimizing data formats, minimizing redundant payload, and automatically adapting to new fields, the solution delivers both financial and operational efficiency.

If you are looking to reduce your SIEM expenses and improve how logs land in Splunk or other SIEMs, SuperCharge Ingestion is built exactly for that use case.

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Updated on July 7, 2025