This UK-headquartered semiconductor and software enterprise builds chip architectures and system software used across industries including automotive, infrastructure, and telecom.

To support its global security operations, the enterprise adopted Microsoft Sentinel as its cloud-native SIEM. But with high-volume log sources like CloudTrail, Cisco ASA, Palo Alto, and Akamai, costs quickly spiraled. Integration required constant engineering effort. Meanwhile, low-value logs flooded the SIEM, degrading detection fidelity and analyst efficiency.

“We were spending more time fixing log pipelines than focusing on actual threats. Between integration gaps and volume overload, our team was stuck in constant catch-up mode.”

— Security Engineering Lead

Before deploying DataBahn, the enterprise’s security team was dealing with an increasingly fragile and costly data pipeline. High volumes of telemetry from diverse sources strained both infrastructure and budgets, while integration issues pulled time and focus away from threat detection.

High-Volume Sources and Integration Complexity
Log sources like CloudTrail, Cisco ASA, Palo Alto, and Akamai generated massive telemetry daily. Integration, especially for Akamai, relied on custom code and intermediate infrastructure, increasing operational fragility.

Noisy Data and Unpredictable Costs
Sentinel was ingesting large volumes of redundant or low-value data. This reduced SOC efficiency and led to unpredictable spikes in licensing and storage costs.

Fragmented Pipeline Infrastructure
Custom ingestion logic lacked resilience and required constant monitoring. Format inconsistencies and ingestion gaps made it hard to ensure reliability.

Expensive Retention Model
‍While full-fidelity logs were needed for compliance and audit, storing them in Sentinel proved costly and inflexible. The team needed a dual-storage model that didn’t compromise accessibility.

To scale securely, the team needed to simplify ingestion, reduce SIEM and storage costs, and improve visibility without adding engineering overhead.

They needed a solution that could:

· Ingest data from all sources without custom coding

· Reduce data volume without losing relevant events

· Enable dual-routing for real-time vs compliance storage

· Improve alert quality and SOC efficiency

· Lower engineering and maintenance effort

“We needed a way to cut noise without cutting context. Something that could help us route the right data where it belonged, without adding more work.”

— Director of Cybersecurity

To reduce cost, simplify ingestion, and improve downstream reliability, the team deployed DataBahn across their security pipeline, seeing impact within just two weeks.

2-Week Deployment
DataBahn was deployed across the security pipeline within two weeks. No rearchitecture or code rewrites were needed.

Seamless Ingestion from Key Sources
CloudTrail, Cisco ASA, Palo Alto, and Akamai logs were onboarded without custom scripting. Using DataBahn’s 500+ plug-and-play connectors to streamline onboarding across these and future sources.

80% Volume Reduction
Our 900+ prebuilt rule sets enabled the enterprise to filter heartbeat signals, status codes, and redundant telemetry, cutting Sentinel-bound volume by 80%.

Projected $335K in Annualized Savings
Volume suppression and dual-routing drove down licensing and storage costs, with projected annual savings of $335K.

Smarter Routing with Dual Storage
High-value logs went to Sentinel, while full-fidelity logs were forked to blob storage, maintaining audit compliance without cost overhead.

SOC Efficiency Gains
With cleaner data flowing into Sentinel, triage quality improved and ingestion issues dropped. New sources could be added through simple config changes.

DataBahn's Solution

· Normalize and route logs from any source

· Use pre-built filters for noise suppression

· Dual-write architecture for cost-efficient compliance

· 500+ Plug-and-play connectors to setup integrations of Microsoft and Non-microsoft sources in hours

With DataBahn as the control plane, the team redesigned how security data moved across tools, enabling long-term gains in stability, scale, and speed.

· Predictable and Efficient Ingestion: The team gained full control over what entered Sentinel, avoiding surprise cost spikes.

· Resilient Infrastructure: Custom ingestion code was replaced with fault-tolerant connectors, reducing operational risk.

· Flexible Long-Term Retention: Compliance needs were met without locking all data into expensive SIEM storage.

· Improved SOC Workflows: With cleaner inputs, analysts triaged faster, with fewer false positives and alert noise.

“We didn’t expect results this fast. Within weeks, costs dropped, alerts improved, and our engineers weren’t chasing ingestion bugs anymore.”

— Security Operations Manager

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Conclusion

With growing costs, ingestion complexity, and noisy data pipelines, the enterprise needed more than just another SIEM tuning effort. DataBahn gave them the ability to reduce data volumes without sacrificing fidelity, ingest from critical sources without brittle custom code, and route data intelligently to meet compliance and operational needs. The result: a cleaner, more resilient pipeline, cost savings of over $335K, and a SOC that could finally focus on real threats—not ingestion issues.