Case Study – Retail
Threat-led SIEM transformation delivers 85% cost savings for international retailer
DOWNLOAD THE PDFAbout the client
The client is a leading retailer with more than 1,000 stores across North America. With a large digital footprint spanning e-commerce, point-of-sale, and supply chain operations, the company faces constant exposure to data theft, ransomware, and compliance-driven risks. To consolidate and modernize its security stack, the retailer embraced Microsoft’s security suite to build a cloud-native approach.
The client’s challenge
The client had struggled with fragmented SIEM environments, having tried five different solutions over a decade. These legacy setups increased costs while creating blind spots that delayed detection and response. As the company prepared to migrate from on-premises Splunk to a Microsoft Sentinel cloud-based environment, their key goals were to:
- Reduce infrastructure and ingestion costs while maintaining visibility into high-priority risks
- Build an optimized SIEM that prioritized relevant threats over noise
- Gain self-sufficiency through expert training, ensuring in-house teams could sustain and evolve the system without external reliance
Benefits
- 85% cost reduction with threat-focused design: A cloud-native SIEM architecture cut ingestion, retention, and licensing costs while ensuring visibility into high-priority risks and exposures.
- Autonomy with resilience: Through expert-led workshops and training, the client’s team gained the skills to manage and optimize the SIEM independently, while maintaining control of detection, compliance, and exposure management.
- Streamlined risk signal management: An intelligent data layer leveraging Cribl and Sentinel prioritized meaningful security telemetry for SIEM ingestion while archiving lower-value data, reducing noise and improving detection accuracy.
- Consolidated visibility and control: The business now has a future-ready security stack that provides complete transparency across units, reduces blind spots, and strengthens resilience against retail-targeted threats.
Our solution
CyberProof worked closely with the client to design and implement a successful migration from Splunk to Microsoft Sentinel, ensuring the transformation improved visibility while reducing exposure and costs. The engagement began with hands-on workshops and ongoing consultancy that guided the client’s team through every stage of the migration.
Key elements included:
- Cloud-native architecture: Deployment of a cost-optimized SIEM design using Microsoft Sentinel, with a custom forwarding solution to ensure efficient data flow.
- Smart data management: An intelligent ingestion layer leveraging Cribl and Sentinel prioritized meaningful security telemetry for the SIEM, while archiving other data in a data lake for compliance and forensic purposes.
- Detection engineering at scale: Translation of 264 detection rules from Splunk SPL to Sentinel KQL, alongside real-time attack scenario queries aligned to adversary TTPs.
- Training and knowledge transfer: In-depth coaching and daily collaboration empowered the client’s internal team to independently maintain and optimize the system after the migration.
- Preserving compliance and IP: CyberProof enabled the client to re-implement critical compliance reports (e.g., PCI DSS, SOX) within Sentinel, protecting decades of investment in reporting and intellectual property.
Business Impact
The transformation delivered an 85% reduction in SIEM data costs while maintaining visibility into critical risks. Noise was reduced through smarter ingestion, which sharpened detection accuracy and reduced blind spots. By combining cost efficiency with a threat-led approach to detection engineering, the client strengthened compliance readiness, reduced exposure windows, and gained the autonomy to sustain a resilient, cloud-native SOC well into the future.
Explore how CyberProof can help you anticipate, prevent, and mitigate ever-evolving cyberattacks in hybrid and cloud-native environments.
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Explore how CyberProof can help you anticipate, prevent, and mitigate ever-evolving cyberattacks in hybrid and cloud-native environments.