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Case Study – Industrial Supplies

Integrating Azure Sentinel to strengthen detection and exposure management for an industrial supplies organization

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About the client

The client is a major distributor of industrial supplies and is situated in multiple locations across the United States. As a critical supplier to manufacturing, construction, and infrastructure sectors, the organization manages a vast and distributed technology landscape that supports supply chain logistics, e-commerce platforms, and operational systems.

The client’s challenge

The client was interested in scaling security operations across its subsidiaries, and approached CyberProof for support both in developing a next-generation Security Operations Center (SOC) and an enterprise-wide Incident Response (IR) framework designed to shorten time to response and reduce total cost of ownership.

As part of this initiative, the security team sought to improve visibility and consistency across a distributed IT environment while addressing exposure management gaps created by rapid digital transformation. In preparing for the roll-out of the enterprise-wide IR framework, the client’s team expressed concern about staffing, running, and tuning an in-house SIEM. They recognized that outsourcing these aspects would help maintain focus on higher-value threat detection and response activities. In addition, the team faced the following challenges:

  • Establishing an effective onboarding process for security data feeds from the client’s operating companies, subsidiaries, and distributed events
  • Sustaining 24×7 coverage of security operations to ensure continuous threat visibility.
  • Developing “digital playbooks” and comprehensive SLA, compliance dashboards and reporting to support governance and assurance.

The organization sought a platform that would serve as a single pane of glass for all security technologies, enabling unified threat visibility, faster response, and improved resilience against evolving cyber risks.

Benefits

  • Fewer false positives with a fully functional SIEM that reduces noise and improves detection fidelity.
  • Increased automation of SOC processes, including prioritization of alerts by severity and SLA level and proactive correlation of threat intelligence sources to accelerate exposure reduction.
  • Greater operational efficiency through the integration of multiple tools to a single pane of glass, enhancing visibility and enabling faster detection and response
  • Event data enrichment and insights, providing context that strengthens triage, identification of attack patterns, and facilitates faster, more effective response.

Our solution

The client accelerated its move to the cloud. selecting Microsoft Azure Sentinel as its cloud-native SIEM. CyberProof integrated Azure Sentinel with the CyberProof service platform, creating a unified environment for detection, investigation, and response. This provided real-time threat visibility, continuous exposure assessment, and automated response capabilities—improving resilience while lowering operational costs. By using advanced automation throughout some of the SOC’s tier 1 & 2 activities, CyberProof also helps to reduce false positives and shrink dwell time.

CyberProof guided the deployment in line with Microsoft’s best practices, connecting data sources across the client’s hybrid environment, configuring use cases, and customizing dashboards and playbooks for relevant threats. Integration with Microsoft’s Security Graph tools enhanced visibility and accelerated incident response, helping reduce dwell time and strengthen overall security posture.

Diagrama de flujo de CyberProof Defense Center, que incluye Microsoft Sentinel SIEM, Logic App Connectors e integraciones como Microsoft Defender para Office 365 y Google Chronicle, que muestra el flujo de trabajo y las diversas funcionalidades para una solución integral de detección y respuesta administradas (MXDR).
Architecture diagram

Results

The new next-generation SOC delivered measurable improvements in threat visibility and operational efficiency. Automation reduced noise and false positives, while exposure validation and early detection of high-risk activity helped the client lower dwell time and accelerate containment, enhancing both resilience and return on investment, dramatically reducing the cost and time required to respond to security threats.

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