Case Study - Financial Services

Organization saves millions on data ingestion & storage following cloud migration

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About the client

A large, multinational company approached CyberProof for assistance with their security operations. The company operates in countries worldwide. The client’s goal was to ensure business operations remain secure by transforming the firm’s current cyber practices – and establishing an innovative, next-generation cyber security SOC operation.

The client's challenge

In its search for a security solution, the client was not looking for a traditional Managed Security Services Provider (MSSP). The firm was seeking a partner willing to work in a hybrid model, where cloud and on-site resources and assets would complement each other. In selecting a partner who could meet the firm’s security needs, their main objectives included:

  • Adoption of a more holistic and risk-based approach to threat detection and response to increase security resilience
  • Integration of orchestration & automation platforms that allow threats to be detected and mitigated to minimize business impact
  • Development of streamlined SOC processes and innovative tools that drive operational efficiencies and reduce costs
  • Implementation of a cloud-native SIEM platform to enable a hybrid cloud and on-premises architecture

The benefits of CyberProof

  • Dramatic savings in the cost of log ingestion and storage
  • Fewer false positives as data and logs are collected from multiple sources, reducing errors and time to detect
  • Cloud-native and hybrid deployment providing greater operational efficiency, by leveraging cloud-native tools and automations that accelerate detection & response
  • Reduced risk with orchestration & automation capabilities that provide faster time to response and increased threat landscape visibility
  • Single view supporting multi-team SecOps collaboration, with real time alerts and recommendations for IT and security incidents
Penetration testing expert meeting

Our solution

CyberProof’s deployment for this client includes one of the first commercial deployments of the Microsoft Sentinel cloud Security Information and Event Management (SIEM) solution. Sentinel supports data collection for on-premises, hybrid, and multi-cloud ecosystems, with intuitive dashboards and reporting that provide continuous security and intelligence insights.

CyberProof’s team in Paris, Tel Aviv, and Trivandrum (India) works as an extension of the client’s security team and functions as an integral part of their threat reduction objectives.

CyberProof helped dramatically reduce the cost of log ingestion and storage as the client migrated to cloud-native security operations, leveraging Azure Data Explorer (ADX) together with the CyberProof Log Collection (CLC) tool. By moving the longterm retention of the logs, and the processing of custom collected logs – the “heavy lifting”– over to ADX, we discovered that we were able to manage massive quantities of data for our client, at a radically lower cost.

Architecture diagram

Further Information

CyberProof deploys the full range of managed cybersecurity services, including:

  • 24/7 event monitoring, event enrichment, and triage
  • Incident response with customized threat detection rules, use cases, and digital playbooks
  • Use Case Factory that is fully integrated with the CyberProof Defense Center (CDC)

CyberProof provides other advanced SOC services, such as targeted threat intelligence, managed Endpoint Detection and Response (EDR), and vulnerability management.

CyberProof helps automate cyber operations within the CDC – enriching event data, proactively querying external sources, responding to analysts’ requests by providing contextualized and actionable information, automatically creating incidents without human intervention (based on collation and context), and automatically executing non-intrusive steps in digitized playbooks. By automating some of the SOC’s tier 1 & 2 activities, the CDC helps reduce false positives and shrink dwell time, i.e., the period beginning when a threat actor has undetected access to a network and ending when a threat is completely removed.

The CDC leverages analytics and deep learning algorithms, which are key in handling huge volumes of data in order to detect and elevate indications of threats (both known and unknown). These capabilities allow the client to accelerate its response and handle emerging threats fast enough to assure the resilience of its systems.

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