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Juniper Networks > Case Studies > Enhancing Cloud Security: A Case Study of an Online Storage Provider Using Adaptive Detection Fabric
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Enhancing Cloud Security: A Case Study of an Online Storage Provider Using Adaptive Detection Fabric

Technology Category
  • Cybersecurity & Privacy - Malware Protection
  • Cybersecurity & Privacy - Network Security
Applicable Industries
  • Buildings
  • Construction & Infrastructure
Use Cases
  • Counterfeit Product Identification
  • Tamper Detection
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
The Challenge
The company, a leading online file sharing and content management service, was facing a significant challenge in the form of a new threat vector: file-sharing services offered by cloud service providers. These services were being used by company employees for collaborating and sharing files with outside parties, presenting a risk to network security. The company was particularly concerned about malicious programs like DropSmack that use file sharing services to steal data and deliver malware, bypassing an organization’s prevention infrastructure. The company aimed to position their service as an enterprise-ready, highly secure solution for security conscious customers and create a value-added premium secure file service to expand revenues and gross margins.
About The Customer
The customer in this case study is a leading online file sharing and content management service provider. They serve both the enterprise and consumer markets, supporting millions of users and tens of thousands of companies. The company is committed to providing a secure and reliable service to its customers, which includes businesses of all sizes. They are constantly looking for ways to enhance their security measures and ensure the safety of their customers' data. The company is also focused on expanding its revenues and gross margins by offering value-added services.
The Solution
The company evaluated several options, including Cyphort’s Adaptive Detection Fabric (ADF) and other costlier, appliance-based options. They needed a solution that would fit their SaaS business model, which required a flexible, scalable solution. The company's key requirements included detection of advanced armored malware, API-based integration, scalable scanning engine, integration with the infrastructure, and use-based licensing. The company implemented the ADF SmartCore software running as a virtual machine in their environment. They utilized the open API architecture and fed files to the SmartCore malware detection engine. As the SmartCore open API returned the detection results, the company could quarantine malicious files. The ADF open API architecture also provided access to management and reporting capabilities that the company could then integrate with their third-party security management tools.
Operational Impact
  • The implementation of the Adaptive Detection Fabric (ADF) satisfied several requirements that the customer had specified. After demonstrating the efficacy of ADF malware detection, pricing and ease of deployment in a SaaS environment became the main deciding factors. The software-based scalable model of ADF SmartCore was a very attractive feature to the customer, as it could scale up and down based on the volume. The flexible licensing model offered significant value to the customer, as ADF is licensed by network bandwidth, and is not tied to the number of locations it protects. The open architecture of ADF, which enables it to work with third-party solutions, was a great fit for the customer.

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