Managing sensitive applications in the public cloud
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The document discusses the challenges of managing sensitive applications in public cloud environments, particularly in highly regulated industries such as healthcare and finance. It emphasizes the need for innovative security measures, including proactive monitoring, end-to-end data encryption, and robust intrusion detection systems, to protect against internal vulnerabilities and data breaches. Additionally, it examines the application of these security techniques in a case study involving the Watson Genomic Analytics prototype.
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Managing sensitive applications in the public cloud
- 1. Managing sensitive applications in the public cloud Abstract: Protecting the security and privacy of data is a paramount concern of enterprises in medical, educational, financial, and other highly regulated industries. While some industries have moved rapidly to take advantage of the cost savings, innovations in data analysis, and many benefits provided bycloud platforms, regulated enterprises with sensitive data have proceeded with caution. In this paper, we explore a fully public cloud-based architecture that is able to handle both service requirements and security requirements. In such a public cloud environment, the traditional notion of static perimeter-based reactive security can leave internal system components vulnerable to accidental data disclosures or malicious attacks originating from within the perimeter. Therefore, ensuring security and compliance of such a solution requires innovation and new approaches in several directions, including proactive log monitoring and analysis of virtually all parts of the cloud-based solution, full end- to-end data encryption from the client through Internet transmission to data storage and analytics in the solution, and robust firewall and network-intrusion detection systems. We discuss many of these techniques as applied to a specific real-world application known as the Watson Genomic Analytics Prototype.