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Cloud Security, Trust, and Assurance

There is significant focus on and activity across various standards organizations and forums to define the challenges facing cloud security, as well as solutions to those challenges. The Cloud Security Alliance (CSA), NIST, and the Open Cloud Computing Interface (OCCI) are examples of organizations promoting cloud security standards. The Open Data Center Alliance (ODCA), an alliance of customers, recognizes that security is the biggest challenge organizations face as they plan for migration to cloud services. The ODCA is developing usage models that provide standardized definitions for security in the cloud services and detailed procedures for service providers to demonstrate compliance with those standards. These attempts seek to give organizations an ability to validate adherence to security standards within the cloud services.

Here are some important considerations dominating the current work on cloud security:

Visibility, compliance, and monitoring. Ways are needed to provide seamless access to security controls, conditions, and operating states within a cloud's virtualization and hardware layers for auditability and at the bottom-most infrastructure layers of the cloud security providers. The measured evidence enables organizations to comply with security policies and with regulated data standards and controls such as FISMA and DPA (NIST 2005).

Data discovery and protection. Cloud computing places data in new and different places—not just user data but also application and VM data (source). Key issues include data location and segregation, data footprints, backup, and recovery.

Architecture. Standardized infrastructure and applications provide opportunities to exploit a single vulnerability many times over. This is the BORE (Break Once, Run Everywhere) principle at work. Considerations for the architecture include:

Protection. Protecting against attacks with standardized infrastructure when the same vulnerability can exist at many places, owing to the standardization.

Support for multi-tenant environments. Ensuring that systems and applications from different tenants are isolated from one another appropriately.

Security policies. Making sure that security policies are accurately and fully implemented across cloud architectures.

Identity management. Identity management (IdM) is described as “the management of individual identities, their authentication, authorization, roles, and privileges/permissions within or across system and enterprise boundaries, with the goal of increasing security and productivity while decreasing cost, downtime, and repetitive tasks.” From a cloud security perspective, questions like, “How do you control passwords and access tokens in the cloud?” and “How do you federate identity in the cloud?” are very real, thorny questions for cloud providers and subscribers.

Automation and policy orchestration. The efficiency, scale, flexibility, and cost-effectiveness that cloud computing brings are because of the automation—the ability to rapidly deploy resources, and to scale up and scale down with processes, applications, and services provisioned securely “on demand.” A high degree of automation and policy evaluation and orchestration are required so that security controls and protections are handled correctly, with minimal errors and minimal intervention needed.

 
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