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CSA Research

Best practices, guidance, frameworks and tools to help the industry secure the cloud. Read our research to get your questions around cloud security answered.
Research

CSA Research is created by the industry for the industry and is both vendor-neutral and consensus driven. Our research is created by subject matter experts who volunteer for our working groups. Each working group focuses on a unique topic or aspect of cloud security, from IoT, DevSecOps, Serverless and more, we have working groups for over 20 areas of cloud computing. You can view a list of all active research working groups. To find out more about how our research is created and the process we follow you can view the CSA Research Lifecycle.

Contribute to CSA Research

Peer reviews allow security professionals from around the world to collaborate on CSA research. Provide your feedback on the following documents in progress.

Latest Research

Confronting Shadow Access Risks: Considerations for Zero Trust and Artificial Intelligence Deployments

Confronting Shadow Access Risks: Considerations for Zero Trust and Artificial Intelligence Deployments

Release Date: 05/06/2024

Shadow Access, a growing concern within cloud computing and Identity and Access Management (IAM), refers to unintended, unauthorized access to systems and data, often intensified by the complexities of modern technological environments. Organizations from small to large often find out the hard...
AI Organizational Responsibilities - Core Security Responsibilities

AI Organizational Responsibilities - Core Security Responsibilities

Release Date: 05/05/2024

This publication from the CSA AI Organizational Responsibilities Working Group provides a blueprint for enterprises to fulfill their core information security responsibilities pertaining to the development and deployment of Artificial Intelligence (AI) and Machine Learning (ML)....
AI Resilience: A Revolutionary Benchmarking Model for AI Safety

AI Resilience: A Revolutionary Benchmarking Model for AI Safety

Release Date: 05/05/2024

The rapid evolution of Artificial Intelligence (AI) promises unprecedented advances. However, as AI systems become increasingly sophisticated, they also pose escalating risks. Past incidents, from biased algorithms in healthcare to malfunctioning autonomous vehicles, starkly highlight the...