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CSA's strategic programs driving innovation in AI, cloud, and Zero Trust.
A public-interest 501(c)(3) dedicated to secure and trustworthy AI.




Industry Leadership
Strategic Initiatives
CSA's strategic programs driving innovation in AI, cloud, and Zero Trust.
A public-interest 501(c)(3) dedicated to secure and trustworthy AI.

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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.

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Latest Research

Autonomous Pentest Assurance Standard (APAS)

Autonomous Pentest Assurance Standard (APAS)

Release Date: 11/04/2026

Autonomous and agentic AI systems are increasingly being used to perform, augment, or replace traditional penetration testing. However, organizations need a reliable way to evaluate the quality of their results.

This publication introduces the Autonomous Pentest Assurance Standard (APAS). APAS...
Designing the AI-First Security Organization

Designing the AI-First Security Organization

Release Date: 11/03/2026

AI is reshaping security organizations in major ways. Businesses are adopting AI that security teams must defend. Security functions are using AI in their own operations. Adversaries are deploying offensive AI.

These forces affect processes, skills, staffing, governance, and team structures....
The VulnOps Operating Model

The VulnOps Operating Model

Release Date: 10/27/2026

The previous manual era of vulnerability management resulted in scheduled assessments, CVSS-sorted queues, and monthly patch windows. However, batch-oriented vulnerability management is becoming increasingly insufficient as AI-accelerated vulnerability discovery and patch production outpace...