Explores where AI helps in pen testing, current limits, and how to integrate AI with human oversight, data controls, and governance.

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The CSA Cloud Controls Matrix (CCM) is a cybersecurity control framework for cloud computing. It is composed of 197 control objectives that are structured in 17 domains covering all key aspects of ...

This report examines the operational reality of Data Loss Prevention (DLP) programs across enterprise security organizations, drawing on survey responses fro ...

A briefing for security leaders on how AI-driven vulnerability discovery is reshaping the defender timeline, the operating model of vulnerability management, and the minimum actions required now.

As more companies are migrating to the cloud, the importance of security must remain at the forefront. Regardless of company size, the topic of cloud is necessary. However, a successful cloud adoption ...

The Financial Services Industry (FSI) adoption of cloud computing services has grown extensively in recent years. This trend is expected to continue with the migration of business applications to the ...

The Cloud Security Alliance (CSA) recognizes the unique challenges, standards, and security requirements that U.S. government agencies face in today’s evolving digital landscape. To help agencies meet ...

AI is expanding faster than anyone can imagine, as organizations race to use AI to gain a competitive advantage. It started with Generative AI. Now, agentic AI is changing the way people think and ...

Research conducted in collaboration with Jazz finds that, among respondents experiencing data loss, only 16% said DLP blocked their most significant incidents before data left the organization SEATTLE ...

AI-enabled adversaries are compressing exploit timelines, multiplying attack capacity, and putting expert-grade capabilities within reach of lower-skilled attackers. Preparing for these threats ...