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

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 ...

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 ...

Software development traditionally ran through a narrow channel that involved a defined set of engineers, pipelines, and a review process security could have control over. That model worked because ...

CISA's AA26-251A should end the fiction that confidential model weights are enough to protect frontier capabilities. On September 8, 2026, the Cybersecurity and Infrastructure Security Agency, ...

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

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

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 ...