Overview of CSA's AI Security Maturity Model and a scalable Enterprise Membership roadmap turning research into actionable ...

Treat incident response as an engineering system—from asset-aware detection to repeatable analysis and post-incident learning—driving measurable improvements.

Machine identities are the primary attack surface; governance must shift from user-centric models to trust-based, ...

Explore modern identity-based attacks and how to defend against them using Zero Trust. Define and differentiate between ...

Explores Zero Trust, SBOM, and practical steps to secure the software supply chain, boost resilience, and communicate risk to leadership.

Explore how organizations are currently managing AI agent governance. The data reveals widespread shadow AI agents and ...

Overview of cloud security architecture, its core principles, components, and proactive strategies to protect data and ensure business continuity.

Discover the reality of autonomous AI risks. Learn about emerging shadow AI agents and the frequency of AI agent-related security incidents.

SEATTLE – April 16, 2026 – A new study conducted by the Cloud Security Alliance (CSA), the world’s leading not-for-profit organization committed to AI, cloud, and Zero Trust cybersecurity education, ...

Explores how AI agents retrieve data with user permissions yet expose outputs to mixed audiences, urging audience-aware authorization.