Cloud Security in the Age of AI: Protecting Data, Workloads and Intelligent Applications

The rapid adoption of AI and cloud technologies is creating new opportunities for enterprise innovation while introducing additional cybersecurity challenges. AI applications often process sensitive business data and rely on complex cloud infrastructure, making comprehensive security essential throughout the technology lifecycle.

Organizations must protect AI models, training data, APIs, applications, cloud workloads, and user identities while maintaining compliance and operational flexibility. Security strategies must also address risks such as unauthorized access, data exposure, model manipulation, and emerging AI-specific threats.

This whitepaper explores modern cloud security strategies for the AI era, covering data protection, workload security, identity management, AI application security, threat detection, governance, and compliance to help enterprises build secure intelligent environments.