Practical AI security in multi-cloud environments

This article outlines best practices for AI security in multicloud environments, advocating for foundational visibility into AI components, risk-based prioritization, and an AI security posture management approach aligned with frameworks like MITRE ATLAS and OWASP AI. It promotes continuous, behavior-based threat detection using Sysdig Secure’s Falco-managed runtime policies and cloud audit log monitoring, illustrates detections for platforms such as AWS Bedrock, and positions these controls to meet evolving regulatory requirements while reducing exposure to emerging AI-specific threats.