From Pilot to Production: Preventing Breaches in AI Platforms
Автор: Cloud Security Alliance (CSA)
Загружено: 2026-02-24
Просмотров: 48
Описание:
Artificial intelligence is no longer confined to innovation labs. As enterprises deploy GenAI and MLOps platforms across Azure, AWS, and hybrid environments, AI is becoming a first-class cloud workload exposing security models that were never designed for autonomous, adaptive systems.
In this episode, Milan Rana, Principal AI Architect at Headstorm, shares real-world lessons from building secure AI landing zones for regulated enterprises. We explore what breaks when scaling AI in production, key architectural tradeoffs, governance gaps, and how to secure AI workloads across multi-cloud environments.
Learn how to modernize your cloud security strategy for AI, reduce risk in GenAI deployments, and implement effective AI governance at scale. For more insights, research, and best practices on AI security and cloud governance, visit the Cloud Security Alliance and explore our latest guidance. Subscribe for more expert discussions on securing AI, MLOps, and multi-cloud environments.
For more insights and best practices:
Visit the Cloud Security Alliance website: https://cloudsecurityalliance.org/
Learn more about CSA's Security, Trust, Assurance, and Risk (STAR) program: https://cloudsecurityalliance.org/star/
Explore the CSA Security Update podcast: https://www.buzzsprout.com/303731/epi...
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