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YouTube

Reusing Control Mappings for AI Security Frameworks in Multi-Cloud Environments

fwd:cloudsec via YouTube

Overview

Learn how to efficiently manage AI security compliance frameworks in this 21-minute conference talk from fwd:cloudsec. Explore strategies for leveraging existing cloud security control mappings across AWS, Azure, and GCP to streamline AI/ML compliance reporting. Discover approaches to integrate frameworks like NIST AI RMF, MITRE ATLAS, and ISO27053 with existing standards such as NIST CSF and ISO27001. Follow along as cybersecurity expert Natalia Semenova shares insights from her 15 years of experience in cryptography, identity management, and cloud security, including recent research in AI security and MLSecOps at Google. Master techniques for identifying missing MLSecOps controls, protecting private data, and creating efficient control mappings for multi-cloud environments while avoiding redundant compliance work.

Syllabus

Introduction
Control mapping
Frameworks
Standards
Scope
Examples
Summary
AI Standard Hub
Private data security

Taught by

fwd:cloudsec

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