Threat Modeling for AI Apps with Attacks as Code
Offered By: CNCF [Cloud Native Computing Foundation] via YouTube
Course Description
Overview
Explore the evolving landscape of threat modeling for AI applications in this 25-minute conference talk by Priyanka Tembey and Glenn McDonald from Operant. Delve into the unique security challenges posed by AI and learn how to implement automated threat modeling using the open-source Secops-Chaos framework. Discover how to customize baseline frameworks like OWASP LLM risks and MITRE ATLAS to suit organizational needs, and understand the importance of continuous verification for AI apps built on untrusted third-party models. Gain hands-on experience through demonstrations mapping MITRE ATLAS TTPs to AI applications running in Kubernetes environments, and learn how to integrate threat modeling into the CI/CD pipeline for enhanced security.
Syllabus
Threat Modeling for AI Apps with Attacks as Code - Priyanka Tembey, Operant & Glenn McDonald
Taught by
CNCF [Cloud Native Computing Foundation]
Related Courses
Building on Microsoft Sentinel PlatformMicrosoft via YouTube Securing Applications and Infrastructure on Kubernetes with Sysdig
Mirantis via YouTube Container Escape in 2021
Hack In The Box Security Conference via YouTube Running at Light Speed - Cloud Native Security Patterns
LASCON via YouTube Controlled Mayhem With Cloud Native Security Pipelines
OWASP Foundation via YouTube