This session will delve into the convergence of ransomware and Artificial Intelligence/Machine Learning (AI/ML) systems, providing attendees with a comprehensive understanding of the evolving ransomware landscape in AI environments. The presentation will cover:

The progression of ransomware from traditional attacks to AI-driven variants.
Vulnerabilities in AI/ML systems, such as supply chains, models, and training pipelines, that adversaries can exploit for ransomware attacks.
Real-world examples of potential ransomware exploits in predictive AI (e.g., OWASP ML06: 2023 ML Supply Chain Attacks) and generative AI (e.g., OWASP LLM06: Excessive Agency).
Practical strategies and AI-driven solutions to detect, protect against, and mitigate ransomware threats.

Attendees will gain actionable insights into adapting traditional ransomware defenses to safeguard modern AI infrastructures and explore open challenges in standardizing defenses for AI/ML systems. The session will also provide references to OWASP frameworks and insights from the OWASP AI Exchange.