Summary
This guide addresses the security challenges associated with artificial intelligence (AI) and machine learning (ML) supply chains. It outlines the hidden risks that can arise from vulnerabilities in the complex supply chains powering AI/ML systems. The document details various threats, including data poisoning, model theft, and infrastructure vulnerabilities, emphasizing the importance of understanding these risks to build a robust security posture. The guide presents practical solutions for mitigating these threats, such as vulnerability management, supply chain transparency, and integrity verification. It also highlights the role of tools like Chainguard Images and Sigstore in enhancing security measures. The document serves as a foundational resource for organizations seeking to safeguard their AI/ML systems from potential attacks and ensure the integrity and reliability of their operations.
