Phantom Dependencies in AI and ML Projects - Managing Hidden Software Dependencies

Learn about phantom dependencies in AI and ML projects through this 25-minute conference talk that explores how dependencies can enter development environments outside of traditional manifest files and lockfiles. Discover why phantom dependencies are particularly prevalent in artificial intelligence and machine learning projects, understand their impact on operations, compliance, SBOM accuracy, and vulnerability management. Gain practical, vendor-neutral strategies for identifying these hidden dependencies and properly associating them with applications, ensuring better dependency management and security practices in AI/ML development workflows.