Analyze the security implications of dependency poisoning in machine learning ecosystems. Create a checklist for securing Python package dependencies in ML projects, including: 1) Dependency verification methods 2) Monitoring techniques for suspicious activities 3) Incident response procedures for dependency-related breaches. Provide examples of secure dependency management practices in PyTorch/TensorFlow projects.