Case Study: Google Secures Machine Learning Models with sigstore
As machine learning (ML) evolves at lightning speed, so do the threats. The rise of large models like LLMs has accelerated innovation—but also introduced serious vulnerabilities. Data poisoning, model tampering, and unverifiable origins are not theoretical—they’re real risks that impact the entire ML supply chain.