Stop Treating Models Like Magic, Start Treating Them Like Binaries

The current AI/ML landscape is often compared to a chaotic "wild west," where models are treated like "magic," leading to unmanaged risks and inefficiencies. To address these challenges, the concept of AISecOps extends DevSecOps principles to the entire AI lifecycle, embedding security, governance, and compliance. This approach advocates treating models as scannable, verifiable, and traceable binaries rather than black boxes, thereby reducing vulnerabilities and improving auditability. JFrog's platform supports AISecOps by providing a unified solution where models are stored in a secure, versioned registry and integrated with tools for governance and security scanning. This shift from "magic" to disciplined engineering practices is essential in meeting real-world risks and regulatory requirements, transforming AI assets into secure and manageable components of the software supply chain.