How do we govern and secure open-source models in production?

Managing open-source AI requires good governance.
Andrew Ng

How It Works:

Implement access controls, regular security audits, and version tracking to ensure only vetted code and weights are deployed.

Key Benefits:

  • Controlled risk: Prevent unapproved changes.
  • Compliance: Align with internal policies.
  • Audit trails: Trace model evolution over time.

Real-World Use Cases:

  • Enterprise AI: Lock down models for regulated industries.
  • Community projects: Govern contributions to shared models.

FAQs

How track model versions?
Can open models be commercialized?