How Are You Securing AI/ML Models in Production? Let’s Share Practical Defenses

I’ve been thinking a lot about AI security lately, especially how vulnerable production models can be to cyber threats like:

• Adversarial attacks
• Data poisoning
• Model theft and extraction

In my own work, we’re exploring ways to harden ML pipelines without slowing down development, but it’s definitely challenging.

I’m curious:

• What practical defenses are you using to protect AI/ML models in production?
• Have you ever faced security incidents involving machine learning systems?
• Are there any frameworks or best practices you’d recommend?

Would love to hear how others in the community are approaching this in real-world projects.Thanks for sharing!