A recent SD Times Live! Supercast shed light on practical solutions to stabilize the testing environment for dynamic AI applications.

Despite software architecture relying on them, managing the API lifecycle creates governance risks for engineering teams.

With all of the talk about the security risks of AI, one issue that seems to be overlooked is this: the fact that AI systems only function by exposing their most valuable assets — models and data.