5 best practices to secure AI systems
AI-summarised brief · reviewed before publication
As artificial intelligence becomes increasingly embedded in critical operations, companies require a multi-layered defense strategy to secure these systems. Five key practices address AI security risks: enforcing strict access and data governance, defending against model-specific threats, maintaining detailed ecosystem visibility, adopting a consistent monitoring process, and developing a clear incident response plan to mitigate potential threats and protect sensitive data and models.