The Gene Simmons of Data Protection – AI Inference-time Guardrails
https://codestory.co/podcast/the-gene-simmons-of-data-protection-ai-inference-time-guardrails/
Today, we are releasing the final episode in our series "The Gene Simmons of Data Protection", sponsored by our good friends at Protegrity, featuring Averell Gatton.
The struggle with LLMs is their probabilistic nature, but enterprise data protection requires deterministic boundaries. This episode of CodeStory hits the nail on the head: Inference-time guardrails are the only way to ensure compliance without killing model performance. By placing the security layer at the point of inference, we can intercept 'toxic' or 'unauthorized' outputs before they ever reach the user. It’s the evolution from static data-at-rest protection to dynamic data-in-motion safety. Essential listening for anyone building in production right now.