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Guide

AI Security Starts Here

Artificial intelligence is rapidly becoming a core component of enterprise infrastructure, and the organizations deploying AI systems are discovering that the security frameworks built for traditional software do not address the unique risks that AI introduces. AI models can be manipulated through adversarial inputs, training data can be poisoned to introduce subtle backdoors, and inference APIs can be exploited to extract sensitive information embedded in model weights. This guide provides security practitioners with a structured starting point for building an AI security program, covering threat modeling for AI systems, the security controls needed at each stage of the AI lifecycle from training through deployment, and the governance policies that give organizations visibility into what AI is doing with their data and who has access to it.