AI Security: How to Build Secure AI Systems for Business
A practical framework for protecting your AI models, data, and infrastructure from emerging threats AI security is a specialised branch of cybersecurity focused on protecting artificial intelligence models, their training data, and the infrastructure they run on from threats such as prompt injection, data poisoning, and model inversion. Building secure AI systems for business requires a security-by-design approach: data governance, strict identity management, output guardrails, and continuous monitoring applied across the entire AI lifecycle — from training data to model inference. In this article, you will learn about the unique vulnerabilities of AI systems and a comprehensive framework for building …
