In our first 3 articles, we framed AI security as protecting the system, not just the model, across confidentiality, integrity, and availability, and we showed why the traditional secure development lifecycle (SDLC) discipline still applies to modern AI deployments. We also focused on guardrails and different architectural approaches such as dual LLMs and CaMeL to help protect against prompt injection and unsafe actions.This article completes the defense strategy by focusing on the backbone that makes guardrails enforceable in production—identity, authentication, authorization, and zero trus
In product security, AI represents a new and critical frontier. As artificial intelligence becomes mainstream in both defense tools and exploitation methods, security professionals must master these technologies to more effectively protect and enhance their systems.What is AI in cyber security?AI in cyber security is the application of advanced technologies like machine learning and automated reasoning to detect, prevent, and respond to digital threats at a scale and speed that exceeds human capabilities.AI systems are able to perform a growing variety of tasks, such as pattern recognition, le