The risk matrix presented below serves as a structured, multi-dimensional lens through which to assess cybersecurity risks in AI systems. Each of the 67 risks is classified by risk description, threat context, mitigating controls, cyber relevance, control type (preventative or operational). It serves as a threat model and is based on IBM AI Risk Atlas Risk… Continue reading Cyber Risks in AI
Tag: AI
Retrieval-Augmented Generation (RAG)
Retrieval-augmented generation (RAG) is a hybrid AI approach that combines retrieval-based methods with generative models to improve the quality and accuracy of generated content. This approach benefits tasks requiring factual accuracy and natural language generation, such as question-answering, summarization, or generating content based on specific knowledge. How RAG Works: RAG integrates two core components: Retrieval… Continue reading Retrieval-Augmented Generation (RAG)