Four Questions CISOs are Asking About Generative AI eBook
AI already has a long history of use in security and is deeply embedded in SecOps workflows. Supervised machine learning is commonly used to scan scripts to detect malware while unsupervised machine learning is used to correlate signals, and detect suspicious activity. Historically, AI’s impact on SecOps has been focused on detection. Generative AI is a type of artificial intelligence that can create new content such as text, images, videos, or audio from a prompt based on a large wealth of training data. This new technology brings exceptional capabilities in terms of natural language understanding and code generation and offers an
opportunity for transformation that spans the breadth of the SecOps workflow. Our focus in this piece is on large language models (LLMs), a subset of generative AI focused on producing human-like text, and their impact on security operations. We believe LLMs can help give time back to analysts by automating mundane tasks and augmenting the analyst’s capacity to search, correlate, query, and contextualize.
