As technology has transitioned from on-premises to the cloud, the ability to protect
and secure cloud ecosystems is ever changing and oftentimes challenging. The dynamic nature of the cloud can often introduce potential new risks, and the need to utilize new technology to tackle these risks is more important than ever. According to a July 2023 IBM report, the global average cost of a data breach reached $4.45 million in 2023, an increase of 15% over the last three years.1
The use of generative artificial intelligence (GenAI) is one of the ways in which organizations are looking to tackle the challenge.

With the onset of widely used large language models (LLMs), generative AI has the
ability to speed up security investigations by answering hard questions within a simple interface. Generative AI enables organizations to address cloud security by utilizing natural language processing to understand and navigate their cloud. No longer is there a requirement for users to sift through their data and try to find suspicious activity — or write rules to match the activity. Users can now work directly with a model that knows their cloud, asking questions in natural language, and receiving clear and concise answers in return.