In the realm of data-driven technologies, the management and protection of sensitive data have emerged as critical challenges for organizations across diverse sectors. Unsupervised machine learning algorithms (also known as self-learning) such as technologies pioneered by Secuvy have revolutionized data discovery and have proven to be particularly adept at addressing these challenges, showcasing unparalleled capabilities. Here we explore the reasons behind the superiority of unsupervised machine learning in this domain, emphasizing the key attributes that make it a preferred choice for businesses aiming to expand their data discovery, and fortify their data privacy and security measures.

Read the full PDF at A Hitchhiker’s Guide to Sensitive Data Discovery Using Unsupervised Machine Learning for a complete tutorial on how AI can provide the most comprehensive visibility into all of your sensitive data.