Decoding the top 5 cybersecurity risks of generative AI

  As organizations seek to expand their data footprint on the cloud, many executives responsible for data security and risk are encountering a challenge they have not had to navigate earlier: discovering sensitive data on the cloud. In fact, it is the security of sensitive information that most executives are worried about when it comes to hosting data on the cloud. One survey found out that “71% of organizations report that the majority of their cloud-resident data is sensitive.” Therefore, many CIOs and CTOs are always looking for answers on how to discover and protect sensitive data on the cloud and what are the traits of a good data discovery tool. All such questions answered — right here. Why discover sensitive data on the cloud? In reality, sensitive and personal information that is regulated for compliance often gets misplaced on the cloud. For instance, with the  evolving trends in the payment card industry , payments data, credit and debit card data, in particular, is...

  Whether it is increasing the visibility across the network, meeting regulatory compliance, or protecting sensitive data from breaches and leaks, Data Discovery and Data Classification can benefit organizations in multiple ways. With the rapid expansion of perimeter-less networks and proliferation of data across businesses of all sizes, identifying and classifying the data must be the first step to protect it from emerging cybersecurity risks. This article answers some of the most frequently asked questions about data discovery and classification and helps better understand the key processes vital to ensure complete  Data Protection . 1. What is the difference between sensitive and non-sensitive Personally Identifiable Information (PII)? Personally Identifiable Information (PII) refers to data or sets of data that could identify an individual. PII data can be associated with individuals to either recognize them uniquely or through a combination of several identifiers. PII can...