The rise in digital technology is creating opportunities for individuals and organizations to achieve unprecedented success. It’s also creating new challenges, particularly in protecting sensitive personal and financial information.
Personally identifiable information (PII) is trivial to manage. It’s often spread across multiple locations and formats and can be challenging to find and classify.
Organizations need a modern data discovery and classification solution to identify sensitive data across physical, virtual and public clouds.
The Current State of Sensitive Data Discovery and Classification
Organizations are either in two camps (or a combination of the two):
Reliant on manual processes that require users to watermark sensitive data or use traditional spreadsheets with the help of DBAs to keep track of sensitive data sources
Using an automated Data Discovery tool based on pattern matching or keyword.
This traditional data discovery and classification might get an enterprise close, but when it comes to data security, close is not good enough. At the same time, these processes are inefficient and time-consuming at best. For data security in general, we have seen enterprises leverage AI and automation to augment their cyber defense. With data sprawl across clouds and the exponential growth of users accessing data, the need for a trusted AI-based data protection solution is growing. That similar trend is reflected in the data discovery segment, where enterprises simply cannot rely on manual processes to safeguard sensitive data.
Learn more on IBM Security Discover and Classify
Benefits of Modern Data Discovery Solutions
Modern data discovery solutions transformed how enterprises identify and secure their data. These solutions enable them to gain insights into their data by discovering, classifying, analyzing ..
Support the originator by clicking the read the rest link below.
