Crossing the Data Security Tooling Chasm
Crossing the Data Security Tooling Chasm
Recent posts
Monitoring sensitive data using Anomaly Detection
Over the years, the size of the data being stored by the organizations has been growing exponentially. This has increased concerns over the data privacy. With the threat of data breaches, organizations face
Cybersecurity & P2P Lending
Fintech P2P lending platforms can offer attractive opportunities for both borrowers and lenders alike. With issues and risks like cybersecurity, implementing a solid data security solution like Kogni is important for a platform to keep customers' trust and their data safe.
Data Audit for a Post-RDBMS World
We live in a post-RDBMS world. Yet the audit and compliance tools are designed predominantly for the RDBMSs (Oracle, MySQL). Consider the following facts regarding unstructured data: Unstructured data is on the rise.
How Kogni Discovers Sensitive Information
A common question we get from customers is “how does Kogni discover sensitive information?” In this post, we will describe how Kogni discovers sensitive information in the following three types of data: Structured
Detecting Suspicious Access of Sensitive Data
Many of the recent data breaches were detected too late. Consider Equifax data breach: "More than 145 million Americans were affected by the Equifax hack last summer. The personal information accessed included