Crossing the Data Security Tooling Chasm
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
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.
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.
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
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
A common misconception is that IT teams can manually compile a list of sensitive data locations. However, manual sensitive data discovery is impractical for the following reasons: In traditional relational databases such as
(1) The GDPR only applies to companies with physical presence in EU. Fact: The GDPR applies to any company that handles the personal data of EU residents, even if the company has no
The General Data Protection Regulation (GDPR) is a regulation intended to strengthen data protection for all individuals within the European Union. It becomes enforceable from May 25, 2018. One of the key requirements
In this era technology advancements are moving at a breathtaking pace with businesses looking for more innovative ways to gather insights about the massive amounts of data that is being collected from web,