Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. Organisations also need to ...
In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...
Komprise, an unstructured data management software company, recently released their fifth annual survey on unstructured data management with over 300 IT and storage leaders participating in the 2025 ...
When it comes to managing data, we need to know where it is – but we also need to know what it is. With the rise in regulatory controls, enterprises now pay more attention to data sovereignty, ...
Hosted on MSN
The convergence of DSPM, DLP, and data privacy
It’s no surprise that with all the data breaches happening far too frequently, new data security tools and privacy regulations have followed closely behind. But how familiar are you with the data ...
Can MSPs afford to let data tagging fall behind when compliance, security, and customer trust are on the line? For Managed Service Providers (MSPs), messy ...
Randy Barrett is a freelance writer and editor based in Washington, D.C. A large part of his portfolio career includes teaching banjo and fiddle as well as performing professionally. Public sector ...
A week rarely goes by without a major data security breach. Recent news includes a breach impacting an energy company’s 8 million customers, another compromising the information on 450,000 current and ...
Forbes contributors publish independent expert analyses and insights. I write about disruptive companies, technologies and usage models. I recently sat down with Sanjay Poonen who now leads Cohesity ...
Information technology and data constitute valuable Connecticut College assets. The purpose of data classification is to identify college data and it’s sensitivity. In order to protect the security, ...
Managing AI data risks is not just about hallucinations or biased models. It's about volumes of data being exposed through ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results