Category: Data Protection

Never trust; always verify. This precept lies at the core of the cybersecurity approach known as Zero Trust — a framework that is rapidly supplanting the traditional “trust …

This is part three of a series that focuses on how to use automation to improve agility and accelerate data initiatives. In 2023, companies will face new challenges …

Managing and protecting sensitive data including customer and employee personal data is good business and can help your bottom line. Complying with privacy regulations minimizes risk of exorbitant …

DISA has compiled a set of 8 guiding principles for DoD data – these are all published in the DISA Data Strategy Iplan v1.0.  In this series, we’ll …

The rapid growth of the cloud and the proliferation of devices and data, along with the constantly evolving tactics of adversaries, have created unprecedented challenges for cybersecurity. To …

Security Teams are overwhelmed with the abundance of security tools (software) and noise they produce. The Security community has been leveraging automation to cut through the noise, augment …

DLP Framework Data Loss Prevention (DLP) addresses data security concerns through policies and rules that prevent sensitive data from leaving the organization. The rules are based on what …

The never ending increase in data’s volume, variety, velocity, and veracity has never been more true than today. Cloud native and hybrid data source proliferation has multiplied security …

With the acceleration towards multi-cloud and hybrid models, IT environments are growing in size and complexity. Security teams are increasingly facing the challenge of getting a complete picture …