Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Governance Framework: Unlocking the Power of Enterprise Data

Data has become the lifeblood of modern businesses, influencing important business decisions and powering digital transformation initiatives. As more data comes in and new sources appear, it’s important to manage this valuable asset effectively. Here is where a strong data governance system comes into play.

Modern data security: why the convergence of DLP and IRM is more effective than the sum of its parts

In the past decade, organizations seeking to protect sensitive data from negligent or malicious insiders faced two choices: invest in a Data Loss Prevention (DLP) product or an Insider Risk Management (IRM) product. These solutions addressed the same problem from different angles. DLP products focused on analyzing data content to control its movement, while IRM products monitored user behavior for risky actions.

Best Practices for Supply Chain Security in Response to Polyfill.io Attack

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Data Scraping Legal Issues: Exploring hiQ vs LinkedIn Case

The high-profile case of hiQ Labs Inc vs LinkedIn Corporation (that took place in the US) shed light on the much-discussed data scraping legal issues. We know you don’t want to get lost in legalese. So, we have prepared an easy-to-read summary of the most important points of this decision. The court sided with the scraper and established that scraping public data is not a violation of the CFAA (Computer Fraud and Abuse Act).

Why Dynamic Data Masking (by Itself) Isn't Enough

As more reports of massive data breaches surface, implementing a robust data protection strategy is not an option but a must. Sensitive data must be secure whether it’s in use, in transit, or at rest. No matter where the data is stored or viewed, it must be protected to accomplish National Institute of Standards and Technology requirements and many other regulations. Protecting data, your most sensitive assets is critical.