In today’s data-driven world, organizations handle vast amounts of sensitive information daily. Data compliance and robust governance are crucial for maintaining data integrity, confidentiality, and availability while avoiding the pitfalls of a privacy breach or noncompliance.
This article discusses what it means to implement data governance policies for data compliance across several different (privacy-centric) frameworks.
Cybersecurity trends are moving from checklist compliance to comprehensive, risk-driven security. This is just as true in the European Union, where data subject privacy and security requirements are strict.
Fortunately, GDPR provides significant guidance on general risk management and specific risk assessment requirements. We’ll cover those requirements here.
New data security regulations include, or foreground, the role of data privacy in compliance. Many of these, like GDPR and CCPA, make data privacy a primary concern and expect businesses to meet stringent requirements about protecting the integrity of consumers’ Personally Identifiable Data (PII). One practice stemming from GDPR requirements is the Data Privacy Impact Assessment (DPIA).
In this article, we’ll discuss DPIAs and some challenges organizations might face in preparing for them.
