And so it continues. Last month, Virginia passed its own privacy law, the Virginia Consumer Data Protection Act (VCDPA), adding fuel to the fire over a US federal privacy law, and introducing new complexities for businesses operating in or addressing the US market. It will take effect on January 1, 2023 (the same day as California’s CPRA which amends the current CCPA) and was passed in record-breaking time: less than two months, and by an overwhelming majority.

Working toward GDPR compliance means taking inventory on the data you collect and process. You've mapped your data, have a catalog of impact assessments, but now you need a way to present it in a way that regulators can look over. As far as the general data protection regulation (GDPR) is concerned, every piece of data processing you do needs a record, and those records are stored in a record of processing activities (ROPA). Regulators use a ROPA to get a full picture of your data processing.

Personal information (PI) enables businesses to customize the customer experience and boost sales. However, consumer rights advocacy and privacy regulations, such as the EU’s General Data Protection Regulation (GDPR) and state data privacy laws enacted in the United States, limit the collection of PI. Preeminent among these laws is the California Consumer Privacy Act of 2018 (CCPA).

Encryption has been a hot topic of discussion during the implementation phase of most data privacy laws. In the age where organizations are dealing with large volumes of data each day, the protection of this sensitive data is critical. The data, which is seen as a business-critical asset for organizations, should be protected against malicious hackers looking for opportunities to steal the data.

Data protection impact assessments (DPIA), sometimes referred to as a Privacy Impact Assessment (PIA), are a tool used to describe how you intend to process and protect the personal information(PI, PII, etc) of individuals. Many forms of regulation including the GDPR and some compliance standards will require a DPIA depending on the risk levels associated with the data you are processing.

CCPA, the recent legal privacy innovation in the US, has introduced a lot of requirements for online businesses. We have previously covered the principle of accountability in both CCPA and GDPR, and how an audit log of all data-related activities as well as handling user rights’ requests is important for CCPA compliance. But we sometimes get the question “Is your SIEM going to help us with CCPA compliance?” or even “Is SIEM required for CCPA compliance?”.

It’s hard to ignore the GDPR these days, with headline-making fines and regular news updates on the continuing impacts of data protection post-Brexit. Most business will be aware of what they have to do for the GDPR, with increasing numbers actively doing something about it. But there is another privacy regulation that UK businesses must comply with.

The General Data Protection Regulation (GDPR) is the toughest privacy and security law in the world, yet few organizations are completely compliant with its statutes. Complacency is dangerous territory. Non-compliant entities could be fined up to £18 million or 4% of annual global turnover (whichever is greater). This post clearly outlines the standards set by the GDPR and provides a checklist to help organizations remain compliant.

This is your go-to reference for examples of sensitive data, definition and GDPR personal data including how to identify, classify and protect sensitive data. Highlights It is now easy to access information relating to an individual from the north pole to the south pole with a fast-moving world. You have ever wondered how your personal information is protected or even handled?

GDPR enforcement (and therefore fines) has been on the rise recently. And after the initial “compliance on paper” that many consultants offered, it’s time to address the cybersecurity aspects underlying GDPR. We have previously addressed the logging requirements of GDPR and now we are going to review the “why” in addition to the “what”.