Remove category
Remove Definition Remove Events Remove Financial Services Remove Risk
article thumbnail

NYDFS proposes significant cybersecurity regulation amendments

Data Protection Report

On November 9, 2022, the New York Department of Financial Services (NYDFS) officially proposed changes to its cybersecurity regulation and opened a 60-day public comment period. Revised Definition of Class A Companies and other Key Requirements. Notice of Cybersecurity Event. Business Continuity and Disaster Recovery.

article thumbnail

The Impact of Data Protection Laws on Your Records Retention Schedule

ARMA International

Definition and Purpose of a Records Retention Schedule. These records are typically organized by grouping them by function or department and then described as either an individual record or grouped together into a record category. 8 This is the GDPR definition and other countries have similar broad definitions of personal data.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

China’s PIPL has finally arrived, and brings helpful clarification (rather than substantial change) to China’s data privacy framework

DLA Piper Privacy Matters

Definition of Personal information and Sensitive Personal information “Personal information” means any kind of information relating to an identified or identifiable natural person, either electronically or otherwise recorded, but excluding information that has been de-identified or anonymised. This aligns with the new Data Security Law.

article thumbnail

NYDFS proposes significant cybersecurity regulation amendments

Data Protection Report

On July 29, 2022, the New York Department of Financial Services (NYDFS) announced a “pre-proposed outreach” of material proposed changes to almost every section of its cybersecurity regulations, and would affect each entity covered by the current regulations of 23 NYCRR Part 500. Cybersecurity Risk Assessments.

article thumbnail

Why you should keep data observability separate from data cleansing

Collibra

This want to commingle the solutions likely stems from the Gartner definition published in the Magic Quadrant for Data Quality Solutions, which rightfully states that data quality needs “identification, understanding[,] and correcting flaws in data.”. Consider the examples from our peer industries: Operational Risk.

Risk 91