4 in 1 Data Compliance for Fast Growing Companies

…means, where it lives, and how risky it is. BigID pioneered the capability to find, classify, and validate all of your sensitive, personal, critical, and regulated data – across today’s…

Situational Data Awareness: A Bigger Idea for 2021

Data drives business. 2020 brought that reality into greater focus as data-driven communications and commerce became the predominant way consumers, business, educators, and governments interacted, collaborated, and transacted with one…

10 Data Privacy Predictions for 2024 & Beyond

…January 2023, Ireland’s (DPC) issued a €390 million ($425 million) fine in connection to Facebook and Instagram related to their terms of services and forced “consent”. In June 2023, the…

New Hampshire Privacy Act: SB 255 Prep

and Accountability Act (HIPAA) Financial institutions subject to the Gramm-Leach-Bliley Act It is crucial for companies to understand whether they are subject to the NHPA and to take the necessary…

SEC Cybersecurity Disclosure Regulation Checklist

compliance with the SEC’s new cybersecurity rules and requirements: Cybersecurity Incident Prevention: Discover dark, shadow, ROT, duplicate, similar, non-business critical data, and more. Map, label, tag, and flag sensitive, high-risk…

What is the California Privacy Rights Act (CPRA)?

…data privacy laws, the California Privacy Rights Act (CPRA, a.k.a., CCPA Version 2.0) further expands data protections for consumers — and regulations for businesses. Why New California Privacy Regulations ……

DSARs: The Essential Privacy Problem

…activity to accommodate various request portals, configurable response types, work-flow for analysts, batch for larger volume scenarios and consent integration. Now, finding and inventorying data on every individual an organization…

How to Automate Safe Data Analytics for Financial Services

…data sets using AI- and ML-based techniques, and classifies data based on sensitivity and data type—including health-related data, personal data, asset-related data, and so on. “What we come back with…