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The landscape of data protection and privacy has undergone significant transformations worldwide, with Quebec’s Law25 emerging as a pivotal legislative piece within Canada.
The Colorado Privacy Act and Connecticut Data Privacy Act share a common framework but differ in key ways. This guide breaks down both laws, compares their definitions of personal data, de-identification, and sensitive data, and explains how organizations can use Limina's technology to simplify compliance — or eliminate the applicability of these laws altogether.
Tokenization replaces sensitive data with non-sensitive tokens, offering robust protection against breaches, reduced compliance obligations, and operational flexibility. Learn how it works, how it relates to de-identification, and why it matters across regulated industries.
The European Union’s General Data Protection Regulation (GDPR) regulates what kind of processing is permitted that involves “special categories of data,” which includes race, origin, religious belief, and health data, among others.
Private AI, a leading provider of data privacy solutions, has introduced a Cloud API for its cutting-edge PII detection, redaction, and data minimization solution. This innovative tool is set to transform how businesses safeguard and manage sensitive customer data.
End-to-end privacy management refers to the process of protecting sensitive data throughout its entire lifecycle, from the moment it is collected to the point where it is destroyed.
The evolving landscape of data protection in Canada sees provinces enacting or refining their respective privacy legislations to address the challenges of the digital age.
At Private AI, we pride ourselves on making scalable solutions for large companies, small businesses, and government institutions that need to securely handle the potentially sensitive data and information that is flowing through their infrastructure.
Generative AI has become a cornerstone of modern technology, with potential applications ranging from content creation and customer service to scientific research and healthcare.
Data lakes are messy with vast amounts of data scattered everywhere as they serve as repositories for a myriad of structured and unstructured data.
Healthcare data breaches now cost an average of $7.42 million per incident, according to IBM's 2025 Cost of a Data Breach Report — down from $9.77 million in 2024, but still the most expensive sector for breaches by a wide margin. This article breaks down why health records are prime targets, what noncompliance actually costs, and what organizations can do to reduce their exposure before a breach happens.
In today’s data-driven landscape, the use of AI-based solutions, such as ChatGPT, has become increasingly prevalent.
Data leaks are a serious threat to any business, and particularly those handling sensitive personal information, such as customer’s financial or health records.
New York State has taken a step towards ensuring responsible and ethical use of Artificial Intelligence (AI) technologies in the public sector through its newly established Acceptable Use of Artificial Intelligence Technologies policy.
Let’s say you need to run sentiment analysis on a PII in dataset of reviews. You will use one of the pre-trained models offered by HuggingFace. There is only one problem: Your reviews contain names, addresses, and other Personal Identifiable Information (PII). What should you do?
