In the past decade, organizations seeking to protect sensitive data from negligent or malicious insiders faced two choices: invest in a Data Loss Prevention (DLP) product or an Insider Risk Management (IRM) product. These solutions addressed the same problem from different angles. DLP products focused on analyzing data content to control its movement, while IRM products monitored user behavior for risky actions.

Brazil's data protection authority, Autoridade Nacional de Proteção de Dados (ANPD), has issued a temporary ban on Meta from processing personal data of users to train its artificial intelligence (AI) algorithms. This decision stems from concerns over inadequate legal justification, lack of transparency, and potential risks to privacy rights, particularly for children and adolescents.

On April 23, 2024, the Federal Trade Commission (FTC) issued a ruling that banned the use and enforcement of non-compete agreements across the United States. With this ruling, enterprises that relied on these agreements to help preserve their competitive advantage must adapt their strategy for protecting proprietary information when an employee departs. Read on for a breakdown of the ruling, what strategies remain open for dealing with this risk, and how security teams can help their organization adapt.

We're excited to announce the introduction of Exact Data Match (EDM) to Cyberhaven’s suite of Data Loss Prevention (DLP) capabilities. Although EDM technology has been in use since the 2000s, Cyberhaven is adapting and advancing this technology to meet the demands of today’s data security challenges. Read on to learn more!

So, you’re all set up with Amazon Simple Storage Service (Amazon S3), because you’re looking for best-in-class solutions for your company’s structured and unstructured data. Smart. But there’s more to do. Here are some myths about your Amazon S3 data, the real story behind them. Phew! We’re glad you agree that your Amazon S3 data needs strong protection. Wise decision. Here’s where we can help with a faster, cheaper, better solution.

Modern businesses operate in a data-centric world, where every byte of information holds the potential to drive growth, innovation, and competitive advantage. But as our reliance on data deepens, so does our vulnerability. Cyberthreats are evolving at an alarming pace, natural disasters loom as ever-present risks, and the complexities of modern IT environments—from huge cloud infrastructures to containerized applications—demand a new approach to data protection.

Did you know that in 2023, over 133 million healthcare records were breached? Healthcare has remained the most popular target for hackers and cybercriminals to attack. Why? These industries contain a huge amount of sensitive information, including: With such a vast amount of data at stake, tools for doctors should focus on privacy and security and help keep healthcare information safe from data breaches.

Machine learning-based data loss prevention (DLP) file classifiers provide a fast and effective way to identify sensitive data in real-time, empowering organizations with granular, real-time DLP policy controls. Netskope Advanced DLP offers a wide range of predefined file classifiers, such as passports, driver’s licenses, checks, payment cards, screenshots, source code, tax forms, and business agreements.