Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Protection

Freedom to Innovate: Data Privacy Methods

Your data protection methods provided through your platform are your lines of defense against cybercriminals, ransomware, and malware. In this episode, we explore the differences between data security, data protection, and data privacy. James Rice and Clyde Williamson will explore business cases, data access control, Protegrity technology, and detail out the inner workings behind data privacy.

Modern Data Protection Safeguards for ChatGPT and Other Generative AI Applications

Co-authored by Carmine Clementelli and Jason Clark In recent times, the rise of artificial intelligence (AI) has revolutionized the way more and more corporate users interact with their daily work. Generative AI-based SaaS applications like ChatGPT have offered countless opportunities to organizations and their employees to improve business productivity, ease numerous tasks, enhance services, and assist in streamlining operations.

The Easiest Ways To Protect The Important Data In Your Company

Protecting important data within a company is essential for the organization's success. Without proper security measures, companies can be vulnerable to cyber-attacks and other data breaches, leading to financial losses and reputational damage. Furthermore, businesses are legally required to protect their customers' personal information and adhere to certain industry regulations.

Why you're struggling with data protection

This blog is based on insight from our 2023 State of Cyber Security report. This month sees GDPR celebrate its 5th birthday, and during that time it’s stayed more-or-less the same. With unchanging rules and half a decade of time to get data protection things in order, you might think that the need for GDPR consultancy is dwindling. However, as we showed in our 2023 State of Cyber Security report, that’s sadly not the case.

Consider Protegrity For Your Cloud Security

As companies migrate sensitive data to cloud-based applications like Snowflake and the Google Cloud Platform, prioritizing a data security solution with easy-to-use security controls is the key to your company's success. With Protegrity, you'll be able to manage sensitive data, no matter where it goes.

Data Protection in Insurance: Compliance Requirements for the Insurance Companies

As desirable targets for cybercriminals, insurance companies must comply with strict data protection requirements. Non-compliance often leads to data breaches and considerable fines. In this article, you’ll learn about eight data protection best practices for insurance organizations to comply with relevant laws, regulations, and standards and safeguard your customers’ sensitive data.

De-Identify Your Data

It's Time to 'De-Identify' Your Data. In the face of costly data breaches and increasing regulatory pressure, protecting your data and that of your customers should be your top priority. rotegrity can fully protect your data as it moves through cloud and on-premises environments with pseudonymization, anonymization, and other future-forward data protection methods.

Cloud Protect Overview

In today's world, more and more companies are moving their data to the cloud, but malware and cyberattacks still exist. Protegrity can help your company remain secure even as it explores different cloud environments. From SaaS applications to data stockpiles, Protegrity Cloud Protect simplifies the enforcement and management of data-security policies across disparate cloud systems and tools - all through one centralized solution.

Understanding Data Protection Needs in a Cloud-enabled Hybrid Work World

Today, Netskope partnered with the Cloud Security Alliance to release the Data Loss Prevention (DLP) and Data Security Survey Report, a survey focused on data protection needs in cloud and hybrid work environments. Unsurprisingly, the report found that the biggest pain point organizations identify with trying to modernize their data protection strategy is that current DLP deployments show limitations when it comes to cloud and remote work use cases, and they are a nightmare to manage.