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.

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.

A Hitchhiker's Guide To Cross-border Data Protection

Imagine doing business in a bubble. You are an international company only allowed to make decisions using data collected within your country and by your business unit (BU). You also cannot share data with subsidiaries or third parties. It would be challenging to conduct day-to-day business, let alone innovate and grow. Fortunately, this isn’t the state of business today. Organizations transfer trillions of data points across borders daily.

Your DPO Questions Answered

Every business that collects personal data via a website, app, or even via the phone/post will find that they need the skills and expertise of a Data Protection Officer at some point to ensure safe and confidential data processing. But what is a DPO exactly? Do you really need one? And what if you don’t want to hire someone full time? Read on to find out more about the roles and responsibilities of the DPO and when to hire one to secure your data.

3 Ways To Address Your Kubernetes Data Protection Challenges

Kubernetes is an open-source container orchestration tool originally developed by Google for managing microservices or containerized applications across a distributed cluster of nodes. It is widely thought that “Kubernetes is key” to cloud-native application strategies. Kubernetes (K8s) runs over several nodes, and the collection of nodes is called a cluster. K8s clusters allow application developers to orchestrate and monitor containers across multiple physical, virtual, or cloud servers.