Looking for ways to simplify your cloud DLP workflows in 2024? Read on for 3 ways that Tines—our go-to secure workflow builder—can make your resolutions a reality. First, let’s learn a little about how Tines works. In short, Tines helps users to create “stories” (aka workflows) that streamline communications, automate tasks, and more. Tines stories can take any number of twists and turns by: But how can you put these actions into practice?

How many of us use ChatGPT? And how many of us use SaaS applications as part of our daily workflows? Whether you know it or not, if you use either of these tools, your data has likely traveled beyond the boundaries of your “fort.” What do I mean by “fort,” exactly? For this guide, consider your “fort” to be somewhere where you can monitor and secure your data. When data leaks outside your “fort,” it presents a myriad of possible risks.

Bearer CLI, our free and open code security (SAST) scanner, has now been downloaded over 50,000 times since its launch back in March — this year! Behind this number are represented some key industry trends: Let’s dig in!

No matter the size of your business, there are assets and data you have on your premises that you need to keep secure from people outside of your organisation. Whether it’s hard copies of personnel data, server rooms, or safety-critical infrastructure, that information, or how to gain access to that information will likely have some value to bad actors willing to use or exploit it.

It’s official: Nightfall has been named as a leader in Data Loss Prevention (DLP), data security, and sensitive data discovery by G2’s peer-reviewed marketplace. At Nightfall, our goal is to help customers to discover, classify, and protect their sensitive data across the cloud.

Nightfall AI is excited to announce a new generation of detectors powered by generative AI (GenAI). Read on to learn more about recent advancements in our PII, PHI, secrets, and images detectors—as well as how they stack up against competitors like AWS Comprehend, Google DLP, and Microsoft Purview.

There are various ways to measure any given machine learning (ML) model’s ability to produce correct predictions, depending on the task that the system performs. Named Entity Recognition (NER) is one such task, in which a model identifies spans of sensitive data within a document. Nightfall uses NER models extensively to detect sensitive data across cloud apps like Slack, Microsoft Teams, GitHub, Jira, ChatGPT, and more.

Data is the lifeblood of organizations. It drives decision-making, fosters innovation, and underpins business operations. However, this wealth of data is scattered across multiple cloud platforms, making it an attractive target for cybercriminals, and rendering traditional approaches to data protection obsolete. This is where data-centric security comes into play. This article will explore the concept of data-centric security, why businesses need it, and the benefits it offers.

Navigating the delicate balance between an expanding number of engineers and the imperative for robust Application Security (AppSec) practices is no small feat. In this interview, we delve into the invaluable perspective of Jeevan Singh, the Director of Security Engineering at Rippling, the #1 workforce management platform. He shares insights and strategies that have allowed him in his career to successfully navigate the intricate maze of security amidst a high engineer-to-AppSec ratio.