Protecting data in the context of zero trust means moving beyond perimeter-based defenses to a model where no user, device, or application is inherently trustworthy. As a result, every access request is verified, continuously monitored, and limited to the minimum necessary permissions needed to perform a job function. This approach reduces the risk of insider threats, compromised credentials, and...

Is your organization prepared for the evolving cybersecurity landscape? The Zero Trust model, developed by Forrester Research, is transforming how businesses protect their networks

As the federal government is working to secure critical infrastructure organizations and its own agencies, law enforcement is hard at work taking down large-scale phishing networks and state-sponsored botnets. Get up to speed on these stories and more in this week's Friday Five.

Security Service Edge (SSE) is a cybersecurity concept that delivers key security capabilities from a cloud-based platform. Read this blog to learn more about what SSE comprises, use cases, and its advantages.

Curious how sensitive information differs from personal information? We break down examples, what can happen when that data is exposed, and best practices for protecting sensitive data in this blog.

Data fulfills its purpose and potential when deployed for the right uses. This often requires moving data across systems, platforms, and networks to the target endpoints where it is utilized.

Data loss prevention (DLP), especially in the cloud, will help keep your organization’s private data secure while it’s being used and shared.

Learn about how security operations centers work and why many organizations rely on SOCs as a valuable resource for security incident detection.

Digital Guardian is excited to share that our Data Protection Platform has been designated a Cyber CatalystSM solution!

LocalBlox, a data firm that bills itself as "a powerful, scalable and distributed data acquisition platform" is the latest company to mistakenly leave data out in the open on a publicly accessible Amazon Web Services (AWS) S3 bucket. The company, based in Bellevue, Wash. left a slew of data online; 48 million records containing information on tens of millions of individuals including names, addresses, and dates of birth. The dataset also included data apparently scraped from Twitter handles, along with LinkedIn and Facebook profiles. Data from Zillow, a popular real estate site, has also been scraped and composited into the dataset. The company was notified of the unsecured bucket by researchers with UpGuard, a Mountain View firm that's had a knack for uncovering data sets like this as of late. The firm notified LocalBlox on February 28 and the bucket was secured later that day, UpGuard said Wednesday. The bucket contained a single 151.3 GB compressed file that decompressed to a 1.2 terabyte Newline Delimited JSON file. According to researchers, who combed through the dataset when they first came across it in a subdomain, “lbdumps,” on February 8, each record is in JSON format.