Sensitive data often makes its way into logs. Though most of the time unintentional, these incidents have the potential to do a lot of damage, as they usually involve exposure of API keys, passwords, and customer data that can give attackers access to critical business data or put companies at compliance risk. This is why it’s important for organizations to be proactive about securing their logs.

We’re pleased to announce that Nightfall is partnering with Hanzo, a best-in-class enterprise e-discovery and investigations platform. Hanzo’s offerings, now powered by Nightfall DLP, include Nightfall’s machine learning detectors as part of Hanzo’s core functionality.

The current wave of digital transformation that has brought more and more businesses online has also introduced an unwelcome side effect: the surface area for attacks has ballooned. As individuals and businesses migrated their sensitive transactions into cloud applications, cloud service providers became responsible for providing high-fidelity data security.

The Gramm-Leach-Bliley Act, known as the GLBA, was passed in 1999 under President Clinton. The goal of the GLBA was to update and modernize the financial industry. Today, it’s primarily used to protect customer and consumer information, with steep penalties for financial institutions that violate its privacy rules. Here’s what you need to know about the GLBA and its regulations.

Our team has been hard at work with continuous updates to improve and streamline the Nightfall DLP platform. We wanted to share with you the latest platform updates guaranteed to improve the speed at which security administrators and teams will be able to remediate incidents. Here’s what’s new.

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Observability (logs, traces, metrics) is a core tenet to building strong software systems. Logs are used to debug issues and check on system activity, traces provide valuable insights into system performance and architecture, and metrics allow engineering teams to closely track business metrics within their systems.

As businesses and health organizations seek to strengthen cybersecurity, they’re turning frequently to compliance frameworks to help prioritize, guide, and improve decision-making and implementation. Two of the more popular compliance frameworks are the NIST CSF and the ISO 27001. For IT teams seeking to better understand the difference between these frameworks, as well as which is the ideal tool for their business, here’s what to know.

Data exfiltration, quite simply, is the risk of your data ending up somewhere it doesn’t belong. Though this definition might seem simple, understanding this risk is quite complicated — especially as companies migrate their data into the cloud. Companies that work remotely using cloud platforms like Google Drive, AWS, or Jira often struggle to maintain the visibility needed to ensure their data remains secure.

Unstructured data is data that cannot be processed and analyzed using conventional data tools and methods: qualitative data, such as customer feedback or social media posts are considered unstructured data. Unstructured data is particularly prevalent in the healthcare industry, where patient records, doctors’ notes, and other unstructured data can make upward of 80% of data within a healthcare organization.