Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Hardening is Reflected in the Different NIST Standards

NIST hardening standards and best practices refer to a collection of guidelines and recommended methods created by NIST (National Institute of Standards and Technology). These standards are crafted with the intention of strengthening the security and robustness of information systems. They serve as a structured approach for organizations to fortify their systems against possible security vulnerabilities and the risks associated with them.

Introducing GitGuardian's Generic Secrets Enricher

GitGuardian is proud to introduce our new Machine Learning-powered Generic Secret Enricher, helping all customers quickly understand the origin and type of discovered generic secrets. The 2025 GitGuardian State of Secret Sprawl report shows that 58% of all detected secrets fall into the generic category.

CloudCasa Feature Update March 2025 - File Level Restore

Spring has just begun at most of Catalogic’s locations around the world, and outside plants are just beginning to sprout. But the CloudCasa team has been busy through the winter growing a bumper crop of new features and, to stretch the metaphor maybe a bit too much, now we’re ready to harvest them! We think you’ll be impressed with the new additions to CloudCasa in this release.

GitLab to Azure DevOps Migration

Switching from GitLab to Azure DevOps offers the opportunity to reconsider your processes, streamline your pipelines, and match your tools with your objectives. Primarily if your company uses Microsoft software. Still, more than just technical expertise is needed for such a migration. It includes a plan to handle any potential problems. This article will help you get familiar with the complexities of migrating projects, repos, metadata, etc., between GitLab and Azure DevOps platforms.

Enhancing Application Security with Container Runtime Security

Containerization, a form of lightweight virtualization, lets applications inhabit their own self-contained environments. Each container packages everything an application needs to run – code, runtime, libraries – keeping it neatly separated from everything else. This isolation is a big deal because it means a problem in one container won’t bring down the whole environment.