In today’s rapidly evolving global regulatory landscape, new technologies, environments and threats are heightening cybersecurity and data privacy concerns. In the last year, governing bodies have taken significant steps to enact stricter compliance measures—and more than ever, they are focusing on identity-related threats. Some notable changes include: Zero Trust is a common thread in many recent regulatory changes.

It’s finally here! Microsoft’s new external authentication methods (EAM) is now available in public preview, set to replace custom controls. For the past couple of months, we’ve been working closely with the Microsoft Entra ID team to bring you this highly anticipated security enhancement. External authentication methods integration with CyberArk delivers enhanced security while simplifying user experiences.

In today’s digital landscape, Privileged Access Management (PAM) has evolved beyond rotating and vaulting privileged credentials for long-lived systems. As organizations expand cloud investment and scale sustainable hybrid work, PAM has also grown into a multi-faceted discipline that must secure all identities across the enterprise.

Recently, we researched a project on Portainer, the go-to open-source tool for managing Kubernetes and Docker environments. With more than 30K stars on GitHub, Portainer gives you a user-friendly web interface to deploy and monitor containerized applications easily. Since Portainer is an open-source, we thought CodeQL, an advanced code analysis tool, be a good fit to check its codebase for any security issues.

As retailers prepare for a season of high-demand online shopping, the risks of cyberthreats continue to grow, much like the need for increased security in a bustling mall on busy shopping days. In today’s retail landscape, identity security serves as the “mall security team” of the digital world—working behind the scenes to protect customer trust and to help ensure seamless, secure shopping experiences.

The new discovery service, delivered by the CyberArk Identity Security Platform, introduces new capabilities and streamlines the scanning of environments containing *nix, Windows and MacOS target machines. The new service offers SaaS-based flexible scans, local accounts discovery based on endpoint agents, data collection and enhanced automation using Discovery rules.

As large language models (LLMs) become more advanced and are granted additional capabilities by developers, security risks increase dramatically. Manipulated LLMs are no longer just a risk of ethical policy violations; they have become a , potentially aiding in the compromise of the systems they’re integrated into.