How to Deploy CurrentWare for Remote Employees (v12) | CurrentWare

Want to monitor and secure employees who work from home? With CurrentWare’s remote employee monitoring and cybersecurity software, you can improve employee productivity, data security, and business intelligence with advanced awareness and control over how technology is used in your organization. With Currentware, you can... Monitor employee internet and application use Restrict employee internet use & block unsafe sites Block USB portable storage devices to protect sensitive data Remotely startup and shutdown offsite computers.

Why identity security is foundational for crypto agility in the post-quantum era

Cryptographic failures have a knack for turning a quiet weekend into a chaotic, all-hands-on-deck emergency. Consider the SHA-1 to SHA-2 deprecation, sometimes referred to as “Shapocalypse,” which sent teams scrambling to reissue thousands of certificates and exposed how many legacy systems weren’t ready for stronger hash algorithms. The major Certificate Authority (CA) distrust events involving DigiNotar in 2011, Symantec in 2017-18, and Entrust in 2024-25 created similar disruption.

How to Install CurrentWare On-Premises (v12) | CurrentWare

In this video we will show you how to install CurrentWare's device control, web filtering, and computer monitoring software on-premises. After completing this tutorial you will be able to monitor and control your users' computers from CurrentWare’s central management console. If you would like to learn how to use CurrentWare to monitor remote workers, that topic is covered in another tutorial. Please see the CurrentWare knowledge base at Currentware.com/support for more details.

AI Agents Are The New Detection Problem Nobody Designed For

AI agents now operate as core identities in enterprise environments, authenticating, accessing data, and executing workflows at machine speed. Their flexibility and scale introduce a detection challenge traditional security models were never built to solve. Exabeam has seen this pattern before with insider threat and workload identities. AI agents accelerate the need for identity-centric detection.

CrowdStrike Is the Only Vendor to Be Named a Customers' Choice in 2025 Gartner Voice of the Customer for External Attack Surface Management

External attack surfaces are expanding faster than most organizations can track. Internet-facing cloud services, network devices, commercial AI tools, and third-party infrastructure are driving the growth of unintended exposure outside security teams’ control.

International AI Safety Report 2026: What It Means for Autonomous AI Systems

The International AI Safety Report 2026 is one of the most comprehensive overviews to date of the risks posed by general-purpose AI systems. It’s compiled by over 100 independent experts from more than 30 countries, and shows that while AI systems are performing at levels that seemed like science fiction only a few years ago, the risks of misuse, malfunction, and systematic and cross-border harms are clear. It makes a compelling case for better evaluation, transparency, and guardrails.

AI Security in 2026 Starts With Identity #cybersecurity #datasecurity #identitysecurity

As AI adoption grows, identity risk grows with it. Dirk Schrader, VP of Security Research at Netwrix, explains why governing human and machine identities is foundational to securing AI systems. How are you governing identity in your AI workflows today?

The Agentic AI Governance Blind Spot: Why the Leading Frameworks Are Already Outdated

Approach any security, technology and business leader and they will stress the importance of governance to you. It’s a concept echoed across board conversations, among business and technology executives and of course within our own echo chamber of cybersecurity as well. For example, the U.S. Cybersecurity Information Security Agency (CISA) has a page dedicated to Cybersecurity Governance, which they define as.

Containerization vs Virtualization: Which to Choose?

Containerization vs virtualization is a decision that impacts your infrastructure’s performance, scalability, and costs. Both technologies isolate applications and optimize resources, but they work differently. Virtualization creates full virtual machines with separate operating systems; containerization packages applications with only the dependencies they need.