A long time ago, in a SOC far, far away…analysts were drowning in alerts, chasing context across fragmented screens, and watching real threats slip past detection gaps. Today, the Rebellion fights back.

Syslog has been the backbone of infrastructure logging for decades. Network devices, operating systems, firewalls, and applications rely on it to send operational data.

Most teams don’t intentionally build weak authentication systems. It usually happens gradually.

Organizations deploying GPU infrastructure for AI training and inference are facing a new set of networking challenges. Unlike traditional enterprise applications, AI workloads generate unique traffic patterns, including large-scale data ingestion before training, high-bandwidth model checkpoint transfers to distributed storage, continuous inference requests from thousands of users, and ongoing management traffic that crosses cluster boundaries.

A recent incident involving a famous singer has left fans shocked and served as a powerful reminder to industry professionals about the vulnerability of sensitive data—even at the highest levels of production. Known for maintaining strict secrecy around upcoming releases, the artist now faces a serious risk of leaks after unreleased music was stolen.

Deploying hardware security keys like YubiKeys is one of the most effective ways to prevent phishing and credential-based attacks. Yet for many IT teams, the initial promise of stronger, phishing-resistant security is often offset by the operational burden that comes with managing these devices at scale.

Every data architect knows the struggle. Data modeling often begins with a blank canvas, vague requirements and countless hours spent translating business concepts into structured models for each new project. Meanwhile, your team is under constant pressure to deliver production-ready models faster than ever — yet manual processes continue to slow everything down.

Threat actors are leveraging fake meeting invitations for Zoom, Microsoft Teams, Google Meet, and other video conferencing platforms to trick users into installing remote monitoring and management (RMM) tools, according to researchers at Netskope.