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Showing posts from September, 2025

Threat Hunting & AI in SOC | Ben McGavin, Justin Dolgos, Todd Willoughby (RSM) with Vladislav Babiuk

Welcome to another episode of SOC Stars, hosted by Vladislav Babiuk from Stellar Cyber. In this episode, Vlad is joined by the threat hunting experts from RSM — Ben McGavin, Justin Dolgos, and Todd Willoughby — for an in-depth conversation on the future of threat hunting, AI in SOCs, and the path toward autonomous security operations. Read Full Article

Stellar Cyber Improves SOC Operations with Human-Augmented Autonomous Cybersecurity

Security operations centers face an unprecedented challenge: thousands of daily alerts overwhelming analyst teams while sophisticated threats demand immediate response. At Black Hat USA 2025 in Las Vegas, Stellar Cyber presented a revolutionary approach that fundamentally reimagines how SOCs operate in the age of AI-driven threats. Read Full Article

What is Endpoint Detection and Response?

Endpoint detection and response represents a critical security capability that modern mid-market companies desperately need. EDR tools provide comprehensive monitoring and threat response for endpoints within AI-driven SOC operations and Open XDR platforms. Read Full Article

What is User Entity and Behavior Analytics?

Modern cybersecurity faces an unprecedented challenge: traditional security measures fail against sophisticated insider threats and compromised credentials. User entity behavior analytics emerges as a critical solution. Read Full Article

Building the Right Foundation for the Future SOC

Every security leader faces the same question: what should be at the core of a modern SecOps platform? CrowdStrike, SentinelOne, and others argue for an endpoint-first approach: start with EDR, then bolt on SIEM and any NDR. At Stellar Cyber, we believe the stronger foundation comes from SIEM + NDR, plus any EDR. Read Full Article

Lights-Out SOC? Yes, It’s Coming (and Faster Than You Think)

Back in the mid-90s, I watched with curiosity as an IBM machine beat Gary Kasparov in chess. At the time, it felt like a fun computer science parlor trick, this interesting software machine that could hold its own against the world champion. But looking back, that moment was a clear harbinger of what we now accept as inevitable: In any domain governed by rules, data, and pattern recognition, the sad fact is that machines will eventually win. Read Full Article