Devilray: A Systematic Adversarial Model Revealing Blind Spots in Fake Base Station Detection

Fake Base Station FBS detection has been a critical focus of cellular security research for over two decades. However, significant financial and regulatory barriers to accessing commercial FBS C-FBS devices have limited direct visibility into real-world operations, forcing detection systems to be...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

How to Close Threat Detection Gaps: Your SOC's Action Plan

Running a SOC often feels like drowning in alerts. Every morning, dashboards light up with thousands of signals; some urgent, many irrelevant. The job is to find the real threats fast enough to keep cases from piling up, prevent analyst burnout, and maintain client or leadership confidence. The...

Why SIEM Rules Fail and How to Fix Them: Insights from 160 Million Attack Simulations

Security Information and Event Management SIEM systems act as the primary tools for detecting suspicious activity in enterprise networks, helping organizations identify and respond to potential attacks in real time. However, the new Picus Blue Report 2025 , based on over 160 million real-world...