Malware Analysis

The rapid deployment of Large Language Models within the modern security operations center has transitioned from a speculative experiment into a core operational necessity for identifying advanced persistent threats across global networks. While these systems possess an uncanny ability to ingest

Cybersecurity landscapes are undergoing a radical transformation as sophisticated threat actors begin to exploit the global fascination with generative artificial intelligence to bypass traditional endpoint security measures. While millions of professional users look for ways to integrate tools

Malik Haidar brings a unique blend of business-centric security strategy and deep technical intelligence to the table. Having defended multinational corporations against some of the most sophisticated threat actors, his perspective on the recent GlassWorm takedown offers a rare glimpse into the

A quiet vibration on a bedside table often signals a mundane notification, yet for victims of modern mobile malware, it marks the silent beginning of a total digital takeover that can compromise every aspect of their personal and professional lives without a single visible warning or system alert.

As the digital landscape undergoes a radical transformation driven by the rapid democratization of generative artificial intelligence, cybercriminals have shifted their focus toward exploiting the massive public interest in these tools to bypass traditional security perimeters. The current threat

The digital landscape has entered a volatile new phase as the Iranian state-sponsored threat group known as Nimbus Manticore initiates a sophisticated global campaign characterized by its reliance on artificial intelligence and expansive geographic targeting. This operation, linked closely to the