CyberDax began in December 2025 as an independent cybersecurity research initiative, created to maintain technical proficiency, explore emerging threats, and demonstrate practical expertise in threat intelligence and detection engineering.
Initially conceived as a professional portfolio project, CyberDax provided an opportunity to apply existing skills, develop new capabilities, and publish research on real-world cybersecurity threats.
As the research expanded, so did the vision. What began as an independent initiative gradually evolved into a broader effort to transform threat intelligence into structured, actionable detection capabilities.
That evolution included a shift from an initial emphasis on indicators of compromise (IOCs) toward behavioral detection. In response to adversaries’ growing use of AI to accelerate and vary their attacks, the research increasingly focused on the actions and sequences behind an intrusion—behaviors that could remain recognizable even as malicious files, infrastructure, and other indicators changed.
These articles represent the foundation of that journey, documenting the early research that helped shape CyberDax into the platform it is becoming today.