Tristan MADANI
Tristan is a dedicated and motivated professional committed to delivering positive results and fostering continuous improvement in his work. Over the years, he has accumulated extensive experience in both Offensive (Red Teaming, Penetration Testing, Vulnerability Research) and Defensive Security (Threat Hunting, Incident Response, Digital Forensics, Malware Reverse Engineering), as well as systems and networks. Additionally, Tristan finds fulfillment in sharing his knowledge through Cyber Security Training, recognizing the value of collaboration and ongoing learning in this dynamic field.
Session
In this presentation, Tristan Madani will delve into "Predictive Analytics for Adversary Techniques in the MITRE ATT&CK Framework using Rule Mining." This talk introduces a novel approach to predicting potential adversary techniques by leveraging historical attack data and applying association rule mining. Attendees will gain insights into how the MITRE ATT&CK framework can be utilized to enhance threat hunting and incident response capabilities. Key takeaways include understanding the methodology behind rule mining, the practical application of the Apriori and FP-Growth algorithms, and the implications of the findings for proactive cybersecurity measures. This presentation is essential for cybersecurity professionals looking to stay ahead of evolving threats by anticipating adversary actions.