Advxai in Malware Analysis Framework: Balancing Explainability with Security
Abstract
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes the answer to interpreting the decision-making process that AI malware analysis models use to determine malicious benign samples to gain trust that in a production environment, the system is able to catch malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI as a new attack vector.
Fields of Study & Subjects
Advanced Malware Detection Techniques
Explainable Artificial Intelligence (XAI)
Security and Verification in Computing
Publication details
- Journal / source
- International Journal on Soft Computing Artificial Intelligence and Applications
- Publication date
- 14 January 2026