File-based malware has long been among the most effective attack vectors employed by threat actors worldwide. While AI-powered detection technologies are coming to market to help address these growing risks, their outputs should be complemented by deterministic controls and human oversight, particularly in high-consequence environments.
Applied AI Lead at Glasswall
Aqib is an accomplished cybersecurity professional with over a decade of experience in information security, AI, ML, data science, cryptography and web development. He is an expert in applying ML to security domains and securing ML-based systems.

