Machine learning promises of machine learning can accurately identify malware nobody has ever seen before because of what it’s learned about malware it’s seen in the past. Konstantin Berlin, senior research engineer at Invincea Labs, is trying to take the techology further. He’s using a technique that improves the way security tools recognize what binary is similar to another — and therefore how they are classified into families, attributed to malware authors, and tied to threat actors. Berlin is using Microsoft’s existing database of malware families and variants.”]