malware-detection
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The Security Alert That Never Needed Fixing
Endor Labs built a business around a costly question: does the vulnerable code ever run? As AI agents start writing and installing software, that question has moved from the backlog to the developer’s desk.
The Package Was Fine Six Minutes Ago
Most security tools ask whether a dependency is already notorious. Socket asks a ruder, more useful question: what will this code do after you invite it inside?
Conatix
Conatix is an early-stage AI cybersecurity company that turns software into pictures so a computer can see malware before it runs. Its flagship product, CYSANA (CYberSecurity ANAlytics), converts executable files into images at the moment of download, uses deep-learning neural networks to spot malicious code, and pairs that with patented anti-encryption technology that stops malware from ever becoming ransomware. Founded by David Lehrer and developed in partnership with the University of Luxembourg's SnT centre, the company markets to managed security providers, CISO teams, banks, corporations, and government agencies across North America and Europe.
David Lehrer
David Lehrer is the founder and CEO of Conatix and its flagship product Cysana, an AI cybersecurity venture that turns executable files into pictures so neural networks can spot malware before it ever runs. A Harvard-trained policy researcher turned deep-tech operator, he built the company across Virginia, New York, Montreal, London and Berlin, in partnership with the University of Luxembourg's SnT research center. His unusual path runs from criminology at Oxford and economics at the Bank of Finland to a patented anti-ransomware engine trained on a European supercomputer.