Hackers’ coding ethics, cracked via malware DNA sequencing threat cloud

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Presented at InfoSecurityMexico 2019 by

Eddie Doyle

Never mind A.I. making Security decisions… machines will soon make ethical decisions!In a survey across 200 countries to answer just one question, MIT’s Dept. of Computers, Robotics & Philosophy assembled over 40 million data points, to solve the dilemma of when a driverless car is facing an unavoidable crash, but must decide who should live & who should die!Humans are teaching machines to do the unthinkable… decide our fate!40 million data points from one question, in addition to the many millions of variables for road safety, engineers are achieving the impossible… a zero tolerance for false-positives when human life lies in the balance.Machines must also make critical security decisions, influencing the real world events. Surely, we can therefore teach machines to PREVENT cyber breaches with a no false-positives!Using big data, algorithms can now identify hacker code, based on their work ethic through sequencing the DNA of their Malware.In the same way a driverless car will never leave my garage if false-positives weren’t eliminated, traffic flow within my network will grind to a halt if false-positives thrive; hence the propensity to set our cyber defenses in “detect-only.”Today’s cyber risks far outweigh this old-school approach & engineering standards no longer prohibit us from taking a prevention-first approach to security.Since malware developers typically recycle old code to avoid spending thousands of hours writing entirely new code, traces of their previous malware are hidden within & machines can be taught to recognize & block this code, forcing the malware author to either invest thousands of hours into writing completely new code, or attacking someone else’s network.Come & be inspired to prevent cyber-crime, relying on the advancements A.I. has made in identifying unknown threats through sequencing the DNA of Malware.