Let’s separate the hype from reality and see what exactly machine learning (ML), deep learning (DL) and artificial intelligence (AI) algorithms can do right now in cybersecurity. We will look how different tasks, such as prediction, classification, clustering and recommendation, are applicable to the ones for attackers, such as captcha bypass and phishing, and for defenders, such as anomaly detection and attack protection. Speaking about the icing on the cake, we will cover the latest techniques of hacking security and non-security products that use ML and why its super hard to protect them against adversarial examples and other attacks.
Alexander is a co-founder of ERPScan, the president of EAS-SEC.org, an organization focused on enterprise application security, and a member of Forbes Technology Council. He has been recognized as R&D Professional of the Year by 2013. His expertise covers the security of enterprise business-critical software and includes ERP, industry-specific solutions and adopting Machine Learning and Deep learning inventions to cybersecurity problems. He has presented his research at over 100 conferences such as BlackHat, HITB, RSA held in more than 20 countries in all continents. He has held customized trainings for CISOs of Fortune 2000 companies.