Over the course of the last decade, the nature of cybersecurity has changed, evolving past the idea of cybersecurity being a system of logical controls to fully prevent attackers from infiltrating systems, to becoming a data analytics problem based on behavioral analysis of attack patterns to detect them when they do.
The key attack surface has changed from internal systems to publicly facing applications which hold the world’s user data. As such, fraud and abuse have become the primary focus areas for organizations’ defensive efforts, and the use of artificial intelligence, particularly machine learning, has become one of the principal tools.
This webinar will review how cybersecurity challenges have changed, examine the emergence of credential stuffing as the #1 cybersecurity problem in the world, with real data from major corporations, and demonstrate next generation uses of machine learning in defending organizations and millions of users around the world.
VP, Global Head of AI