The rapid advancement of artificial intelligence methods is having a profound impact on cybersecurity, and we can expect this trend to continue. The ability to process massive amounts of data to identify patterns and trends, and to make very complex automated decisions faster than any human can respond is becoming key to both attack and defense tactics.
However, these artificial intelligence systems also open up new attack surfaces and vulnerabilities, as demonstrated by recent work on adversarial machine learning. I will overview some of the challenges and opportunities posed by the intersection of AI and cybersecurity, and discuss some of our own recent work applying artificial intelligence to advance the science of cyber deception.
Christopher Kiekintveld is an Associate Professor in Computer Science at the University of Texas at El Paso. His specializations include AI, multi-agent systems, computational game theory, adversarial reasoning, risk analysis, machine learning and supply chain management.
Christopher’s basic research centers around developing novel techniques for strategic reasoning in multi-agent domains, including new algorithms, models, and computing methodologies that exploit the availability of computational resources to scale to ever larger and more complex domains. Prior to joining UTEP, Christopher was a postdoctoral research associate at the University of Southern California and received his Ph.D. from the University of Michigan.