AI meets Cybersecurity
Annalisa Appice · 2021
Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. With the growing processing power of computing systems and the increasing availability of massive datasets, along with novel concepts and architectures for deep learning, AI algorithms have led to major breakthroughs in many different areas ioncluding cybersecurity. Nowadays AI has become one of the key enablers to studying and addressing cybersecurity-relevant problems at large in several application domains such as for intrusion detetction, malware detection and spam detection. However, it is important to consider that AI can be used also by attackers to continually improve their techniques and refine their offensive capabilities. Studying the effectiveness of AI is thus critical to ensure modern cybersecurity equipped to face the emerging threats allowed by malicious uses of AI. In this talk I will showcase several examples of recent progress in applying AI into cyber-threat detection problems and will provide a glimpse into exciting future directions that promise to have a profound impact on cybersecurity.