Using AI to Fight Cyberthreats and Protect Data

The statistics are undeniable: higher education is under attack. ThreatLabz 2023 reports show a staggering 276% increase in encrypted attacks and a 961% increase in IoT malware attacks targeting education. It is time for higher education to fight back with AI. This session will highlight the pivotal role of AI in fortifying cybersecurity defenses against threats in encrypted traffic and IoT, supported by statistical insights from Zscaler ThreatLabz reports. In addition, data protection strategies will be discussed to prevent exfiltration of research data and stop source code and other sensitive data from being uploaded into third-party AI tools. This session will examine how large language models (LLMs) and AI models can deliver ever more powerful AI outcomes for IT and security teams to gain even more effective sensitive data protection, strengthen your security posture against the risks of AI apps, and ensure secure use of tools like ChatGPT. Attendees will learn the benefits of strategies such as full SSL inspection and see a demo of a cloud sandbox for a firsthand view of an AI-driven malware detection, prevention and quarantine engine. In addition, we will be joined by a higher education cybersecurity professional who will address this topic from a practitioner perspective.