Leveraging GenAI for Advanced Threat Detection and Response in Edge Computing

The rapid expansion of edge computing has introduced new cybersecurity challenges, particularly in decentralized and distributed environments. This presentation explores the emerging role of Generative AI (GenAI) in addressing these challenges and potentially reshaping the landscape of edge security. We'll examine the current state of threat detection and response in edge computing, discussing its unique vulnerabilities and the limitations of traditional security approaches. The session will then delve into how GenAI technologies are being applied to enhance real-time threat detection, enable predictive analytics, and facilitate automated responses. Through a series of case studies and theoretical models, we'll explore the potential benefits and limitations of GenAI in edge security. We'll discuss the broader implications of this technology for the future of cybersecurity, including ethical considerations and potential areas for further research and development. Key Takeaways: - Understand the specific security challenges unique to edge computing environments. - Gain insights into the current and potential applications of GenAI in cybersecurity. - Evaluate the effectiveness of GenAI-powered solutions in real-time threat detection and response. - Hear real-world case studies of GenAI in action across various industries. About the Speaker Inna Ushakova is a pioneering tech entrepreneur who has built two successful and recognized companies, Scalarr and AI EdgeLabs, in the fields of AI-driven fraud prevention and cybersecurity.