Why AI Needs Cyber Security Urgently?

Logo
Presented by

Jim Reavis, Co-Founder & CEO, CSA & Prof. Yu Chien Siang, Chief Innovation & Trust Officer, Amaris AI

About this talk

Traditionally, cyber security systems have been adding AI capabilities to detect unknown malware, zero day attacks and to analyse logs to detect abnormalities to discover frauds, insider attacks and denial of service malfunctions. However, these sophisticated AI systems are themselves attackable via Adversarial Examples. For instance, one could bypass an email anti-phishing system, physical camera monitoring or IoT control systems to subvert and evade the enterprise security monitoring infrastructure. Thus, this presentation addresses the evolution of AI robustness cum security, what would be best practices and design principles to operate AI securely, how to measure how strong the AI model would be and what are the common knowhow in this area of Adversarial Attacks. Importantly, we would need to know how to defend future Smart Nation and strategic AI systems well and be able to manage the fast developing AI risks and vulnerabilities.

Related topics:

More from this channel

Upcoming talks (3)
On-demand talks (884)
Subscribers (55251)
CSA CloudBytes was launched as a webinar series to help us educate the industry on all matters related to the cloud. Our channel is designed to inform our audience about trending topics, new technologies, and latest research. Learn more at cloudsecurityalliance.org. Join the Cloud Security Alliance on LinkedIn and follow us on twitter: @cloudsa