AI-Powered Cloud Security: Defending Cloud Workloads from Next-Gen Cyber Threats
OVERVIEW
As AI-driven cloud workloads continue to scale, so do sophisticated cyber threats targeting cloud-based AI models, infrastructure, and data. Adversarial AI attacks, cloud misconfigurations, and automated malware are evolving, forcing security teams to rethink their defensive strategies.
In this session, I will explore the intersection of Cloud, AI, and Security, highlighting real-world attack scenarios and defense mechanisms. From securing generative AI models against adversarial attacks to leveraging AI for threat detection, I will cover practical, cutting-edge solutions that security engineers, cloud architects, and DevSecOps teams can implement today.
Attendees will gain insights into:
– Emerging AI-driven threats in cloud environments – how attackers exploit cloud-hosted AI.
– Zero Trust for AI workloads – best practices for securing AI-driven applications in the cloud.
– AI-powered threat intelligence – how AI is revolutionizing cybersecurity automation.
– Case studies – real-world breaches and lessons learned in defending AI workloads.
By the end of the session, attendees will leave with a deeper understanding of AI security challenges, actionable strategies to secure AI in cloud environments, and the future of AI-powered cybersecurity solutions.
