The rapid integration of AI into cloud environments is reshaping both enterprise operations and the threat landscape. As organizations embed AI into applications and workflows and deploy autonomous AI agents, they are expanding their cloud attack surface across APIs, data pipelines and model infrastructure.

This introduces new risks tied to misconfigurations, privilege misuse and unintended agent behavior where visibility and controls are limited. At the same time, AI models themselves are under threat, with prompt injection and manipulation exposing sensitive data and undermining outputs.

Against this complex environment attackers are evolving in parallel, using AI to automate reconnaissance, identify weaknesses and execute highly targeted social engineering campaigns.

In response, security teams are adopting AI powered defenses to better understand behavior, detect anomalies and respond in real time across complex cloud environments. This panel will explore how to securely scale AI in the cloud while building resilience against increasingly intelligent threats.

Join this session to learn:

• How integrating AI and autonomous agents into cloud-based operations expands risk, from exposed AI services and data pipelines to new attack paths and privilege misuse
• How attackers are leveraging AI in the cloud, including automated reconnaissance, misconfiguration exploitation and advanced social engineering at scale
• How AI-powered security tools can enhance cloud defenses, through behavioral analytics, anomaly detection and automated response to rapidly evolving threats