Quantifying the Risks Associated with Multi-AI Deployments

Explore the complex security challenges that emerge when multiple AI systems interact across enterprise environments in this 23-minute conference talk. Examine how interconnected AI platforms, including agents, MCP servers, and agent-to-agent communication, exponentially increase risk exposure and operational complexity beyond single AI deployments. Learn from IANS Faculty member Aaron Turner and security expert Rich Mogull as they analyze the cascading vulnerabilities that occur when dozens of AI interactions are chained together in modern business systems. Discover practical frameworks for quantifying and communicating these multi-layered AI risks to business stakeholders who need to understand the security implications of their AI investments. Gain insights into reference architectures specifically designed to protect both developers and end users in rapidly evolving AI-driven environments. Access actionable strategies for managing the security challenges of interconnected AI ecosystems while maintaining operational efficiency and innovation momentum in enterprise AI deployments.