In AI We Trust? Securing the Future, One Agent at a Time
Lin Sun & Yuval Kohavi, Solo.io; Hannah Foxwell, Mindgard.ai; Andrew Martin, ControlPlane; Ricardo Aravena, CNCF
Abstract
Can we secure AI workloads, agents, and MCP servers the same way we secure traditional microservices? Are established tools and standards—such as SPIFFE identities, mutual TLS, authorization policies, and supply chain security—sufficient, or do AI workloads require a fundamentally different approach?This panel discusses the unique challenges AI introduces across multiple dimensions: model selection, enterprise operations, hardening and red teaming, end-user management, model compute optimization, and long-running, context-heavy sessions. We’ll also explore disaster scenarios such as multi-cluster/region failovers, and what they mean for securing distributed AI applications.Join our panel of AI and security experts for a dynamic discussion that clarifies what can be reused and what must be reimagined to effectively protect AI workloads.
