Uploaded August 2026 | Updated September 2026, 2 weeks ago
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
Architecting Secure Agentic Workflows on Kubernetes: A Financial Sector Case Study - Vincent Caldeira & Morgan Foster, Red Hat
As organizations move beyond basic LLM integrations toward autonomous agentic workflows, the infrastructure required to support these systems grows increasingly complex. Running multi-agent architectures in production introduces unique challenges around tool discovery, secure access, and traffic routing.
This session explores how to leverage Kubernetes and cloud-native abstractions to develop, test, and deploy AI agents at scale. Using a reference architecture leveraging the Kagenti project, we will demonstrate how to construct a secure, scalable agentic environment. The talk covers unifying tool access via an MCP Gateway, enforcing zero-trust workload identity with SPIFFE/SPIRE, and standardizing inter-agent communication.
To illustrate these concepts, we will walk through a real-world financial use case: an autonomous agent that securely accesses market data and executes simulated transactions using financial tools over MCP, demonstrating end-to-end cloud-native deployment.
Don't miss out! Join us at our next KubeCon + CloudNativeCon events in Shanghai, China (8-9 September, 2026) and Salt Lake City, United States (Nov 9–12, 2026). Connect with our current graduated, incubating, and sandbox projects as the community gathers to further the education and advancement of cloud native computing. Learn more at kubecon.io
Architecting Secure Agentic Workflows on Kubernetes: A Financial Sector Case Study - Vincent Caldeira & Morgan Foster, Red Hat
As organizations move beyond basic LLM integrations toward autonomous agentic workflows, the infrastructure required to support these systems grows increasingly complex. Running multi-agent architectures in production introduces unique challenges around tool discovery, secure access, and traffic routing.
This session explores how to leverage Kubernetes and cloud-native abstractions to develop, test, and deploy AI agents at scale. Using a reference architecture leveraging the Kagenti project, we will demonstrate how to construct a secure, scalable agentic environment. The talk covers unifying tool access via an MCP Gateway, enforcing zero-trust workload identity with SPIFFE/SPIRE, and standardizing inter-agent communication.
To illustrate these concepts, we will walk through a real-world financial use case: an autonomous agent that securely accesses market data and executes simulated transactions using financial tools over MCP, demonstrating end-to-end cloud-native deployment.
