Webinar Description
Key Takeaways
- Explores the security and governance challenges of deploying autonomous AI agents in enterprise environments
- Focuses on architectural constraints and security patterns for agentic systems at scale
- Addresses risks to identity, authorization, and auditability in highly regulated settings
- Highlights the need for a dedicated control plane for autonomous agents
- Targets technical leaders and security professionals managing AI workloads on Kubernetes and cloud-native platforms
As enterprises accelerate their adoption of AI, the conversation is shifting from model accuracy to the operational realities of deploying autonomous agents at scale. “Securing Autonomous AI Agents in Production” is a virtual session designed for technical leaders and security professionals navigating the complexities of AI governance, particularly within regulated industries and cloud-native environments.
Industry Context: Beyond the AI Hype
While much of the industry remains focused on the capabilities of large language models, this session takes a pragmatic look at the next frontier: securing autonomous AI agents that interact with critical infrastructure. The discussion moves past surface-level AI excitement to address the operational and security realities facing organizations deploying agentic systems in production.
Architectural and Security Challenges
Deploying autonomous agents introduces a new set of architectural constraints. The session examines the need for robust security patterns, especially in Kubernetes-based and cloud-native infrastructures. Without a dedicated control plane, organizations face significant risks around identity management, authorization, and auditability—risks that are amplified in highly regulated sectors.
Governance and Compliance in Enterprise AI
For enterprises operating under strict compliance requirements, the lack of governance over autonomous agents can quickly become a critical vulnerability. The session provides actionable guidance for technical decision-makers, DevOps teams, and compliance professionals on establishing effective controls and audit mechanisms for AI-driven workloads.
Technologies and Solutions in Focus
The event spotlights solutions from Tigera and Calico, with a particular emphasis on securing AI agents within Kubernetes environments. Attendees will gain insight into how platforms like Lynx, AWS EKS, Azure AKS, Google GKE, Red Hat OpenShift, SUSE Rancher, Fortinet, and Mirantis are shaping the future of AI security and governance in the cloud.
Who Should Attend?
This session is tailored for CTOs, CISOs, security architects, DevOps and platform engineers, and compliance teams responsible for deploying and managing AI workloads. It is especially relevant for organizations leveraging Kubernetes and cloud-native technologies in regulated industries.
Format and Experience
The event is delivered as a virtual, speaker-led session with a technical and educational focus. Dillon Barry, Technical Marketing Engineer at Tigera, leads the discussion, offering practical insights and field-tested strategies for securing autonomous AI agents in production environments.