Agentic systems — AI-driven applications that autonomously act across services — are transforming enterprise workflows. However, they also create a surge in non-human identities (NHIs) and secrets that expand your attack surface. 

In this session, we’ll walk through a vulnerable agentic application scenario to illustrate the risks of static credentials, permissive access, and leaked secrets. Then, we’ll demonstrate how HashiCorp Vault and HCP Vault Radar support a zero trust architecture that mitigates these threats while preserving developer agility. 

Attendees will leave with practical strategies to secure agentic systems from development to production on AWS.

Session ID: SEC211-S

Scalable, reliable agentic AI applications need infrastructure that can be built, deployed, and managed through a single, repeatable workflow. 

This session demonstrates how to use HCP Terraform to chain dependent infrastructure stages, keep post-run automations in Terraform, and bring unmanaged AWS resources under control using Stacks, actions, search, and import. We’ll also cover how HCP Vault integrates seamlessly into Kubernetes-based application workflows to strengthen security. 

Expect practical patterns you can apply to run agentic AI with confidence, safeguard sensitive data, and scale operations on AWS without unnecessary complexity.

Session ID: AIM243-S 

AWS's biggest customers rely on Terraform as their front door to the cloud. In this session, HashiCorp reveals how Amazon Q Developer CLI has dramatically accelerated their Terraform provider development workflow. Learn the practical tips and best practices their team discovered while implementing Amazon Q Developer CLI. Discover how this collaboration is helping deliver cutting-edge AWS capabilities to Terraform users faster than ever before.

Session ID: DVT216