Secure AgentCore

Securing Amazon Bedrock AgentCore Runtime is crucial for protecting your AI deployments. In this post, we will explore two architecture patterns that utilize an internet-facing Elastic Load Balancer (ELB) with AWS Web Application Firewall (WAF) to route traffic through a VPC Interface Endpoint to AgentCore Runtime.

Introduction to AgentCore Runtime Security

AgentCore Runtime is a critical component of AI deployments, and its security is essential for preventing unauthorized access and protecting sensitive data. AWS WAF and ELB provide a robust security framework for protecting AgentCore Runtime from common web exploits and vulnerabilities.

Architecture Pattern 1: Using AWS Lambda Proxy

The first architecture pattern involves placing an AWS Lambda proxy between the ELB and the VPC Endpoint. This allows for full control over request transformation and provides an additional layer of security. The Lambda proxy can be used to validate and sanitize incoming requests before they reach AgentCore Runtime.

Architecture Pattern 2: Direct Routing to VPC Endpoint

The second architecture pattern targets the VPC Endpoint ENI IP addresses directly from the ELB, removing the need for a Lambda proxy. This approach simplifies the architecture and reduces latency. However, it requires careful configuration of the resource policy to ensure that traffic flows through AWS WAF only.

Configuring Resource Policy for Secure Access

To close the direct-access backdoor, a resource policy must be configured to restrict access to AgentCore Runtime. This can be achieved by specifying the allowed IP addresses or VPC endpoints in the policy.

Benefits and Best Practices

Both architecture patterns have been tested end-to-end with SigV4 and OAuth (Amazon Cognito JWT) authentication, ensuring secure and authenticated access to AgentCore Runtime. Some key benefits and best practices include:

Technology teams are watching secure agentcore closely because changes in this space often arrive faster than internal policies can adapt.

For product and engineering leaders, the practical question is how this could reshape roadmaps, vendor choices, and security reviews over the next few quarters.

Organizations that document lessons early tend to respond more calmly when similar patterns appear again.

In many companies, the first impact shows up in planning meetings: teams reassess priorities, revisit risk registers, and check whether existing tooling still fits.

Smaller businesses feel these shifts too. A single platform change or market move can affect customer trust, delivery timelines, and hiring plans.

The most resilient teams treat stories like this as input for quarterly reviews rather than one-day headlines.

If your business depends on modern software, ERP, VoIP, or customer-facing apps, staying informed helps you separate noise from decisions that require action.

Looking ahead, disciplined follow-through matters: assign owners, set review dates, and measure whether your response improved outcomes.

Security and compliance stakeholders should ask whether current controls still match the pace of change described in this update.

Operations leaders can reduce friction by translating the headline into a short internal brief with clear next steps for each department.

Customer support teams may see early signals through tickets, outages, or policy questions long before leadership reviews are scheduled.

Finance and procurement groups should note whether licensing, vendor risk, or implementation costs need revisiting after this development.

Training programs benefit from timely updates so staff understand what changed, what did not change, and what requires escalation.

Architecture reviews are a practical place to test assumptions, especially when new tools, platforms, or threats enter the conversation.

Documentation quality often determines how quickly a company recovers from surprises; capture decisions while context is still clear.