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Amazon Bedrock AgentCore Runs Your Agents. VGS Secures the Data They Touch.

June 17, 2026

Amazon Bedrock AgentCore Runs Your Agents. VGS Secures the Data They Touch.

Every production AI agent needs two things:

  1. Cloud infrastructure to build and manage agentic workflows, and
  2. Developer-first and secure tokenization infrastructure to protect, optimize, and transmit the data that agents handle.

Amazon Bedrock AgentCore is the first.

VGS is the second.

Together, these two technologies form a powerful complement: the complete end-to-end infrastructure stack for production agentic AI.

What is Amazon Bedrock AgentCore?

Amazon Bedrock AgentCore is the platform to build, connect, and optimize AI agents at scale. It can build with any open-source framework and any model, connect agents to tools and data with authentication and access controls built in, and monitor and improve agents in production with tracing and evaluation. Amazon Bedrock AgentCore handles the infrastructure so you focus on agent logic, not backend plumbing, and you get enterprise-grade security and reliability without giving up open-source flexibility.

 

How VGS and Amazon Bedrock AgentCore complement each other

In the Amazon Bedrock AgentCore architecture, agents interact with the world through tools, APIs, data sources, and third-party services. Sensitive data enters and exits through those tools. VGS sits inline as a transparent proxy at exactly those endpoints.

AgentCore is the agent production layer. VGS is the data layer. Neither has to do the other’s job, but can work together seamlessly.

Role Provider What they do
Agent Management Amazon Bedrock AgentCore Autoscales agents, manages memory, coordinates tool execution
Vault and Tokenization VGS Tokenizes sensitive data in transit, keeps raw values out of agent context, logs, and traces
LLM OpenAI, Anthropic Drives the flow–never sees raw sensitive data

When an agent processes customer PII, the VGS inbound route tokenizes the sensitive fields before they reach the agent. On the way out to a downstream processor or service, VGS detokenizes in real time. Your agent’s data stays clean. Your traces stay clean. Your compliance posture stays intact.

Because VGS sits at the data layer, the AI agent is never exposed to raw sensitive values.

The downstream service gets what it needs.
The agent gets the ability to complete tasks autonomously.
The user gets the assurance that their sensitive data isn’t being read by an LLM.

 

The technical flow

Here’s what the VGS + Amazon Bedrock AgentCore looks like in practice:

  1. Ingestion and tokenization: Sensitive data (card numbers, SSNs, account details) enters via VGS inbound routes and is tokenized before reaching the agent or any AgentCore tool. Raw values never enter the flow.
  2. Agent execution: AgentCore creates the agent that executes. It works with tokens throughout, including format-preserving tokens that are functionally equivalent to the real values but safe to pass across tools, logs, and memory.
  3. Detokenization at the edge: When the agent calls a downstream service that requires real values, such as a payment processor, KYC API, or EHR system. VGS outbound routes detokenize on the fly. The downstream service receives exactly what it expects.
  4. Audit trail and compliance: Every transaction is logged. VGS is PCI DSS certified, meaning the agents you deploy on AgentCore can operate in regulated environments from day one.
 

Why agents need a vault

Production AI agents don’t just respond to prompts; they take action. They retrieve customer records, payment data, submit forms, and call APIs. That means they operate over real sensitive data: PANs, SSNs, account numbers, PII.

Without a vault layer, that data ends up in places it shouldn’t be: agent memory, model context windows, tool call logs, and trace outputs. The blast radius of a misconfiguration grows rapidly when agents act autonomously at scale.

VGS solves this at the infrastructure level, before sensitive data ever reaches the agent.

  • Tokenization at ingestion: Sensitive fields are replaced with format-preserving tokens before they ever reach the model’s context or the agent’s memory.
  • Zero-change integration: VGS proxies sit inline with AgentCore tool calls, no schema changes, no new SDKs, no rearchitecting your agents.
  • PCI-ready: VGS is PCI DSS-certified. Deploy regulated agents with an audit trail from day one.
  • Scope reduction: Vault-first architecture keeps raw sensitive data out of your AgentCore traces, logs, and downstream systems.
 

Why do payments and agentic commerce agents need vaults and payment tokenization?

Production AI agents take action from prompts. They retrieve customer records, process payments, submit forms, and call APIs. That means they operate over real sensitive data: PANs, SSNs, account numbers, PII.

Without a vault layer, that data ends up in places it shouldn’t: agent memory, model context windows, tool call logs, trace outputs. The blast radius of a misconfiguration grows rapidly when agents act autonomously at scale.

VGS solves this at the infrastructure level, before sensitive data ever reaches the agent.

Once the Agent uses VGS as their secure infrastructure for data management, VGS enables agents to execute the last mile of payments to any merchant or processor and to optimize those payments over time.

  • Network tokens: VGS provisions network tokens on behalf of your agents, enabling them to pay with agentic network tokens without PCI scope and without additional integration from underlying merchants or PSPs. Tokens are tied to the underlying account rather than the card number, driving higher authorization rates and fewer declines.
  • Account updater: Cards expire. VGS Account Updater automatically updates vaulted credentials with card networks when details change, so legitimate agents authorized to run recurring workflows don’t hit unnecessary declines mid-execution.
  • Card attributes: VGS exposes BIN data, card type, issuer country, and funding type alongside a token, so merchants who receive a token from an Agent get greater data visibility than they would have ever before.
  • Bank account payments: Not all agentic commerce runs on cards. VGS vaults bank account credentials using the same tokenization model, enabling ACH and other bank-based payment flows without exposing Agents to raw, sensitive information such as a consumer’s bank account and routing number. One vault, one integration, every payment type.

Payment agents carry the highest stakes. They don’t just move data; they move money. VGS provides the execution layer that makes payments secure, interoperable, and resilient across every agentic workflow.

VGS Logo VGS Logo

The default choice for agentic infrastructure

We’ve spent years building the vault that fintech, ecommerce, and enterprise teams trust with their most sensitive data. That work didn’t stop with the arrival of AI agents; it became more relevant than ever.

Agents are now doing what humans used to do: reading customer records, initiating transactions, calling regulated APIs. The vault requirement doesn’t go away in that world. It scales with every agent you deploy.

Amazon Bedrock AgentCore handles the orchestration. VGS handles the data. If you’re building production AI agents and you need a vault, we’re ready to build with you.

Get started

See how VGS helps you securely handle sensitive data in your AgentCore architecture. Talk to our team and get started with a free sandbox.

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Jake Porter VGS

Jake Porter

Strategic Partnerships Manager

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