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Amazon Q Developer Enterprise Security for Engineering Teams

Amazon Q Developer chats, writes code and runs agentic tasks for engineers who already hold AWS access. Its Pro tier adds admin controls on top of AWS identity. This page reads what AWS publishes, shows where each control stops, and says when a team needs a second one.

OWASP LLM Top 10 Immutable audit trail Never trains on your data

Direct answer

Amazon Q Developer enterprise security rests on AWS identity and access management, an admin dashboard on the Pro tier that manages users and policies through IAM Identity Center, data protection and compliance programs documented in the AWS user guide, and network options such as VPC endpoints through AWS PrivateLink. Those controls decide who can use Q Developer and how data is handled. They do not judge whether one agentic action, such as a command run or a change to cloud resources, should proceed, so high-impact actions need a separate approval step.

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Policy trace

High-risk action held for approval

Audit trail

The risk

A platform team enables Amazon Q Developer Pro for three hundred engineers through IAM Identity Center. An engineer asks the agent to fix a failing deploy. It reads a pasted log that contains hostile text and proposes a command that widens a role policy. Sign-in was through the company identity provider and the subscription was managed. Nobody decided that this particular change was wrong.

How AgentShield handles it

Start with the Pro items for identity, the admin dashboard and the network options, because they cover who uses the tool and where traffic goes. Then route agent calls that reach systems of record through an AgentShield gateway. Rules check the arguments of each call, hold deploys, permission changes and bulk writes for a named approver, and write one attributed record of what was allowed, denied and approved.

Platform engineer reviewing a paused agent request on a laptop

The controls

The controls that secure which AWS resources, commands and code changes an Amazon Q Developer session may touch, and which wait for a named approver.

What AWS documents for Amazon Q Developer security

The honest summary is that AWS gives an Amazon Q Developer customer its standard cloud identity, network and compliance layer, and leaves the decision about each action the agent takes to the user and to your own tooling. The facts below come from the AWS Amazon Q Developer pricing page and user guide security chapter, read on November 10, 2026. Check the current pages and ask for written terms before you sign.

ControlWhat the vendor pages sayWhere it stops
Shared responsibilityThe user guide frames security as AWS securing the cloud and you securing what you do in itYour data sensitivity and agent permissions are your job
Identity and accessA security chapter covers identity and access management, and Pro uses IAM Identity CenterControls who signs in, not what a signed-in session runs
Admin dashboardThe pricing page lists user and policy management for Pro, not for FreeManages subscriptions and policies, not individual actions
Data handlingPro is automatically opted out of data collection, and Free users can opt outCovers service improvement, not what the agent does with your systems
NetworkThe guide documents VPC endpoints through AWS PrivateLink, plus firewall, proxy and data perimeter guidanceWhere traffic travels, not which actions are allowed
ComplianceThe guide points to AWS Services in Scope by Compliance ProgramCheck the specific programs listed for Q Developer yourself

The pricing page lists Pro at $19 per user per month with IP indemnity and increased agentic request limits, and it does not state security scan limits. Ask for the audit record contents and the current compliance scope in writing.

Where Amazon Q Developer controls stop

None of these gaps is unique to Amazon. They are the normal shape of a control at the identity layer, where the decision is made before the agent reads the specific text that will steer it.

GapWhy it matters in a rollout
The agent acts with the permissions of the person or role behind itAn engineer with broad access hands that reach to every step the agent takes
Logs, tickets and code comments are untrusted inputThe agent reads them to do the job, and so can an attacker who writes to them
Identity controls are per user, not per actionA wrongly scoped role change and a harmless read look the same at sign-in
Admin policy is not a decision recordAn auditor asks who approved a production change, which a subscription list cannot show

The same questions apply to the other agents your engineers may run, covered on Kiro security, Bedrock AgentCore security and the wider coding agents page.

Amazon Q Developer security checklist for US platform and security teams

  1. Choose Pro for any team that needs the admin dashboard, IAM Identity Center sign-in and policy management.
  2. Give engineers least privilege roles in the accounts where Q Developer runs, never an administrator role by default.
  3. Keep production accounts separate from the accounts where agents run commands.
  4. Use VPC endpoints and data perimeter policies where the guide describes them.
  5. Get the compliance scope and audit record contents in writing.
  6. Run a pilot, record which calls the agent actually makes, and write rules from that list.

Steps one to five cost administration time. Step six is the one that needs a mechanism, and it is where teams look for a second control.

Where a second control earns its place

An AgentShield gateway sits on the paths your agents use to reach systems of record, such as a deploy API, a ticket system, a database tool or a payment service. It does not replace AWS controls. It adds a decision on each action, outside the model and outside the IDE.

RiskAWS controlSecond control
Wrong people use the toolIAM Identity Center and the Pro dashboardNone needed. Use the plan
Traffic leaves the network path you wantVPC endpoints and data perimetersNone needed. Use the settings
Injected text triggers a permission changeRole scoping, if you set it upRule on the target and arguments, held for a named approver
Agent calls a billing, identity or deploy APIScoped keys, if you set them upCount and amount limits per run and per day, approval above them
Customer data leaves in a tool callNone documentedContent scan on outbound arguments
Proof for a customer security reviewAccount level logging you configureOne attributed record of allowed, denied and approved actions

The gateway works for calls you route through it, such as internal APIs and tools reached through an MCP endpoint. It cannot see actions that never leave the IDE, so least privilege roles remain your control there. The enforcement mechanics are on tool permissions and the approval flow on human in the loop AI agents.

When to buy nothing, use AWS controls, or add AgentShield

Your situationWhat to do
A few engineers use Q Developer in a sandbox accountBuy nothing. Least privilege roles are enough
You need managed sign-in and policies for many engineersUse Pro with IAM Identity Center
You need traffic kept on private pathsUse the VPC endpoint and perimeter settings
Agents call billing, identity, deploy or customer data toolsAdd argument rules and approval on those calls
An auditor wants proof of who approved whatAdd the gateway record

Three of five rows end without a purchase from us. That is deliberate, because a control you do not need is not worth selling.

FAQ

Common questions about amazon q developer enterprise security.

Is Amazon Q Developer secure for enterprise use?

AWS documents identity and access management, data protection, compliance validation, VPC endpoints and data perimeter guidance for it, and Pro adds an admin dashboard with IAM Identity Center. Those cover identity and network paths. They do not decide whether one agentic action should run, so high-impact actions need a separate control.

How much does Amazon Q Developer Pro cost?

The AWS pricing page lists Pro at $19 per user per month, with increased agentic request limits, 4,000 pooled lines of Java transformation per user each month, an admin dashboard and IP indemnity. Confirm current terms with AWS before you sign, since rates can change.

Does Amazon Q Developer use my code to train models?

The pricing page says Pro users are automatically opted out of data collection and Free users can opt out. Confirm that in your contract and the current service terms rather than relying on a default, and check retention terms for chat history.

Can Amazon Q Developer be hijacked by prompt injection?

Any agent that reads logs, tickets, code comments or web pages can be steered by hostile text in them. Least privilege roles limit what it can reach, but an approved call can still be misused. Rules on tool call arguments, with approval for risky actions, limit the damage when the model is fooled.

Does Amazon Q Developer support single sign-on?

Yes on Pro, which the pricing page ties to IAM Identity Center for user and policy management. The Free tier works with an AWS Builder ID or IAM user. Sign-in controls who uses the tool, not what an approved session does afterward.

Does AgentShield work with Amazon Q Developer?

Yes, for tool and API calls routed through a gateway endpoint, such as internal APIs and MCP servers, where it checks the arguments of each call and holds risky ones for approval. It does not replace AWS controls and cannot see activity that stays inside the IDE.

More use cases

Snowflake Cortex security Gemini Enterprise security Bedrock AgentCore security Azure AI Foundry security OpenRouter security AI gateway LLM security RAG security MCP server security Coding agents Customer service agents AI agent governance AI compliance Government Financial services Enterprise agents AI firewall Agentic AI security AI agent monitoring AI-SPM Agent hardening Tools compared Agent access control Agent identity AI data leak prevention Human in the loop Agent sandboxing AI penetration testing AI agent guardrails Healthcare Legal Insurance Multi-agent security Zero trust for agents Threat modeling AI runtime security MCP gateway LangChain security Claude agent security OpenAI agent security OpenClaw security Hugging Face security Cursor AI security n8n security Copilot Studio security LiteLLM security Gemini CLI security GitHub Copilot security Microsoft 365 Copilot security Kiro security Codex security Microsoft Agent 365 security OpenAI Agent Builder security Microsoft Agent Framework security Google ADK security Flowise security NeMo Agent Toolkit security Zendesk AI agents security ChatGPT workspace agents security Amazon Quick Suite security Oracle AI Agent Studio security Pydantic AI security Mastra AI security Dify AI security Notion Custom Agents security Zapier MCP security Gemini Enterprise Agent Platform security OpenAI Agents API security Claude Managed Agents security Copilot Cowork security ServiceNow AI agents security watsonx Orchestrate security SAP Joule security UiPath agent guardrails Workday agent security GitLab Duo agent security Intercom Fin agent security Atlassian Rovo security Claude Code enterprise security Windsurf security Devin security Replit enterprise security Gemini Code Assist enterprise security Augment Code enterprise security Cline enterprise security

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