Threat & Vulnerability · Integration
AWS Detective
Add AWS Detective to your product for your customers, and give your AI agents governed access to it.
Embed an AWS Detective integration so your customers can surface security investigation context inside your product, with access scoped per tenant and every read logged. fastn handles each customer's credentials and API upkeep, and only read scopes are requested unless you enable more.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Let customers read investigation graphs and related findings into your product.
Surface entity relationships so analysts see context without switching tools.
Filter investigations by account or severity for the view your users need.
Trigger your product when a new investigation is opened.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent reads investigation context before summarising an incident.
An agent correlates a finding with related entities to explain scope.
An agent reacts to a new investigation and assembles the initial brief.
Example prompt
Summarise open investigations from the last week and the entities involved in each.
Set up AWS Detective in 4 steps
- 01Open the AWS Detective connector from your fastn dashboard.
- 02Have each customer authenticate their AWS account with read scopes.
- 03Map the accounts and graph regions your product covers, then enable triggers.
- 04Call them from your product, or expose them to an agent through the MCP server.
Why teams use the AWS Detective integration
What you get by embedding it with fastn instead of building it yourself.
- Ship an AWS Detective integration without building it. Your customers connect their own AWS Detective account inside your product and work their findings, detections and assets there, with no per-customer code on your side.
- Handle the part that actually costs time: a rescan re-reports everything, so the same finding arriving twice must not read as two problems. fastn owns the auth, token refresh, rate limits, pagination and breaking-change fixes, so an AWS Detective update is not your on-call problem.
- One integration serves your product and your agents. The same governed AWS Detective connection powers in-product features and gives AI agents scoped, audited access, so you get security findings in front of the people and systems that act on them without wiring it twice.
Used by these teams
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Often used alongside
Tools the same teams tend to run next to AWS Detective, across other categories.
AWS Detective integration FAQ
How do I add an AWS Detective integration to my product?
Enable the AWS Detective connector in your fastn dashboard, then let each customer authenticate their own AWS Detective account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no AWS Detective client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own AWS Detective account?
Yes. Every connection is scoped to the individual customer, so each authorises their own AWS Detective account and only ever sees their own findings, detections and assets. That per-tenant isolation is the point of an embedded integration: you support the long tail of customer setups without maintaining an integration per customer.
Can AI agents use this AWS Detective integration?
Yes. The same connection is exposed to your agents through the fastn MCP gateway, with permissions scoped per tenant and every call audited. An agent reads investigation context before summarising an incident.
Who maintains the AWS Detective integration?
fastn does. When AWS Detective changes an endpoint, deprecates a field or alters its auth, the fix lands in the connector rather than in your backlog, and your customers' connections keep working.
How does a new AWS Detective finding reach my product?
Through event triggers rather than polling, delivered per tenant, so your product reacts when a finding is raised or its severity changes rather than on a schedule that is always slightly out of date.
How is AWS Detective finding noise kept manageable?
Findings are deduplicated per asset so a rescan does not re-raise what you already have, and you can filter by severity and status before anything reaches your product. That matters more here than in most integrations, because the volume is what stops teams acting on any of it.
What can I build with the AWS Detective integration?
A common starting point: read investigation graphs and related findings into your product. Teams also use it for the other use cases listed above, and expose it to agents for governed reads and writes.
How much does the AWS Detective integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding AWS Detective does not change your per-connector cost. You can start free with 3 connected accounts.
Add AWS Detective to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.