Threat & Vulnerability · Integration
Nightfall AI
Add Nightfall AI to your product for your customers, and give your AI agents governed access to it.
Embed a Nightfall AI integration so your product can detect sensitive data before it spreads, using each customer's own detection rules rather than a regular expression you maintain. Nightfall scans text and files for things like credentials, payment card numbers and personal identifiers, and reports findings against the detection rules and policies a customer has configured. Findings arrive through webhook events rather than a poll, and they are deduplicated, which matters because the same repeated pattern should not create a queue of identical records for someone to work through. Each customer connects their own account, so scans and findings stay scoped to their tenant and are logged. fastn owns the credentials, retries, rate limits and API upkeep, and the same connection serves your AI agents.
In your product
Embedded for your customers. Per-tenant auth, no per-customer code, maintained by fastn.
Scan content your product handles for sensitive data using the customer's own Nightfall detection rules, with no per-customer code.
Block or redact at the point of entry so a support message or uploaded file does not carry a credential or card number into your system.
React to a violation event so your product opens a record, notifies an owner or quarantines the item while it still matters.
Read findings and their status per tenant so reporting reflects that customer's own policy rather than an aggregate.
For your AI agents
Governed, audited access for the agents you build, through the MCP server.
An agent checks whether content it is about to move contains sensitive data before it acts, with the scan logged.
An agent summarises which violations were raised for one customer and what kind of data they involved, reading only their account.
An agent updates the status of a finding within scoped permissions, with the change attributed.
Example prompt
Scan this attachment with Nightfall and tell me whether it contains anything we should not store.
Set up Nightfall AI in 4 steps
- 01Enable the Nightfall AI connector in your fastn dashboard.
- 02Have each customer supply their own Nightfall API key so scans run against their account and detection rules.
- 03Map the detection rules and finding fields your product uses, then enable the violation triggers you need.
- 04Call it from your product and expose the same connection to your agents through the MCP gateway.
Why teams use the Nightfall AI integration
What you get by embedding it with fastn instead of building it yourself.
- Ship a Nightfall AI integration without building it. Your customers connect their own Nightfall AI 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 a Nightfall AI update is not your on-call problem.
- One integration serves your product and your agents. The same governed Nightfall AI 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
Works well with
Often used alongside
Tools the same teams tend to run next to Nightfall AI, across other categories.
Nightfall AI integration FAQ
How do I add a Nightfall AI integration to my product?
Enable the Nightfall AI connector in your fastn dashboard, then let each customer authenticate their own Nightfall AI account. fastn handles the OAuth flow, token storage and refresh per tenant, so there is no Nightfall AI client code in your app and no per-customer branch in your codebase. Setup is 4 steps.
Do my customers each connect their own Nightfall AI account?
Yes. Every connection is scoped to the individual customer, so each authorises their own Nightfall AI 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 Nightfall AI 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 checks whether content it is about to move contains sensitive data before it acts, with the scan logged.
Who maintains the Nightfall AI integration?
fastn does. When Nightfall AI 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 Nightfall AI 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 Nightfall AI 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 Nightfall AI integration?
A common starting point: scan content your product handles for sensitive data using the customer's own Nightfall detection rules, with no per-customer code. 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 Nightfall AI integration cost?
It is included. Pricing is based on connected accounts, not on how many connectors you enable, so adding Nightfall AI does not change your per-connector cost. You can start free with 3 connected accounts.
Add Nightfall AI to your product
Start free with 3 connected accounts. No sales call required, and no per-customer integration code.