Parse raw user agents into audit details
Turn opaque headers into device and browser facts your audit team can use.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
User Agent Parser API
Tool to parse a user-agent string into device, os, browser, and bot details. use when you have a raw user-agent header and need structured client info.
Why this helps
Raw user agent strings slow down investigations and invite inconsistent interpretation.
- Clarifies access evidence
- Speeds investigation triage
- Separates bot and human signals
Setup
Build it in a few focused steps.
- 1Connect 21risk and Big data cloud once in the Notis portal.
- 2Create an automation named User agent audit parser.
- 3Describe that Notis should parse each supplied user agent and summarize notable device or bot details.
- 4Pick a webhook trigger and choose the report destination.
- 5Test with one real header from an audit.
Questions about this workflow
What should the webhook contain?
It should contain the raw user agent string.
Can it identify bots?
It returns structured bot details when the parser can identify them.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 21risk to Big data cloud. A trigger fires from one place; an action lands in another.
21risk triggers
Big data cloud actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
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Connect any two apps with Notis in the middle.
21risk and Big data cloud, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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