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Drata

Drata automates your compliance journey from start to audit-ready and beyond and provides support from the security and compliance experts who built it.

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Python

Integrate the Drata API with the Python API

Setup the Drata API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Drata and Python remarkably fast. Free for developers.

Popular Ways to Connect Drata with Python

Run Python Code with Python API on Employee Terminated from Drata API
Drata + Python
 
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Run Python Code with Python API on Failed Monitor from Drata API
Drata + Python
 
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Run Python Code with Python API on New Asset Added from Drata API
Drata + Python
 
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Run Python Code with Python API on New Control Added from Drata API
Drata + Python
 
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Run Python Code with Python API on New Evidence for Control Added from Drata API
Drata + Python
 
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Popular Drata and Python Triggers

Employee Terminated from the Drata API

Emit a new event when an employee is terminated. See the documentation.

 
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Failed Monitor from the Drata API

Emit a new event whenever a monitor fails. See the documentation.

 
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New Asset Added from the Drata API

Emit a new event for every new asset. See the documentation.

 
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New Control Added from the Drata API

Emit a new event for every new control. See the documentation.

 
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New Evidence for Control Added from the Drata API

Emit a new event for every new evidence for a control. See the documentation.

 
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Popular Drata and Python Actions

Create Asset with the Drata API

Create an asset. See the documentation.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create Control with the Drata API

Create a new Control. See the documentation.

 
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Create Vendor with the Drata API

Create a new Vendor. See the documentation.

 
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Find Controls with the Drata API

Find Controls. See the documentation.

 
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Overview of Drata

Drata is a compliance automation platform. Drata’s platform is built by compliance and security experts so you don’t have to be one. With 75+ native integrations, you can easily connect your tech stack and automate evidence collection and testing.

Pipedream customers get 25% off Drata, with implementation fees waived. Visit https://drata.com/partner/pipedream for more information.

Connect Drata

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    drata: {
      type: "app",
      app: "drata",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://public-api.drata.com/public/controls`,
      headers: {
        Authorization: `Bearer ${this.drata.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}
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