BigID API/DSAR Tutorial: Difference between revisions

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<iframe style="border:0px; width:100%; height:400px; border-radius:10px;" src="https://apibrowser.mybigid.com/?url=sar/profiles&method=GET&selectedSetting=headers&headers=%5B%7B%22name%22%3A%22Authorization%22%2C%22value%22%3A%22SAMPLE%22%7D%5D"></iframe>
<iframe style="border:0px; width:100%; height:400px; border-radius:10px;" src='https://apibrowser.mybigid.com/?url=sar/profiles&method=GET&selectedSetting=none&headers=%5B%7B%22name%22%3A%22Authorization%22%2C%22value%22%3A%22SAMPLE%22%7D%5D'></iframe>
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Revision as of 17:58, 26 October 2021

This page is a work in progress. The information here is most likely incorrect and not intended for public viewing.

In this article, you'll learn:

  • Find a DSAR profile using the BigID API
  • Search for individuals using attributes using the BigID API
  • Run a DSAR scan using the BigID API
  • Get a DSAR report using the BigID API


scenarioYou already have your own account management portal that also manages other tasks for your business. You already have BigID for your security and data governance teams and they've mentioned that it can perform DSARs too. Run the DSAR calls required to integrate your management portal with BigID's DSAR capabilities

In this tutorial, we'll use SAMPLE as our session token. This is unique to the training sandbox and will not work in other environments. See BigID API/Tutorial for information on authenticating with BigID.

Getting DSAR Profiles[edit]

BigID uses DSAR profiles to specify which databases to look for users. You can create these using the APIs, but creating them via the UI is preferred since the UI will provide suggestions as you work. In our case, we already have a few data sources within our system.

From this API call we can see a list of DSAR profiles. This also gives us insight into why organizations use DASR profiles. Different groups of systems can have users with the same unique ID (employee number 1 and customer number 1 are probably different people). Profiles allow us to segment those user groups. Below we see a different profile for US customers to illustrate that.

{
  "profiles": [
    {
      "_id": "5d93e8431810782ce9173ae0",
      "name": "Default Profile",
      "allEnabledEs": true,
      "allEnabledDs": true,
      "scopes": [
        "root"
      ],
      "isCustom": false
    },
    {
      "_id": "614d7794dfa3fdf8bd71cacb",
      "allEnabledDs": true,
      "allEnabledEs": false,
      "name": "ALL PI for US Customer",
      "scopes": [
        "root"
      ],
      "shouldAttributesEnrichment": true,
      "isCustom": true
    }
  ]
}

In our case, we know a user with the email [email protected] is present in the default profile. However, we need to figure out what attributes we can use to execute a DSAR with this profile so we get the names correct.

Let's initiate a DSAR on this user.

Initiating a DSAR[edit]

We now know the API calls we need and can use our programming language of choice to prepare our report. Below are some samples.

import fetch from 'node-fetch';

let credentials = { username: "bigid", password: "learner" };
let env = "https://sandbox.mybigid.com/";

async function getDataSources(credentials, env) {
    // Request API Key using user/pass authentication
    const sessionRequest = fetch(env + 'api/v1/sessions', {
        method: 'POST',
        body: JSON.stringify(credentials),
        headers: { 'Content-Type': 'application/json' }
    });
    const sessionData = await request.json();

    const dsRequest = fetch(env + 'api/v1/ds-connections', {
        method: 'GET',
        headers: {
            'Content-Type': 'application/json',
            'Authorization': sessionData.auth_token
        }
    });
    return await dsRequest.json();
}
let credentials = { username: "bigid", password: "bigid111" };
let env = "https://sandbox.mybigid.com/";

async function getDataSources(credentials, env) {
    // Request API Key using user/pass authentication
    const sessionRequest = window.fetch(env + 'api/v1/sessions', {
        method: 'POST',
        body: JSON.stringify(credentials),
        headers: { 'Content-Type': 'application/json' }
    });
    const sessionData = await request.json();

    const dsRequest = window.fetch(env + 'api/v1/ds-connections', {
        method: 'GET',
        headers: {
            'Content-Type': 'application/json',
            'Authorization': sessionData.auth_token
        }
    });
    return await dsRequest.json();
}
import requests

credentials = {'username':'bigid', 'password':'bigid111'}
env = 'https://sandbox.mybigid.com/'

def getDataSources(credentials, env):
    sessionRequest = requests.post(env+'api/v1/sessions', data = credentials)
    sessionData = sessionRequest.json()
    dsRequest = requests.get(env+'api/v1/ds-connections', headers = {'Authorization':sessionData.get('auth_token')})
    return dsRequest.json()