Analytics Platform Risk API

The Delinea Analytics Risk API can be used to get estimates of risk scores based on behavioral logic used to monitor activity and determine what can be considered as a ‘fraudulent' or ‘risky’ activity or event. The analysis done in the analytics system produces parameters that are used to score activities and events. Various ‘machine learning’ algorithms are processed and scores from the data used or a risk score from the event stream are being monitored. The monitoring processes generate notification alerts. The Risk API allows the customer to use these measures for their purpose and systems monitoring. This documentation gives an overview of the Risk API system and provides guidance for the customer.

API Contract Details

Version	v 0.1.0
	Method	POST
	URI	/api/risk_score
	Content Type	application/json
	Header	Content-Type: application/json
	Header	x-api-key: <x-api-key value saved in tenant system settings, x_api_key>
	json schema	json example
Request	{ “user”: { “id”:”string”, “attributes”: { “name”:”string”, “osType”:”string”, “deviceType”:”string” } }, “secret”: [ { “id”:”string”, “attributes”: { “folder”:”string”, “name”:”string”, “template”:”string”, “time”:”string” } } ], “action”: [ { “attributes”: { “name”:”string”, “code”:”int”, “time”:”string” } } ], “location”: [ { “attributes”: { “longitude”:”string”, “latitude”:”string”, “countryCode”:”string”, “time”:”string” } } ] }	{ “user”: { “id”: “167”, “attributes”: { “name”: “fake.user@thycotic.com“, “osType”: “macOS”, “deviceType”: “Macbook Pro” } }, “secret”: [ { “id”: “6521”, “attributes”: { “folder”: “”, “name”: “AWS password”, “template”: “”, “time”: “2021-09-28 17:00:00” } }, { “id”: “6531”, “attributes”: { “folder”: “”, “name”: “AWS certificate”, “template”: “”, “time”: “2021-09-28 18:00:00” } } ], “action”: [ { “attributes”: { “name”: “View account”, “code”: “444”, “time”: “2021-09-28 18:30:00” } } ], “location”: [ { “attributes” :{ “longitude”: “113.5514”, “latitude”: “40.7336”, “countryCode”: “USA”, “time”: “2021-09-28 14:00:00” } } ] }