taegis-sdk-python

Taegis SDK for Python

The Taegis SDK is a Python library for interfacing with the GraphQL APIs in Taegis.

Prerequisites

• Python 3.8 or higher.

Authentication

• Set CLIENT_ID and CLIENT_SECRET environment variables as described in the Taegis XDR Documenation.

OR

• Login using username/password with mfa upon service creation

OR

• Device Code SSO

Installation

python -m pip install taegis-sdk-python

Using the SDK

To use the SDK, you must first import the GraphQLService

from taegis_sdk_python import GraphQLService
from pprint import pprint as pp
service = GraphQLService()

Now that you have the GraphQLService, you can make requests and process responses for Taegis XDR Services. The following example uses the Investigations Service to send a query to get all available investigations

result = service.investigations.query.investigations_search(
    page=1,
    per_page=3,
    query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)

result = service.tenants.query.tenants(tenants_query=TenantsQuery(
    max_results=10,
    page_num=1,
))
pp(result)

results = service.events.subscription.event_query(
    query="FROM process EARLIEST=-1d",
    options=EventQueryOptions(
        max_rows=20,
        page_size=10,
        skip_cache=True,
    ),
)
pp(results)
print()
try:
    next_page = next(
        iter(
            {
                result.next
                for result in results
                if result.next
            }
        )
    )
except StopIteration:
    next_page = None

if next_page:
    results = service.events.subscription.event_page(page_id=next_page)
    pp(results)

Getting Started Exploring the Schema

from taegis_sdk_python import GraphQLService

service = GraphQLService()
schema = service.core.get_sync_schema()

For more in depth analysis see: Exploring the Schema

For more information see the Getting Started