posture

Runtime-agnostic Python library for CCM (Continuous Control Monitoring) data collection. The entire contract: credentials in, DataFrame out. Runs unchanged in Docker, Airflow, Databricks — the library never knows or cares where it executes.

Installation

pip install posture

posture loads a .env file from the current directory (or a parent) automatically on import — no code changes needed. Variables already set in the environment always take precedence over .env values.

# .env
CROWDSTRIKE_CLIENT_ID=xxx
CROWDSTRIKE_CLIENT_SECRET=xxx
OKTA_DOMAIN=https://your-org.okta.com
OKTA_TOKEN=xxx
WORKSPACEONE_CLIENT_ID=xxx
WORKSPACEONE_CLIENT_SECRET=xxx
WORKSPACEONE_API_SERVER=asXXX.awmdm.com
WORKSPACEONE_TOKEN_URL=https://na.uemauth.workspaceone.com/connect/token  # optional, see below
UPGUARD_API_KEY=xxx
UPGUARD_BASE_URL=https://au.cyber-risk.upguard.com/api/public  # optional, see below
JAMF_URL=https://your-org.jamfcloud.com
JAMF_CLIENT_ID=xxx
JAMF_CLIENT_SECRET=xxx
INTUNE_TENANT_ID=xxx
INTUNE_CLIENT_ID=xxx
INTUNE_CLIENT_SECRET=xxx
MDE_TENANT_ID=xxx
MDE_CLIENT_ID=xxx
MDE_CLIENT_SECRET=xxx

Usage

from posture import CCM

ccm = CCM("crowdstrike")                          # creds from CROWDSTRIKE_* env vars
ccm = CCM("crowdstrike", {"client_id": "xxx"})    # partial override, rest from env

df = ccm.collect("hosts")                          # always a complete pandas DataFrame
ccm.flush_cache()                                  # the only cache invalidation

collect() always returns a complete pandas.DataFrame for the requested resource, or raises — there is no such thing as a partial snapshot in this library.

Example: export Crowdstrike hosts to local JSON

import json
from pathlib import Path

from posture import CCM

# CROWDSTRIKE_CLIENT_ID / CROWDSTRIKE_CLIENT_SECRET must be set in the environment
ccm = CCM("crowdstrike")
df = ccm.collect("hosts")

output_dir = Path("output")
output_dir.mkdir(exist_ok=True)

output_path = output_dir / "hosts.json"
output_path.write_text(df.to_json(orient="records", date_format="iso", indent=2))

print(f"Wrote {len(df)} hosts to {output_path}")

Supported sources

Source Resources
crowdstrike hosts, vulnerabilities, vulnerability_remediations, zero_trust_assessment, zero_trust_assessment_os_signals, zero_trust_assessment_sensor_signals
okta users, devices, device_users
workspaceone computers
upguard vendors, domains, breached_identities, organisation, vendor_risks
jamf computers_inventory, computers_inventory_detail, mobile_devices, policies, categories, buildings, departments
intune managed_devices, users, device_configurations, managed_device_detail, device_configuration_detail, device_compliance_policies, attack_simulations, attack_simulation_users
mde machines, vulnerabilities, device_av_info, machine_vulnerabilities

Crowdstrike configuration

Constructor key Env var
client_id CROWDSTRIKE_CLIENT_ID
client_secret CROWDSTRIKE_CLIENT_SECRET

Okta configuration

Constructor key Env var
domain OKTA_DOMAIN
token OKTA_TOKEN

Workspace ONE configuration

Constructor key Env var
client_id WORKSPACEONE_CLIENT_ID
client_secret WORKSPACEONE_CLIENT_SECRET
api_server WORKSPACEONE_API_SERVER
token_url WORKSPACEONE_TOKEN_URL (optional — defaults to the APAC realm; set explicitly if your tenant is NA or EMEA, since there's no reliable way to derive the realm from api_server)

UpGuard configuration

Constructor key Env var
api_key UPGUARD_API_KEY
base_url UPGUARD_BASE_URL (optional — defaults to the AU tenant)

vendor_risks fans a request out per vendor across a thread pool (UpGuard's /risks/vendors sweep is 1–60s per vendor and there can be hundreds of vendors) — the only posture resource that does concurrent per-parent network calls rather than sequential pagination. Tune with collect("vendor_risks", max_workers=8, max_pages=200).

Jamf configuration

Constructor key Env var
url JAMF_URL
client_id JAMF_CLIENT_ID
client_secret JAMF_CLIENT_SECRET

Only the fields the accelerator explicitly renamed are ported for computers_inventory, computers_inventory_detail, and mobile_devices — the reference implementation passes the rest of each response through via generic flattening, which posture's allowlist-only manifest doesn't support. computers_inventory_detail fetches one computer at a time by id (from computers_inventory), same pattern as Okta's device_users.

Intune and MDE configuration

Both authenticate via Azure AD client-credentials against the tenant's OAuth2 endpoint (shared internal helper, not vendor SDKs).

Constructor key Env var
tenant_id INTUNE_TENANT_ID / MDE_TENANT_ID
client_id INTUNE_CLIENT_ID / MDE_CLIENT_ID
client_secret INTUNE_CLIENT_SECRET / MDE_CLIENT_SECRET

Neither supports incremental sync (the reference implementations do via $filter checkpoints) — every collect() is a full snapshot, per posture's locked snapshot semantics. intune's device_configurations / device_configuration_detail only carry the fields the accelerator explicitly named as aliases, not the full raw Graph payload it also flattens generically. mde's machine_vulnerabilities fans a request out per machine across a thread pool (up to max_workers, default 25) — the same pattern as UpGuard's vendor_risks. intune's attack_simulation_users fetches the targeted-user report for each attack_simulations id (one paginated call per simulation, click/report/training events kept as JSON blobs rather than exploded into further tables).

Development

pip install -e ".[dev]"
pytest
ruff check src tests
black src tests

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for massyn from gravatar.com massyn

Credits

Author: Phil Massyn

License

MIT License (MIT License)

Requires

Python >=3.10

Provides Extra

dev

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

posture-0.0.2.tar.gz (37.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

posture-0.0.2-py3-none-any.whl (34.7 kB view details)

Uploaded Python 3

File details

Details for the file posture-0.0.2.tar.gz.

File metadata

  • Download URL: posture-0.0.2.tar.gz
  • Upload date:
  • Size: 37.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for posture-0.0.2.tar.gz
Algorithm Hash digest
SHA256 fa1f128fe14069ea00f19bd4051ac21b4e04a2ed2236bcf2e5ee4c0f095293ec
MD5 0f8fe77b843325d33ef6290aec270bc0
BLAKE2b-256 1471149423af05df16ab4b95199e63085a460491c032076345e11ae920df2d69

See more details on using hashes here.

File details

Details for the file posture-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: posture-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 34.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for posture-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 da16b4a735623ec426f3fb4b5c567f80ae3306021bbef324e09f7397dc627de0
MD5 ef13fdca1ea8f8cc22e593b0e5c9cf1d
BLAKE2b-256 c2f1207e3e5e03819294a2921c1d1d3ef9a4d366f8c049392416dd5e3d5a12db

See more details on using hashes here.

Release history Release notifications | RSS feed

1.3.0

2 files

1.2.0

2 files

1.1.0

2 files

1.0.1

2 files

1.0.0

2 files

0.23.0

2 files

0.21.0

2 files

0.20.1

2 files

0.20.0

2 files

0.19.5

2 files

0.19.3

2 files

0.19.2

2 files

0.19.1

2 files

0.19.0

2 files

0.18.1

2 files

0.18.0

2 files

0.17.5

2 files

0.17.4

2 files

0.17.3

2 files

0.17.2

2 files

0.17.1

2 files

0.17.0

2 files

0.16.1

2 files

0.16.0

2 files

0.15.2

2 files

0.15.1

2 files

0.15.0

2 files

0.14.0

2 files

0.13.3

2 files

0.13.2

2 files

0.13.1

2 files

0.13.0

2 files

0.12.1

2 files

0.12.0

2 files

0.11.0

2 files

0.10.1

2 files

0.10.0

2 files

0.9.5

2 files

0.9.4

2 files

0.9.3

2 files

0.9.2

2 files

0.9.1

2 files

0.9.0

2 files

0.8.4

2 files

0.8.3

2 files

0.8.2

2 files

0.8.1

2 files

0.8.0

2 files

0.7.1

2 files

0.7.0

2 files

0.6.1

2 files

0.6.0

2 files

0.5.2

2 files

0.5.0

2 files

0.4.6

2 files

0.4.4

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.2

2 files

0.3.1

2 files

0.2.6

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.0.4

2 files

0.0.3

2 files

This release

0.0.2 This release

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page