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TrustOps turns customer-owned evidence into deterministic controls and audit-ready proof

Open source · self-hosted · customer-owned evidence

PyPI version Python 3.11+ Build status License: Apache 2.0

TrustOps

Read-only evidence. Deterministic controls. Audit-ready proof.
One self-hosted platform for operators, agents, and auditors — backed by the same verifiable JSON.

Quick start · Product tour · Connectors · Architecture · API & MCP · Deploy

One operating loop

Collect evidence, evaluate controls, operate findings, and prove posture

Collect evidence read-only, evaluate controls with deterministic rules, operate the findings, and prove posture with immutable snapshots.

Regulatory requirements are consolidated into a Common Control Framework: you operate one safeguard, and it satisfies every requirement mapped to it across frameworks. The catalog holds 942 requirements across 13 frameworks; run security-lakehouse frameworks safeguards for current coverage.

Evidence stays in your environment. Models may summarize and prioritize; they do not silently change evidence or decide pass/fail.

The open-source, self-hosted alternative to managed GRC SaaS — interoperable, secure, and built to scale in your environment.

TrustOps Managed GRC SaaS
Evidence location Your VPC or laptop — data never leaves Vendor servers
Control evaluation Deterministic rules, no model drift Varies by vendor
API surface Native /api/v1 + MCP stdio for agents Web-first, limited API
Interoperability CCF maps one safeguard to 13 frameworks Proprietary control sets
Cost model Open source (Apache 2.0) Per-seat subscription
Self-hosted Full stack on your infra or CI Cloud-only options

Where to start

I am… Start here
DevSecOps / security engineer Quick start → Connectors → CI gate
Compliance / GRC lead Product tour → Framework coverage
AI / agent builder Agent API → MCP server → AIBOM
Auditor / assessor Audit room → Snapshot integrity
Operator deploying deploy/README.md → Server auth

Quick start

Requires Python 3.11+ and Node 22+ (the console is built from source; it is not committed to the repository). For the fastest path, use make demo-local which runs the whole sequence in one step.

python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev,server]"

make web-install web-build   # builds the console into src/security_lakehouse/web/dist

security-lakehouse fixtures load --company golden --out build/lakehouse
security-lakehouse db upgrade --lake build/lakehouse
security-lakehouse serve \
  --lake build/lakehouse \
  --server \
  --allow-insecure-no-auth \
  --port 8787

Open http://127.0.0.1:8787/console/dashboard/.

Note: Skipping make web-install web-build leaves /console/ as a 404. The server mounts the console only when a built dist is present. --allow-insecure-no-auth is for local development only.

Other install paths:

# Evaluator: container (no build required)
docker run -p 8787:8787 ghcr.io/msaad00/trustops:latest

# Kubernetes
helm install trustops deploy/helm/trustops

# CLI / local lake only (zero dependencies)
pip install trustops-security-data-lake
security-lakehouse fixtures load --company golden --out ./lake

See deploy/README.md for production configuration and authentication setup.

Surfaces — console, API, CLI, MCP, CI
Surface Purpose
Console Posture, controls, evidence, findings, workflows, and audit room
API Versioned /api/v1 contract
CLI Local pipelines, validation, snapshots, and server operations
MCP & agents Read posture and propose governed actions with approval boundaries
CI Block releases when posture or control-test thresholds regress
Connectors — least-privilege, read-only

AWS · Azure · GCP · GitHub · GitLab · Okta · Snowflake · ClickHouse, plus the scanner, ticketing, and AI-platform entries in connectors/catalog.json.

Product preview

Trust Home Audit room
TrustOps Trust Home TrustOps audit room
Evidence Connectors
TrustOps evidence room TrustOps connector registry

More views: frameworks · insights · workflows · trust center

Connect a live source

The default path is agentless and read-only; no pre-existing data lake is required.

  • Console: open Connectors, choose a source, then run Discover → Test → Enable → Sync.
  • Headless: follow the connector setup playbook for API, CLI, and MCP flows.
  • Existing lake: connect Snowflake or ClickHouse when evidence already lives there.

Cloud connectors use short-lived provider credentials or workload identity. No connector requires pasted long-lived cloud keys. TrustOps stores non-secret identifiers, redacted fingerprints, sync history, and evidence hashes.

Connector security contracts:

  • AWS uses STS AssumeRole, one External ID per deployed role, short-lived session credentials, and read-only IAM posture APIs. Temporary credentials expire after each session; TrustOps stores no long-lived access keys. Scale rollout with CloudFormation StackSets or Terraform workspaces; Bulk account import is the next operator surface.
  • Azure uses a customer-owned Entra application, managed identity, or federated workload identity with Reader scope. Tokens are short-lived, and no Azure password or raw client secret is stored.
  • Snowflake supports browser SSO for human proof or a read-only service identity with a key-pair or OAuth token reference held by the runtime secret manager. TrustOps stores account, role, and view identifiers — not passwords or private-key contents. Snowflake is the existing security-data-lake path.

TrustOps AWS STS AssumeRole lifecycle

Architecture

read-only source → raw observation → normalized fact → deterministic evaluation
                 → finding/current posture → immutable snapshot → governed action

TrustOps collection, evaluation, and proof architecture

The console, CLI, MCP server, agents, and CI gate share the same API and assessment engine. This keeps browser output and headless automation consistent.

What ships

Area Included
Compliance SOC 2, NIST AI RMF, FedRAMP, ISO, CIS AWS, HIPAA, PCI DSS, GDPR, and EU AI Act packs
Evidence Freshness SLAs, provenance, SHA-256 verification, tags, and saved views
GRC workflows Remediation, policies, attestations, vendor risk, access reviews, and approvals
Identity OIDC, SAML, API keys, RBAC, tenant boundaries, and SCIM scaffolding
Deployment Local, Docker, Helm, EKS reference IaC, Snowflake, and ClickHouse
Exports Snapshots, executive PDF, trust shares, OpenAPI, MCP, and GitHub posture gate

See the product shape for shipped, partial, and planned capability status.

Verify

make smoke       # backend, contracts, docs, brand, pipeline, API
make web-ci      # install, typecheck, production build
make security    # dependency audits and pre-commit checks

Regenerate documentation screenshots with make demo-screenshots-full.

Repository map

src/security_lakehouse/   assessment engine, API, auth, connectors, MCP
app/web/                  Next.js console
controls/ frameworks/     control catalogs, packs, and mappings
deploy/                   Docker, Helm, cloud, warehouse, and IaC examples
docs/                     product, architecture, operations, and API guides

Documentation

Apache-2.0 licensed. Third-party visual assets and usage terms are documented in THIRD_PARTY_ASSETS.md.

Release files for trustops-security-data-lake 0.2.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for trustops-security-data-lake 0.2.7
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trustops_security_data_lake-0.2.7.tar.gz 2.3 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for trustops-security-data-lake 0.2.7
File Interpreter ABI Platform
trustops_security_data_lake-0.2.7-py3-none-any.whl Python 3 none any Details

Total release size: 4.7 MB

Release files / trustops_security_data_lake-0.2.7.tar.gz

Download URL trustops_security_data_lake-0.2.7.tar.gz
Size 2.3 MB
Tags Source
SHA-256 checksum
How to use checksums
7ac67929681467a1fc7447330f5b37998e0ad155ea062b05ccd3a75cc2f99850
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How to use checksums
3342fe7d3490bea2b62510465df05aee456d61467e43e1b67113332a307a871a
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What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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Signed by GitHub Actions, verified by PyPI on Sep 1, 2026.

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Release files / trustops_security_data_lake-0.2.7-py3-none-any.whl

Download URL trustops_security_data_lake-0.2.7-py3-none-any.whl
Size 2.4 MB
Tags Python 3
SHA-256 checksum
How to use checksums
c61e843451352822c7d53f230d38cde8482338e731c6a1759d7b55615f69de8f
BLAKE2b-256 checksum
How to use checksums
7ef5b28a740fa9b7f5d37055237c15d43fd17dddb1830b4c9f2e2e4022010857
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 1, 2026.

Transparency log

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0.2.16

2 release files

0.2.15

2 release files

0.2.14

2 release files

0.2.13

2 release files

0.2.12

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0.2.11

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0.2.10

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0.2.9

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0.2.8

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This release

0.2.7 This release

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0.2.6

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0.2.5

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0.2.4

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0.2.3

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0.2.2

2 release files

0.2.1

2 release files

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