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Credo AI

api-docs-3efa27f93685 commercial

Credo AI is a platform for auditing and managing AI governance, compliance, and responsible AI practices across organizations.

Summary

Credo AI is a commercial SDK that lets you programmatically manage AI governance workflows, covering use cases, models, and vendors. It costs money. It is run as a service by providing Python and TypeScript client libraries that can be integrated either by writing custom API calls or by utilizing existing integration guides. It is for practitioners managing compliance-automation risks related to AI/ML governance, and its documentation positions it alongside service integrations for systems like JIRA and ServiceNow. The product was launched in 2020.

Credo AI is a platform for auditing and managing AI governance, compliance, and responsible AI practices across organizations.

How Credo AI helps

Which AI systems in my organization have never been registered for governance tracking?

keeps a use-case registry you can query and compare against the models and vendors linked to it, surfacing applications that exist without a governing use case

Which models in use are tied to a vendor nobody has reviewed?

tracks the relationship between registered models and vendors, so a model without a linked, tracked vendor shows up as a gap

Which third-party AI providers is my organization actually depending on?

maintains a vendor registry separate from the model registry, letting you list every vendor tracked and see which models or use cases reference each one

Does a new intake request automatically become a tracked use case, or does someone have to remember to add it?

connects to JIRA and ServiceNow so a new issue or intake-table record fires a call that creates the corresponding use case with its name and description, removing the manual registration step

Are the relationships between my use cases, models, and vendors documented anywhere I can query?

exposes each pairing (use case to model, use case to vendor, model to vendor) as its own resource, so you can pull the full governance graph rather than reconstruct it from separate records

all 5 features, with the evidence for each →

Languages

Not documented

Features

5 capabilities

Built from Credo AI's releases, docs, README and our own runs. “Seen” marks the month we first spotted a release the vendor didn't date. Group names and tags are our labels.

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What Credo AI offers you

  • Client SDKs1
  • Python scripting support1
  • Scripting API1
  • Scripting language support1
  • Ticketing integration1
  • REST API
All capabilities 5 capabilities
Jira and ServiceNow use case creation documented Automatically creates Credo AI use cases from Jira issue creation events via webhook, or from new ServiceNow AI intake table records via a server-side Business Rule, using configurable field mappings. 3 other sources · first seen Aug 2026

Also counts toward: Ticketing integration

docs

  • JIRA Webhook Integration Automatically create Credo AI use cases when Jira issues are created. Splunk Shadow AI Ingestion Poll AI-usage / CASB-style activity events out of a Splunk index and forward them to Credo AI's Shadow AI Discovery surfaces. docs update · Oct 2026 · source
  • JIRA Webhook Integration Automatically create Credo AI use cases when Jira issues are created. ServiceNow use case creation When a new record is inserted into your AI intake table in ServiceNow, a Business Rule fires server-side docs update · Aug 2026 · source
  • When a new record is inserted into your AI intake table in ServiceNow, a Business Rule fires server-side and calls the Credo AI Integration Service to create a corresponding use case — using the use case name and description pulled from columns you specify. Delivery type: Native Integration — no external server. docs update · Aug 2026 · source
Custom fields shipped Allows tenants to define and manage custom metadata fields on entities via configurable field schemas. 1 release · 1 other source · first seen Oct 2026

release

  • Adds Custom Field Types API for defining and managing custom field schemas.⁠︀︄︇︀︅︉︀︅︀︀︃︀︀︅︅︀︅︊︀︄︆︀︃︄⁠ api-docs-3efa27f93685 · Oct 2026 · source · release history

docs

  • Custom Fields Tenant-defined metadata on entities Custom Field Types Custom field schemas seen Oct 2026 · source
Splunk Shadow AI ingestion documented suggested Polls AI-usage and CASB-style activity events from a Splunk index and forwards them to Credo AI's Shadow AI Discovery surfaces using raw HTTP calls. 2 other sources · first seen Oct 2026

Suggested capability: Sensitive data discovery. This is our guess, not confirmed.

docs

  • JIRA Webhook Integration Automatically create Credo AI use cases when Jira issues are created. Splunk Shadow AI Ingestion Poll AI-usage / CASB-style activity events out of a Splunk index and forward them to Credo AI's Shadow AI Discovery surfaces. docs update · Oct 2026 · source
  • Poll AI-usage / CASB-style activity events out of a Splunk index and forward them to Credo AI's Shadow AI Discovery surfaces. This cookbook uses raw HTTP calls rather than an SDK method, since neither SDK ( pycredoai @credo-ai/sdk ) has a shadow_ai method yet. docs update · Oct 2026 · source
Integration cookbooks documented Step-by-step, runnable integration guides hosted in a GitHub repo, each tagged by target system, integration pattern, and delivery type to support multiple browsing paths. 2 other sources

docs

  • Step-by-step integration guides. Each one explains why you'd want it and how it works — the runnable code lives in credo-ai/credoai-recipes . Every cookbook is tagged three ways — by target system , integration pattern , and delivery type — and none of the three is the primary way to browse. seen Aug 2026 · source
  • Delivery type: Cookbook — clone the repo and run this yourself. Get the code Full source on GitHub ServiceNow Use Case Creation — same integration pattern, no server required seen Aug 2026 · source
SDK integration documented Python and TypeScript SDKs let developers write code directly against the Credo AI API, with the Python SDK exposing audit-log list, query, and get endpoints. 2 other sources

Also counts toward: Python scripting support, Scripting API, Scripting language support, Client SDKs

docs

  • Two ways to integrate Use the SDK directly — write Python or TypeScript code against the Credo AI API yourself. Full control, best when your integration doesn't match an existing recipe. Start with SDK Comparison or jump straight to the Quickstart . seen Aug 2026 · source
  • 1.2.1 1.2.1 2026-08-24 — the Python SDK exposes audit-log list/query/get endpoints. The TypeScript SDK does not include an audit-logs resource. seen Aug 2026 · source

Lines in monospace are the tool's own words: help text parsed from its source, or an endpoint from its API document. Under release, a line is our summary of a dated release. Under docs, it is quoted from the tool's own documentation or website. Each links back to the source it came from.

Score card

  1. Shipping velocity releases a month, last 12 months
  2. Documentation quality release-notes rubric, 0–100
  3. Breaking-change discipline how rarely a release breaks users, and notice given
  4. Maintenance risk quiet time against its own cadence, maintainers
  5. Innovation & surface new capabilities, API and MCP surface

Five scores for Credo AI, each built from the releases, notes and API history this site tracks — and, on Researcher and Business, where it stands among every measured tool in its category and how that has moved.

Score cards are part of every paid plan.

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Each score is 0–100 on a published rubric, derived from data this site already shows. A dimension we cannot measure says so — it is never scored 0 and never enters a rank.

How this is scored
  • Shipping velocity — releases a month over the last 12 months, on a log scale where 16 a month scores 100. Needs 3 releases in the window.
  • Documentation quality — the release-notes rubric published on the analytics page, unchanged.
  • Breaking-change discipline — the share of releases carrying a breaking change (none scores 100, half or more scores 0). Only projects that label breaking changes are measured: a clean record cannot be told from an unlabelled one.
  • Maintenance risk — quiet time measured against the tool's own release cadence (quiet longer than 90 days and three typical gaps scores 0), plus the number of active maintainers and whether contributors are growing, where known. Higher is lower risk.
  • Innovation & surface — new capabilities in the feature ledger this year, API and MCP operations added, and the share of commits that are features: the mean of whichever we hold.
  • Community health (open-source tools only) — each is a direction, not a size: contributors this year against last, the bus factor now against a year ago, and issues closed per issue opened, where steady scores 50, doubled 100 and halved 0; plus the median time to a maintainer's first reply (an hour scores about 100, a month or more 0). A commercial card has no repository and carries none of the four.
  • Documented delivery (commercial tools) — when a vendor's documented new capabilities have slowed against its own baseline, that counts against the overall standing as heavily as two low dimensions. Steady delivery, or too little history to judge, leaves the standing alone; it is never a sixth score.
  • Open-source tools are scored on repository signals; commercial tools on their published changelog. Ranks compare tools within one category and one profile and need at least five measured peers; the overall standing needs three ranked dimensions. Best-in-breed or consolidator is a shape, not a quality, and is never scored.

Release-note detail over time

See how much detail Credo AI puts in its release notes, quarter by quarter, and compare it with tracked tools in the same category. This history uses up to ten retained, reviewed notes per tool; sparse or blank older quarters may reflect that limit.

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Coverage

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What Credo AI connects to, runs on and detects, read from its release notes and docs. So far: 3 new integrations.

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3 changes, tracked since Oct 3, 2026.

  • Oct 32026

    new Jira Webhook Integration

    JIRA Webhook Integration Automatically create Credo AI use cases when Jira issues are created.

    Source ↗

  • Oct 32026

    new Splunk Shadow AI Ingestion

    Splunk Shadow AI Ingestion Poll AI-usage / CASB-style activity events out of a Splunk index and forward them to Credo AI's Shadow AI Discovery surfaces.

    Source ↗

  • Oct 32026

    new Splunk Shadow AI event ingestion integration

    Poll AI-usage / CASB-style activity events out of a Splunk index and forward them to Credo AI's Shadow AI Discovery surfaces.

    Source ↗

How we count

Read from 3 of 5 release notes and docs updates we hold for Credo AI. "First seen" is the earliest note that names something; "last" is the latest. Our history may start partway through Credo AI's life, so an old integration can show a recent first-seen date.

Each change counts once: "added 40 checks" is one line, so the numbers measure how often coverage moves, not how big the catalogue is or how well it detects.

Releases

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Coverage in all entries

5 entries

  1. October 20263
  2. August 20262
    Show
    Coverage in all entries

    5 entries

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