Credo AI
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Credo AI is a platform for auditing and managing AI governance, compliance, and responsible AI practices across organizations.
curl -sk -u "$SPLUNK_USERNAME:$SPLUNK_PASSWORD" \ "https://$SPLUNK_HOST:$SPLUNK_PORT/services/search/jobs/export" \ -d "search=search index=$SPLUNK_INDEX sourcetype=$SPLUNK_SOURCETYPE earliest=-1h | head 5" \ -d "output_mode=json" cd server/python pip install -r requirements.txt python main.py
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
Languages
Score card
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Shipping velocity releases a month, last 12 months
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Documentation quality release-notes rubric, 0–100
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Breaking-change discipline how rarely a release breaks users, and notice given
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Maintenance risk quiet time against its own cadence, maintainers
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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.
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Blank means never measured; nothing here is a filled-in zero.
Peer standings are included with Researcher and Business. See how this tool ranks against its competitors, using data we don't publish anywhere else.
See plans →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.
3 changes, tracked since Oct 3, 2026.
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Oct 32026
new Jira Webhook Integration
JIRA Webhook Integration Automatically create Credo AI use cases when Jira issues are created.
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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.
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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.
SIEM & security analytics 1
Ticketing & ITSM 1
Nothing first seen in this window. That doesn't mean Credo AI shipped nothing, only that we found no record of it.
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
5 entries
No entries match these filters.
- October 20263
- August 20262
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