Credo AI

Credo AI

Enterprise AI governance platform for continuous risk management and compliance across agents, models, and applications.

93/100Safe BetCustom pricingContact Sales

Credo AI sets the standard for enterprise AI governance with continuous monitoring, agent-level controls, and deep regulatory coverage. Its lack of public pricing and heavy enterprise focus mean small teams should look elsewhere. If you're a large org with complex AI ecosystems, it's the most comprehensive option.

Best for
  • Large enterprises deploying diverse AI agents, models, and applications at scale
  • Compliance teams needing to meet multiple regulations (EU AI Act, NIST, ISO) efficiently
  • Organizations requiring continuous monitoring and real-time risk alerts for AI systems
  • Governance leaders aiming to replace manual spreadsheets with automated, audit-ready workflows
Not ideal for
  • Small startups with a single AI model and limited regulatory burden
  • Teams seeking a free or lightweight governance checklist tool
  • Organizations wanting point-in-time compliance snapshots rather than continuous oversight
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AdvancedInitial setup for the AI Registry (connecting data sources and detecting systems) can be completed in a few hours with guidance. Full configuration of policy packs and workflows typically takes one to two weeks, depending on integration complexity. A proof-of-value pilot with a single use case can show results in the first week.WebAPI available7.1k viewsVerified 12d ago
Pricing
Custom pricing
Contact Sales6 hidden costs
Learning curve
Advanced
Initial setup for the AI Registry (connecting data sources and detecting systems) can be completed in a few hours with guidance. Full configuration of policy packs and workflows typically takes one to two weeks, depending on integration complexity. A proof-of-value pilot with a single use case can show results in the first week.
Runs on
Web
API available · 10 integrations
Who it's for
Enterprise compliance managerAI governance lead at a bankAuditor preparing for EU AI Act inspection
Live sentiment
Is Credo AI actually worth it?

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Skip it if

Skip Credo AI if you are a startup or small team with fewer than 50 employees and only one or two AI models, because the platform's enterprise focus, high cost, and complex onboarding will outweigh any benefits.

The 30-second take
Biggest gripe

Enterprise pricing means you will pay six figures annually after negotiations, with no self-service or fixed monthly tiers.

Price reality

Credo AI is built for enterprises with six-figure budgets; there are no transparent tiers. Cheaper alternatives include Vanta (GRC with AI module) or simpler spreadsheets. For startups, free tools like AI Verify or self-assessments are better fits.

In short

Credo AI — Enterprise AI governance platform for continuous risk management and compliance across agents, models, and applications. Best for Large enterprises deploying diverse AI agents, models, and applications at scale, Compliance teams needing to meet multiple regulations (EU AI Act, NIST, ISO) efficiently, Organizations requiring continuous monitoring and real-time risk alerts for AI systems. Contact Sales pricing.

What's new in Credo AI

Checked 12 days ago

Across the latest 3 updates: 2 feature updates and 1 launch.

Viability Score

93/100
Safe Bet

How likely is Credo AI to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
70
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • AI Registry: auto-discover and catalog AI systems across enterprise
  • Shadow AI detection and risk classification
  • Risk Intelligence: continuous bias, security, privacy assessment
  • Real-time monitoring and drift detection
  • Automated red-teaming and alerts
  • Policy Engine with pre-built policy packs for EU AI Act, NIST AI RMF, ISO 42001, SOC 2, GDPR, HITRUST
  • Custom guardrails and compliance mapping
  • Evidence generation for audit readiness
  • GAIA (Govern AI Assistant): multi-layer governance across model, agent, app, network
  • Agent Registry and Agent Cards for tracking autonomous agents
  • Agent-level and network-level governance
  • Vendor risk assessment portal with automated questionnaires
  • Pre-built regulatory coverage for Colorado SB21-169, NYC Local Law 144, ISO/IEC 42001
  • Continuous governance loop (assess, govern, monitor)
  • Integration with Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub, MLflow

About Credo AI

Contact SalesAdvancedAPI availableWeb

Credo AI is a purpose-built AI governance platform for large enterprises and regulated industries. It automates the discovery, assessment, and governance of AI systems—agents, models, and applications—continuously and in context. The platform replaces manual spreadsheets with workflows, pre-built policy packs for frameworks like EU AI Act, NIST AI RMF, ISO 42001, and real-time monitoring. Key features include AI Registry for full visibility into shadow AI, Risk Intelligence for continuous bias and security assessment, and GAIA (Govern AI Assistant) that compresses weeks of governance work into hours. It also offers agent-level governance with agent registry and agentic risk controls, plus a vendor risk assessment portal. Credo AI integrates with Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, Confluence, Slack, GitHub, and MLflow. It was named a Leader in the Forrester Wave (Q3 2025) and #6 in Applied AI on Fast Company's Most Innovative Companies of 2026. Unlike traditional GRC tools that bolt on AI features, Credo AI was built from the ground up for AI-specific risks like hallucination, drift, and emergent agent behavior. It provides continuous governance rather than point-in-time snapshots.

Behind the Verdict

Credo AI is the most mature pure-play AI governance platform we've evaluated, especially for large enterprises managing complex AI ecosystems. Its multi-layer governance—model, agent, application, network—and continuous monitoring loop are unmatched. The GAIA assistant alone can save compliance teams weeks of manual work. Where it shines: If you're a Fortune 500 company deploying dozens of agents and models across business units, and you need to satisfy EU AI Act, NIST, ISO, and SOC 2 simultaneously, Credo AI's pre-built policy packs and evidence generation are the real deal. The vendor risk assessment portal also adds value for procurement teams. Compared to alternatives: Most GRC tools (like ServiceNow GRC or OneTrust) add AI modules atop generic risk frameworks, which miss agent-specific risks like tool misuse and scope drift. Credo AI treats agents as first-class entities with dedicated registry and controls, which is increasingly critical as autonomous agents proliferate. Where it bites: There's no public pricing, and the platform is almost certainly expensive—definitely not for small teams or startups with a single model. The learning curve is steep, and you'll need dedicated governance staff to operationalize it. If you just need a lightweight checklist or a one-time audit, this is overkill. In practice, we'd recommend Credo AI for enterprises already running AI at scale, especially in regulated sectors like financial services or healthcare. For everyone else, a simpler tool or even spreadsheets might suffice until the regulatory pressure intensifies.

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Real-world workflow fit

Concrete scenarios for the personas Credo AI actually fits — and what changes day-one when you adopt it.

Enterprise compliance manager

Discover all AI systems in use across departments in under an hour.

Outcome: AI Registry auto-discovers models and apps, flags shadow AI, and assigns risk levels, giving a single source of truth within one day.

AI governance lead at a bank

Continuously monitor a high-risk loan-approval AI model for bias and drift.

Outcome: Risk Intelligence bias assessments run automatically, alerting the team within minutes of any drift, reducing compliance review cycles by 60%.

Auditor preparing for EU AI Act inspection

Generate audit-ready evidence for a high-risk system.

Outcome: Policy Engine maps controls to EU AI Act requirements, and Evidence Generation compiles logs and reports in a single click, ready for submission.

Use Cases

Models Under the Hood

Proprietary risk modelsExternal LLMs monitored via integration

as of 2026-07-04

Limitations

  • Pricing is not publicly available and likely enterprise-level (six-figure plus); no self-service tiers.
  • The platform's advanced features require dedicated onboarding and may overcomplicate governance for smaller teams.
  • Real-time runtime monitoring is available but may require additional setup with each model deployment.
  • Shadow AI discovery may have limited coverage outside integrated environments.

as of 2026-06-30

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Enterprise pricing means you will pay six figures annually after negotiations, with no self-service or fixed monthly tiers.
  • Onboarding and setup may require consulting fees or dedicated professional services beyond the license cost.
  • Customizing policy packs for non-standard regulations could involve additional configuration or support hours.
  • If you exceed a certain number of AI systems or API calls, overage charges or tier upgrades may apply; exact caps are not publicly disclosed.
  • Integrations with some internal systems may require additional middleware or security reviews that your IT team must handle.
  • Vendor risk portal advanced features may be an add-on at extra cost.

Where the pricing makes sense

The company stage and team size where Credo AI's pricing actually pencils out — and where peers do it cheaper.

Credo AI is built for enterprises with six-figure budgets; there are no transparent tiers. Cheaper alternatives include Vanta (GRC with AI module) or simpler spreadsheets. For startups, free tools like AI Verify or self-assessments are better fits.

Setup time & first value

How long it actually takes to get something useful out of Credo AI — broken out by persona, not the marketing-page minute.

Initial setup for the AI Registry (connecting data sources and detecting systems) can be completed in a few hours with guidance. Full configuration of policy packs and workflows typically takes one to two weeks, depending on integration complexity. A proof-of-value pilot with a single use case can show results in the first week.

Switching to or from Credo AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From spreadsheets: Import manual inventories into AI Registry to establish baseline quickly.
  • From generic GRC tools (ServiceNow GRC, Archer) via API integration to synchronize risks and policies.
  • From homegrown governance scripts: use Credo AI's API to ingest custom risk data and metrics.
Migrating out
  • To another AI governance platform (e.g., ModelOp, CalypsoAI) by exporting reports, risk assessments, and policy mappings via API.
  • To a generic GRC tool like ServiceNow GRC by generating evidence packages in standard formats (PDF, CSV).
  • To manual spreadsheets by downloading all registry and risk data as CSV exports (loss of automation).

Integrations

SnowflakeDatabricksAWSAzureServiceNowJiraConfluenceSlackGitHubMLflow

Resources & Guides

Tutorials & Learning

Tools that pair well with Credo AI

Common stack mates teams adopt alongside Credo AI, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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