Credo AI is an AI Governance / Model Risk vendor based in Palo Alto, California, USA. Its flagship product is Credo AI Governance Platform (AI Registry, Risk Intelligence, Policy Engine, agent governance). Against the OWASP LLM Top 10 (2025) we score it Covered on 2 of 10 risks, Partial on 3, with 5 MITRE ATLAS techniques mapped as of . It's independent.
- 2/10
- Risks covered
- 3
- Partial
- 5
- ATLAS techniques
- $41.3M
- Funding
- Active
- Status
At a glance
- Category
- AI Governance / Model Risk
- Headquarters
- Palo Alto, California, USA
- Founded
- 2020
- Employees
- 51-100
- Flagship product
- Credo AI Governance Platform (AI Registry, Risk Intelligence, Policy Engine, agent governance)
- Deployment
- SaaS; integrates with 300+ systems (Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, GitHub, MLflow)
- Best for
- Enterprises and public-sector orgs needing centralized AI/agent governance, shadow-AI inventory, and audit-ready compliance mapping to EU AI Act, NIST AI RMF, and ISO 42001
- Funding to date
- $41.3M
- Last round
- $21M growth capital (round type reported, likely Series B extension) · 2024
- Status
- Active
Facts as of .
What does Credo AI do?
Governance rather than guardrails: inventories every AI system you run and maps each one to policy and regulation. It ships as SaaS; integrates with 300+ systems (Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, GitHub, MLflow), and it's built for enterprises and public-sector orgs needing centralized AI/agent governance, shadow-AI inventory, and audit-ready compliance mapping to EU AI Act, NIST AI RMF, and ISO 42001. It's a weaker fit for teams needing runtime attack blocking or technical red teaming; Credo AI governs and maps risk rather than intercepting prompts/responses.
Which OWASP LLM Top 10 risks does Credo AI cover?
Credo AI's strongest verdict is LLM03Supply Chain. The two tables below come from our editorial read of Credo AI's public documentation as of (it's what the docs support, not a hands-on lab test), and this row also sits in the full matrix across all 21 vendors.
| OWASP LLM Risk | What it is | Credo AI coverage | How it's addressed | Source |
|---|---|---|---|---|
| LLM01 Prompt Injection | User or hidden input overrides the model's rules or intended behavior. | Partial | Addressed through policy packs and framework mapping (OWASP/NIST), not runtime enforcement. | https://www.credo.ai/ |
| LLM02 Sensitive Information Disclosure | The model leaks secrets, personal data, or proprietary content in its output. | Partial | Data risk classification and governance controls; no runtime DLP. | https://www.credo.ai/ |
| LLM03 Supply Chain | Compromised models, datasets, plugins, or dependencies add risk before runtime. | Covered | AI Registry catalogs vendors/models with dependency mapping; vendor/third-party AI risk management. | https://www.credo.ai/ |
| LLM04 Data and Model Poisoning | Tampered training or fine-tuning data corrupts how the model behaves. | Not covered | No mention of data/model poisoning detection across Credo AI's documented product surface (AI Registry, Risk Intelligence, Compliance, Runtime Governance, Agentic AI Governance). | https://www.credo.ai/product |
| LLM05 Improper Output Handling | Downstream systems trust model output without checking it, enabling injection or code execution. | Not covered | No output-handling/sanitization capability documented; product is governance/compliance-focused (registry, policy packs, runtime trace evaluation), not output filtering. | https://www.credo.ai/product |
| LLM06 Excessive Agency | An agent holds more permissions, tools, or autonomy than the task needs. | Covered | Agentic risk and control library for tool misuse, scope drift, inter-agent risk; agent sanctioning and runtime governance. | https://www.credo.ai/ |
| LLM07 System Prompt Leakage | The system prompt or the secrets inside it get exposed to users. | Not covered | No system-prompt-leakage protection documented across product pages. | https://www.credo.ai/product |
| LLM08 Vector and Embedding Weaknesses | Flaws in RAG stores let attackers poison, extract, or infer data. | Not covered | No vector/embedding security capability documented. | https://www.credo.ai/product |
| LLM09 Misinformation | The model produces false or fabricated content that users act on. | Partial | Risk Intelligence treats reliability/misinformation as a governed risk category, without hallucination detection. | https://www.credo.ai/ |
| LLM10 Unbounded Consumption | Uncontrolled requests drive cost, denial of service, or model extraction. | Not covered | No consumption/rate-limiting control documented; platform is governance-focused, not a runtime traffic gateway. | https://www.credo.ai/product |
| ATLAS Technique (ID) | Tactic | Credo AI coverage | Notes | Source |
|---|---|---|---|---|
| ML Supply Chain Compromise (AML.T0010) | Resource Development | Partial | Vendor/model registry and dependency mapping surface supply-chain exposure at governance level. | https://www.credo.ai/ |
| LLM Plugin Compromise (AML.T0053) | Execution | Partial | Agentic control library governs tool misuse and scope drift. | https://www.credo.ai/ |
| LLM Prompt Injection (AML.T0051) | Initial Access | Partial | Covered via policy mapping/controls, not runtime interception. | https://www.credo.ai/ |
| LLM Data Leakage (AML.T0057) | Exfiltration | Partial | Data governance and risk classification. | https://www.credo.ai/ |
| External Harms (AML.T0048) | Impact | Partial | Risk assessment and policy enforcement for harmful/non-compliant use. | https://www.credo.ai/ |
Is Credo AI independent, and how is it funded?
Credo AI is an independent company as of . It has raised $41.3M to date, most recently a $21M growth capital (round type reported, likely Series B extension) dated 2024. Lead investors: CrimsoNox Capital, Mozilla Ventures, FPV Ventures.
Credo AI alternatives
Frequently asked questions
What is Credo AI used for?
Credo AI is an AI Governance / Model Risk vendor. Its flagship product is Credo AI Governance Platform (AI Registry, Risk Intelligence, Policy Engine, agent governance). It ships as SaaS; integrates with 300+ systems (Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, GitHub, MLflow), and it's built for enterprises and public-sector orgs needing centralized AI/agent governance, shadow-AI inventory, and audit-ready compliance mapping to EU AI Act, NIST AI RMF, and ISO 42001.
Is Credo AI independent or acquired?
Credo AI is an independent company as of 2026-07-13 and has not been acquired.
How many OWASP LLM Top 10 risks does Credo AI cover?
We score Credo AI as Covered on 2 of the ten OWASP LLM Top 10 (2025) risks, with 3 more Partial, as of 2026-07-13. The table on this page breaks down every risk, including the ones marked Not covered or Unverified.
How is Credo AI deployed?
Credo AI ships as SaaS; integrates with 300+ systems (Snowflake, Databricks, AWS, Azure, ServiceNow, Jira, GitHub, MLflow).
What are the best alternatives to Credo AI?
The closest AI Governance / Model Risk alternatives llmthreat tracks are listed on the category page.