Credo AI vs Protect AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/credo-ai-vs-protect-aiCredo AI
Context-driven AI governance for regulated enterprises.
Credo AI is an AI governance platform founded in 2020 and headquartered in San Francisco. The platform helps enterprises operationalize AI governance through a centralized model registry, guided impact assessments, policy packs mapped to regulations like the EU AI Act and NIST AI RMF, and evidence collection for audit. Credo AI has been cited as an NIST AI RMF contributor and has raised approximately $41.3M total, with a $21M round in July 2024 at a reported $101M post-money valuation.
Protect AI
The Platform for AI Security
Protect AI was a Seattle-based MLSecOps company founded in 2022 by Ian Swanson, Daryan Dehghanpisheh, and Badar Ahmed that built a comprehensive AI and ML security platform. The platform comprised three main products — Guardian (model scanning and supply-chain security), Recon (AI red teaming), and Layer (runtime monitoring) — operating on a unified platform. The company was backed by 17,000+ security researchers via its huntr community and partnered with Hugging Face on threat research. Protect AI was acquired by Palo Alto Networks on July 22, 2025 and its technology has been integrated into Prisma AIRS (AI Runtime Security), Palo Alto's comprehensive AI security platform. Prior to acquisition the company had raised $108.5M total ($14M seed in December 2022, $35M Series A in July 2023, $60M Series B in August 2024), all led by Evolution Equity Partners.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: NIST AI RMF
- Only Credo AI covers: Colorado AI Act, EU AI Act, ISO/IEC 42001, NYC LL 144
- Shared capabilities: 5 of 11 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Credo AI | Protect AI |
|---|---|---|
| Founded | 2020 | 2022 |
| Headquarters | San Francisco, United States | Seattle, United States |
| Employees | 51-200 | 51-200 |
| Funding | $41.3M total (Series B, July 2024) | Series B, $108.5M total raised ($14M seed Dec 2022, $35M Series A Jul 2023, $60M Series B Aug 2024) led by Evolution Equity Partners. Acquired by Palo Alto Networks, completed July 22, 2025. |
| Pricing | Enterprise-only; typical engagements start in the mid-five figures annually. | Now integrated into Palo Alto Networks Prisma AIRS. Original standalone Protect AI pricing was enterprise-only, contact sales. Current pricing through Palo Alto Networks. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Credo AI | Protect AI |
|---|---|---|
| Colorado AI Act | Full | — |
| EU AI Act | Full | — |
| ISO/IEC 42001 | Full | — |
| NIST AI RMF | Full | Partial |
| NYC LL 144 | Full | — |
Capabilities
| Capability | Credo AI | Protect AI |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | — |
| Bias & Fairness Testing | ✓ | — |
| Explainability | ✓ | — |
| LLM Guardrails & Content Filtering | — | ✓ |
| LLM Red Teaming | ✓ | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Regulatory Intelligence | ✓ | — |
| Risk Assessment Workflow | ✓ | ✓ |
| Third-Party AI Vendor Risk | ✓ | — |
Industries served
Credo AI
- Financial Services
- Healthcare
- Insurance
- Government & Public Sector
- Employment & HR
- Education
- Defense & National Security
Protect AI
- Defense & National Security
- Healthcare
- Government & Public Sector
Integrations
Credo AI
- AWS SageMaker
- Azure ML
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- Slack
- GitHub
Protect AI
- AWS SageMaker
- Databricks
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.