Credo AI vs Prompt Security
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/credo-ai-vs-prompt-securityCredo 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.
Prompt Security
Prompt Security is the AI security company helping you manage GenAI risks.
Prompt Security is a Tel Aviv-based AI security company founded in August 2023 by Itamar Golan (CEO) and Lior Drihem (CTO), both alumni of Israel's elite Unit 8200 with prior experience at Check Point and Orca Security. The company provides an enterprise platform for securing all generative AI interactions — covering employee AI tool usage (shadow AI discovery, data protection), homegrown AI applications (prompt injection defense, output filtering), AI code assistants, and agentic AI security including MCP gateway protection. Prompt Security is a core contributor to the OWASP Top 10 for LLM Applications. The company raised $23M prior to its acquisition by SentinelOne, which was completed on September 5, 2025. Prompt Security continues to operate as a standalone platform and product brand within SentinelOne's Singularity platform. CRN named it a 2025 Stellar Startup in Security.
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: EU AI Act, ISO/IEC 42001, NIST AI RMF
- Only Credo AI covers: Colorado AI Act, NYC LL 144
- Shared capabilities: 9 of 11 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Credo AI | Prompt Security |
|---|---|---|
| Founded | 2020 | 2023 |
| Headquarters | San Francisco, United States | Tel Aviv, Israel |
| Employees | 51-200 | 11-50 |
| Funding | $41.3M total (Series B, July 2024) | Series A, $23M total raised ($5M seed 2023, $18M Series A Nov 2024 led by Jump Capital). Acquired by SentinelOne, completed September 5, 2025 for approximately $180–$250M in cash and stock. |
| Pricing | Enterprise-only; typical engagements start in the mid-five figures annually. | Now part of SentinelOne Singularity Platform. Continues as a standalone product. Enterprise pricing only; contact sales or SentinelOne. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Credo AI | Prompt Security |
|---|---|---|
| Colorado AI Act | Full | — |
| EU AI Act | Full | Full |
| ISO/IEC 42001 | Full | Full |
| NIST AI RMF | Full | Partial |
| NYC LL 144 | Full | — |
Capabilities
| Capability | Credo AI | Prompt Security |
|---|---|---|
| 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
Prompt Security
- Financial Services
- Healthcare
- Insurance
- Employment & HR
- Education
- SaaS & Technology
- Retail & E-commerce
Integrations
Credo AI
- AWS SageMaker
- Azure ML
- Databricks
- Snowflake
- MLflow
- Jira
- ServiceNow
- Slack
- GitHub
Prompt Security
- Okta
- Slack
- OpenAI API
- GitHub
- Azure Entra ID
- Jira
- Anthropic API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.