HiddenLayer vs Patronus AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/hiddenlayer-vs-patronus-aiHiddenLayer
The most comprehensive security platform for AI
HiddenLayer is an Austin, Texas-based AI security company founded in March 2022 by experienced cybersecurity and machine learning professionals. The company provides a comprehensive AI Security Platform covering AI Discovery (automated inventory), AI Supply Chain Security (model scanning for embedded threats), AI Attack Simulation (red teaming), and AI Runtime Security (guardrails and active threat response). The platform is designed to be non-invasive — protecting models without requiring access to raw training data — and integrates with CI/CD, MLOps, data pipelines, and SIEM/SOAR tools. HiddenLayer is recognized by Gartner as a Cool Vendor for AI Application Security. The company raised $50M in Series A in September 2023, the largest Series A for an AI-focused cybersecurity company at that time, led by M12 (Microsoft's Venture Fund) and Moore Strategic Ventures. Customers include enterprises in financial services, US federal government, and technology. Named endorsers include the CISO of the NFL and the former CISO of AIG.
Patronus AI
Industry-first automated evaluation and security platform for LLMs.
Patronus AI provides an automated platform for evaluating and securing large language models (LLMs), enabling enterprise teams to score performance, generate adversarial test cases, benchmark models, detect hallucinations, PII leakage, and other failure modes across 50+ categories. Key differentiators include proprietary evaluator models like Lynx for hallucination detection outperforming GPT-4o, domain-specific benchmarks such as FinanceBench and EnterprisePII, and agent tracing for 15 error modes. Typical buyers are AI engineers and enterprises like Etsy, Pearson, AngelList in saas-technology and financial-services deploying production AI systems. Raised $20M total funding, with $17M Series A in 2024.
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: None documented in common.
- Only HiddenLayer covers: EU AI Act, ISO/IEC 42001, NIST AI RMF
- Shared capabilities: 4 of 11 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | HiddenLayer | Patronus AI |
|---|---|---|
| Founded | 2022 | 2023 |
| Headquarters | Austin, United States | San Francisco, US |
| Employees | 51-200 | 51-200 |
| Funding | Series A, $50M raised (September 2023), led by M12 (Microsoft's Venture Fund) and Moore Strategic Ventures, with participation from Booz Allen Ventures, IBM Ventures, Capital One Ventures, and Ten Eleven Ventures. Prior seed of $6M (April 2023). Total raised: $56M. | $20M total (Series A, May 2024) |
| Pricing | Enterprise-only, contact sales for pricing. No public pricing listed on website. | Contact for pricing |
| Website | Visit site | Visit site |
Framework coverage
| Framework | HiddenLayer | Patronus AI |
|---|---|---|
| EU AI Act | Partial | — |
| ISO/IEC 42001 | Partial | — |
| NIST AI RMF | Partial | — |
Capabilities
| Capability | HiddenLayer | Patronus AI |
|---|---|---|
| AI Model Inventory | ✓ | — |
| Agent Tracing | — | ✓ |
| Audit Evidence Collection | ✓ | — |
| Bias & Fairness Testing | — | ✓ |
| LLM Evaluation | — | ✓ |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | ✓ | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | — |
| Risk Assessment Workflow | ✓ | ✓ |
| Third-Party AI Vendor Risk | ✓ | — |
Industries served
HiddenLayer
- Financial Services
- Government & Public Sector
- Defense & National Security
- SaaS & Technology
Patronus AI
- Financial Services
- SaaS & Technology
Integrations
HiddenLayer
- AWS SageMaker
- Azure ML
- Databricks
- GitHub
- OpenAI API
Patronus AI
- Hugging Face
- NVIDIA
- MongoDB
- Databricks
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.