Drata vs HiddenLayer
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/drata-vs-hiddenlayerDrata
Modern GRC, Compliance & Trust Automation
Drata is a compliance automation platform that continuously monitors security controls, automates evidence collection, and supports multiple frameworks including SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, and ISO 42001 for AI management systems. It differentiates through AI-powered features like policy-to-control mapping, questionnaire automation, and risk workflows, targeting enterprises needing scalable GRC to accelerate audits, manage vendor risks, and demonstrate trust. Typical buyers are security and compliance teams in SaaS, tech, and regulated sectors; recent developments include opening a San Francisco HQ and SafeBase acquisition for enhanced trust centers.
HiddenLayer
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.
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: ISO/IEC 42001, NIST AI RMF
- Only Drata covers: GDPR Art. 22, HIPAA, SOC 2
- Only HiddenLayer covers: EU AI Act
- Shared capabilities: 5 of 9 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Drata | HiddenLayer |
|---|---|---|
| Founded | 2020 | 2022 |
| Headquarters | San Francisco, US | Austin, United States |
| Employees | 501-1000 | 51-200 |
| Funding | $328M total (Series C, 2022) | 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. |
| Pricing | Contact for pricing | Enterprise-only, contact sales for pricing. No public pricing listed on website. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Drata | HiddenLayer |
|---|---|---|
| EU AI Act | — | Partial |
| GDPR Art. 22 | Partial | — |
| HIPAA | Comprehensive | — |
| ISO/IEC 42001 | Comprehensive | Partial |
| NIST AI RMF | Comprehensive | Partial |
| SOC 2 | Comprehensive | — |
Capabilities
| Capability | Drata | HiddenLayer |
|---|---|---|
| AI Model Inventory | — | ✓ |
| Audit Evidence Collection | ✓ | ✓ |
| LLM Guardrails & Content Filtering | ✓ | ✓ |
| LLM Red Teaming | — | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Risk Assessment Workflow | ✓ | ✓ |
| Third-Party AI Risk Management | ✓ | — |
| Third-Party AI Vendor Risk | — | ✓ |
Industries served
Drata
- SaaS & Technology
- Financial Services
- Healthcare
- Government & Public Sector
HiddenLayer
- Financial Services
- Government & Public Sector
- Defense & National Security
- SaaS & Technology
Integrations
Drata
- Okta
- Slack
- GitHub
- AWS SageMaker
- Google Vertex AI
- Microsoft Entra ID
- Rippling
HiddenLayer
- AWS SageMaker
- Azure ML
- Databricks
- GitHub
- OpenAI API
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.