HiddenLayer
HiddenLayer, Inc.
The most comprehensive security platform for AI
Last verified April 22, 2026About HiddenLayer
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.
Framework coverage
Coverage claims documented by HiddenLayer on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
Global · voluntary
Capabilities
Features HiddenLayer markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
LLM Guardrails & Content Filtering
Runtime guardrails that block or redact unsafe prompts and responses in production LLM applications.
Third-Party AI Vendor Risk
Intake and assessment of AI features in third-party SaaS used by the organization.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Industries served
Integrations
Documented by HiddenLayer in public product materials.
- AWS SageMaker
- Azure ML
- Databricks
- GitHub
- OpenAI API
Pricing
Enterprise-only, contact sales for pricing. No public pricing listed on website.
Sources
Keep reading
See an error or outdated detail?
Profiles carry a last-verified date. If something is out of date or wrong, send a correction and we will review it.
Work at HiddenLayer?
Claim this listing to propose edits to the tagline, description, pricing notes, and headquarters details. Every change is still reviewed by our editorial team.