HiddenLayer
by HiddenLayer, Inc.
Total AI Security
HiddenLayer is an enterprise AI security company whose AISec Platform protects machine learning models and AI applications across their lifecycle, from supply-chain scanning to runtime detection and adversarial red teaming.
HiddenLayer, founded in 2022 and headquartered in Austin, Texas, provides security purpose-built for AI and machine learning systems. Its AISec Platform spans four core modules: AI Discovery (visibility into AI assets to eliminate shadow AI), AI Supply Chain Security (scanning models for malware, vulnerabilities, and backdoors before deployment), AI Runtime Security (detecting and responding to adversarial attacks in production), and AI Attack Simulation (continuous automated red teaming). The platform is model-agnostic and agentless, deploying without requiring access to raw training data, model weights, or prompts, and adds AI guardrails plus protection for agentic and MCP-based systems. HiddenLayer raised a $50M Series A in 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.
At a Glance
- Category
- Governance & Security
- Pricing
- Enterprise, Custom pricing
- Target Market
- Enterprise
- Founded
- 2022
- Headquarters
- Austin, Texas, USA
Key Features
- ✓AI Discovery
Provides visibility into AI models and assets across enterprise environments to identify and eliminate shadow AI.
- ✓Model Scanner (AI Supply Chain Security)
Analyzes models for malware, vulnerabilities, backdoors, and unknown components before they reach production.
- ✓AI Runtime Security (Detection & Response)
Detects and responds to adversarial AI attacks in production without impacting model performance.
- ✓AI Attack Simulation (Automated Red Teaming)
Continuously simulates real-world AI attacks to uncover weaknesses and strengthen resilience early.
- ✓AI Guardrails
Enforces safe, compliant, and policy-aligned AI behavior across applications, models, and business units.
- ✓Agentic & MCP Security
Protects autonomous agents and MCP-based systems from prompt injection, unsafe tool use, and harmful autonomous actions.
Capabilities
Use Cases
- •Securing the AI/ML supply chain
Validate model integrity and scan for malware, backdoors, and vulnerabilities before deploying third-party or internal models.
- •Runtime adversarial attack defense
Monitor deployed AI systems and detect and respond to adversarial and prompt-based attacks in production.
- •Red teaming generative AI applications
Continuously stress-test AI and LLM systems against evolving attack techniques to find weaknesses proactively.
- •Discovering and governing shadow AI
Inventory AI assets across the enterprise to reduce risk from unmanaged or unknown models.
Ideal For
Best For
- ✓Enterprises deploying ML and generative AI models in production
- ✓Security teams securing the AI/ML supply chain
- ✓MLOps and AI teams needing model scanning and adversarial red teaming
Not Ideal For
- ✗Individual developers or small teams seeking free or low-cost tooling
Integrations
Deployment
Pricing
HiddenLayer does not publish public pricing; the AISec Platform is sold via enterprise sales (demo/contact-sales) and is also available through the AWS and Azure marketplaces.
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