tools
HiddenLayer AISec Platform
HiddenLayer secures AI models, agents, applications, and workflows across discovery, deployment, testing, and runtime.
HiddenLayer is an AI security platform for enterprises and government organizations. It inventories AI assets, scans models and their supply chains, simulates attacks, and monitors AI applications and agents at runtime.
Security, AI, development, and compliance teams use it to detect prompt injection, data leakage, unsafe tool use, model tampering, and other AI-specific risks. The site directs users to request a demo; pricing is not published on an official pricing page.
Features
- Discover AI models, agents, APIs, and workflows across cloud accounts, repositories, endpoints, and pipelines
- Scan model architectures, layers, weights, artifacts, dependencies, and lineage for security risks
- Map AI assets to owners, business units, sensitivity levels, risk, and compliance frameworks
- Continuously red-team AI systems against adversarial attacks and unsafe behaviors
- Monitor prompts, responses, agent actions, tools, and MCP workflows at runtime
- Detect, block, or redact prompt attacks, sensitive data exposure, and unsafe actions
- Integrate with CI/CD, MLOps, data platforms, SIEM, SOAR, API gateways, and agent frameworks
- API, gateway, SDK, and lightweight on-device deployment options
Use cases
- Inventory shadow AI across cloud accounts, repositories, endpoints, and business units
- Scan third-party and proprietary models before production deployment
- Red-team AI applications and agents to identify exploitable weaknesses
- Enforce runtime controls against prompt injection, data leakage, and unsafe tool use
- Monitor AI coding agents that read files, run commands, and modify repositories
- Support AI governance, audit, compliance, and security operations workflows