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HiddenLayer AI Security Platform

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HiddenLayer’s AI Security Platform is an enterprise-grade solution that protects predictive, generative, and agentic AI applications across the entire AI lifecycle. The platform combines discovery and inventorying of AI assets…

Independently listed · not pay-to-rankVerified vendor site: hiddenlayer.comListing updated Sep 6, 2026

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PricingNot provided
DeploymentNot specified
SupportNot specified
Compliance
SOC 2
AI/model discovery & inventory Yes
Red teaming & adversarial testing Yes
Guardrails & policy enforcement Yes
Continuous monitoring & drift detection Not stated
Compliance & audit reporting Not stated
Agent & MCP security Yes
Risk assessment & scoring Not stated

HiddenLayer’s AI Security Platform is an enterprise-grade solution that protects predictive, generative, and agentic AI applications across the entire AI lifecycle. The platform combines discovery and inventorying of AI assets with static model analysis, model scanning, and supply-chain verification to detect tampering, backdoors, and other compromise indicators before models reach production. At runtime it provides AIDR-based protection using purpose-built deterministic classifiers that sit outside the model inference path, enabling detection of prompt injection, jailbreaks, data-leakage attempts, and other adversarial inputs without relying on another LLM. The product also supports continuous adversarial validation via red-teaming and attack simulation, policy-driven guardrails to prevent misuse and leakage, and protections for agentic systems (including tool-call inspection and session-level visibility). HiddenLayer generates verifiable AI Bills of Materials and integrates model checks into CI/CD and air-gapped workflows so teams can enforce provenance and governance. Backed by industry research and patented technology, the platform is positioned for regulated and large-scale deployments such as financial services and US federal environments.

Capabilities

AI Discovery
Model Scanning
Supply Chain Security
AI Bill of Materials (AI BOM)
Red Teaming / Attack Simulation
AIDR (deterministic runtime detection)
AI Guardrails (policy-based controls)
Agentic & MCP Protection
Runtime Prompt & Tool-call Inspection
Session-level Visibility
Static Analysis for models
CI/CD and Air-gapped Integration
Provenance Controls

Integrations

The platform integrates with common development and deployment workflows—CI/CD pipelines, model repositories, and DevOps tools—shown to include GitHub and Azure DevOps. It supports ingestion and scanning of models from repositories and registries, can operate in air-gapped environments, and connects to runtime application stacks to inspect prompts, responses, and tool calls for enforcement actions.

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