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AI security vendor

HiddenLayer

Commercial parent organization

HiddenLayer provides an AI security platform organized around discovery, supply-chain security, runtime security, and attack simulation.

The platform also presents AI Guardrails and Agentic and MCP Security as documented security use cases.

Official website

7

Offerings

7

Reviewed claims

8

Capabilities

Domains

Model and ValidationPosture and RiskRuntime ProtectionSupply Chain and Integrity

Actions

AUDITPOSTUREDETECTPREVENT

Offerings

Open an offering for reviewed behavior and evidence

HiddenLayer ยท platform

HiddenLayer AI Security Platform

AI DiscoveryAI Supply Chain SecurityAI Runtime SecurityAI Attack SimulationAI GuardrailsAgentic and MCP Security
7 claims+

AI security platform with discovery, supply-chain security, runtime security, and attack-simulation modules.

Official source
AI Asset DiscoveryAI Posture Management
AUDITPOSTURE

AI Discovery scans cloud accounts, repositories, endpoints, and pipelines to detect AI models and associated agents, and associates assets with ownership, sensitivity, and risk metadata.

Source
Model and Tooling Supply Chain RiskAI-BOM and SBOM Visibility
DETECT

AI Supply Chain Security analyzes model architectures, layers, weights, and artifacts for tampering or anomalies and tracks model lineage, origin, and licensing.

Source
Model Security Testing
AUDIT

AI Attack Simulation tests AI systems for jailbreaks, prompt injection, data leakage, and unsafe agent tool use through automated adversarial simulation.

Source
Runtime Threat Detection and Response
DETECT

AI Runtime Security detects and investigates prompt injection, unsafe agent behavior, sensitive data exposure, malicious tool use, and other runtime AI threats.

Source
Prompt and Response GuardrailsAgent Runtime Governance
PREVENT

AI Runtime Security can detect, block, or redact unsafe actions and sensitive information according to policy and platform capabilities.

Source
Prompt and Response Guardrails
PREVENT

HiddenLayer presents AI Guardrails as a use case for enforcing safe, compliant, and policy-aligned AI behavior across applications, models, and business units.

Source
Agent Runtime Governance
PREVENT

HiddenLayer presents Agentic and MCP Security as a use case for protecting autonomous agents and MCP-based systems from prompt injection, unsafe tool use, and harmful autonomous actions.

Source