Description
🖼 Tool Name:
HiddenLayer
🔖 Approved Categories:
Governance & ComplianceDevOps, CI/CD & MonitoringTesting & Quality Assurance
✏️ What does this tool offer?
Enterprise AI & Machine Learning Security Platform: HiddenLayer provides a specialized cybersecurity platform built to safeguard AI models, machine learning assets, and datasets across their entire lifecycle.
Model Scanner & AI Bill of Materials (AIBOM): Scans model files (e.g., PyTorch, TensorFlow, Pickle, ONNX) for malware, data poisoning, and supply chain vulnerabilities, generating an auditable inventory of model components.
Machine Learning Detection & Response (MLDR): Provides runtime defenses to continuously monitor AI inputs/outputs, detecting and blocking live threats like prompt injection, adversarial manipulation, and model theft.
Automated AI Red Teaming: Conducts automated security testing and vulnerability assessments against predictive, generative, and agentic AI systems.
AI Security Posture Management (AISPM): Enforces compliance policies, risk assessment, and governance rules across enterprise MLOps pipelines and multi-cloud environments (AWS, Azure, GCP).
⭐ What does it actually offer based on user experience?
Secures AI Infrastructure without Model Retraining: Protects proprietary and third-party models non-intrusively without altering model architecture or underlying training code.
Mitigates AI Supply Chain Risks: Prevents malicious code execution embedded inside open-source machine learning weights before deployment into production.
Protects Intellectual Property & Data: Prevents model inversion, reverse engineering, and sensitive data leakage via real-time inference inspection.
🤖 Does it include automation?
Yes, HiddenLayer automates vulnerability scanning, threat response, and compliance auditing:
Automated Model Scanning & Quarantine: Programmatically parses model artifacts upon commit/download to block compromised weights before production deployment.
Automated Runtime Threat Mitigation: Automatically isolates malicious payloads, blocks prompt injection attacks, and triggers alerts in SOC workflows (e.g., Slack, SIEM).
💰 Pricing Model
Item Details: Enterprise Subscription / Custom Licensing.
General Concept: Priced based on scale, deployment environment, and the number of active AI models secured across enterprise MLOps pipelines.
🆓 Free Access Details
Feature: Guided Demo / Limited Trial Access.
Details: Prospective enterprise clients can request a live product demonstration or sandbox evaluation through their sales team.
Cost: Contact Sales for Pilot/Demo Access.
💳 Access & Subscription Options (Official Standards)
🧭 How to access the tool:
Your AI model security posture management, runtime threat detection, and automated MLOps red-teaming workflows can be launched by visiting.