Overview
HiddenLayer offers a security platform designed to protect AI and machine learning models from various threats, including inference, bypass, extraction attacks, and model theft. The solution provides real-time awareness of a model's health and attack surface without requiring access to raw data or algorithms, making it ideal for enterprises integrating AI into their products.
Key Features:
- Real-time model health and attack surface monitoring
- Protection against inference, bypass, extraction attacks, and model theft
- Integration with widely recognized security frameworks like ATLAS and NIST
Use Cases:
- Securing AI models in enterprise environments where trust is critical
- Enhancing security for AI-driven systems across diverse environments
- Supporting open collaboration and innovation by scanning open models for threats
Benefits:
- Enables enterprises to confidently scale AI initiatives without sacrificing security
- Provides a competitive edge in industries where trust and innovation are key
- Reduces the risk of compromised models through enhanced risk detection and integration into CI/CD pipelines
Capabilities
- Automates AI Red Teaming processes for proactive security assessments.
- Implements AI Detection & Response (AIDR) to identify and mitigate threats targeting AI assets.
- Conducts Security Scans to discover and assess the security posture of AI models.
- Generates Automated Reports to validate security across enterprise AI models.
- Employs Model Protection techniques to prevent reverse engineering of proprietary AI models.
- Applies Attack Mitigation strategies to secure algorithms against inference and poisoning attacks.
- Enforces Data Security measures to prevent exposure of sensitive training data.
- Provides Real-time Monitoring of AI model health and attack surface.
- Utilizes the MITRE ATLAS framework for standardized threat analysis and reporting.
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