HiddenLayer

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

• 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.