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HiddenLayer

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Secures AI models from threats like inference and theft.

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Agents Security AI Detection

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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