AI Tool

Protect Your AI Models with HiddenLayer Malware Monitor

Detect adversarial model payloads effortlessly and ensure security across your AI supply chains.

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Trust, Security & ComplianceSafety & AbuseMalware Screening
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1Real-time monitoring of prompt injection attempts and misuse patterns.
2Comprehensive threat mapping aligned with industry standards.
3Enhanced automated defenses for large-scale, multi-cloud AI environments.

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overview

Overview of HiddenLayer Malware Monitor

HiddenLayer Malware Monitor is designed to safeguard enterprise AI models against malware and manipulative attacks. With its integration into the AISec Platform 2.0, it offers advanced capabilities for model tracking and threat detection.

  • 1Part of a comprehensive AISec Platform for enhanced AI security.
  • 2Focuses on protecting against model theft and supply chain attacks.
  • 3No access to sensitive data or algorithms required.

features

Key Features

Our Malware Monitor offers a suite of features tailored for enterprise security teams, allowing for seamless integration and real-time insights. Here are some standout features:

  • 1Automated, runtime telemetry for ongoing monitoring.
  • 2Red teaming dashboards for prompt threat detection.
  • 3SAML SSO and RBAC for easy user management.

insights

Latest Insights and Updates

Stay informed on the evolving landscape of AI security via our continuous updates. Our recent enhancements include Model Genealogy and AI Bill of Materials (AIBOM) for better compliance alignment.

  • 1Mapping threats to OWASP, ATLAS, and NIST standards.
  • 2Supporting AI governance leaders with enhanced context.
  • 3Prioritized threat response for increased effectiveness.

Frequently Asked Questions

+Who is the HiddenLayer Malware Monitor designed for?

It is tailored for enterprise security teams and AI governance leaders looking to establish automated and scalable defenses for their AI supply chains.

+How does the Malware Monitor ensure low overhead?

The solution operates with ultra-low latency, allowing it to safeguard AI models without adversely affecting performance.

+What types of threats can the monitor detect?

It is capable of identifying various adversarial model payloads, including model tampering, supply chain attacks, and prompt injection attempts.