Cisco Talos AI
Shares tags: trust, security & compliance, safety & abuse, malware screening
AI Tool
Protect Your AI Models with HiddenLayer Malware Monitor
Detect adversarial model payloads effortlessly and ensure security across your AI supply chains.
Real-time monitoring of prompt injection attempts and misuse patterns.Comprehensive threat mapping aligned with industry standards.Enhanced automated defenses for large-scale, multi-cloud AI environments.
Tags
Trust, Security & ComplianceSafety & AbuseMalware Screening
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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.
- Part of a comprehensive AISec Platform for enhanced AI security.
- Focuses on protecting against model theft and supply chain attacks.
- No 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:
- Automated, runtime telemetry for ongoing monitoring.
- Red teaming dashboards for prompt threat detection.
- SAML 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.
- Mapping threats to OWASP, ATLAS, and NIST standards.
- Supporting AI governance leaders with enhanced context.
- Prioritized 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.