Underscoring commitment to elevating Security for AI standards
HiddenLayer the leading security provider for artificial intelligence (AI) models and assets, proudly announces its partnership with the Common Vulnerabilities and Exposures (CVE) Program as a CVE Numbering Authority (CNA), reinforcing our commitment to enhancing AI system security.
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HiddenLayer joins over 300 organizations across 37 countries, authorized by the CVE Program to assign CVE IDs to vulnerabilities within their specific scopes, enabling the efficient collaboration of multiple parties to address known AI security risks. Each CNA has a specific Scope of responsibility for vulnerability identification and publishing. HiddenLayer is now authorized to assign CVEs to new zero-day vulnerabilities in both third-party software that does not fall under the scope of another CNA, and within their own products. This enables HiddenLayer in its mission to help protect the world’s most valuable technology, Artificial Intelligence.
“Being acknowledged as a CNA underscores HiddenLayer’s dedication and responsibility towards enhancing security for AI,” said Tom Bonner, VP of Research of HiddenLayer. “With the recent proliferation of machine learning and artificial intelligence, it is imperative that organizations have a complete awareness of the risks posed by insecure libraries, applications, and services. By researching and reporting vulnerabilities in critical ML and AI systems, HiddenLayer is underlining our commitment to help advance the security posture for the entire industry.”
The CVE Program, sponsored by the Cybersecurity and Infrastructure Security Agency (CISA) of the U.S. Department of Homeland Security (DHS), aims to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. The CVE Program is community-driven and is steered by an international board of industry, academic, and government representatives.
HiddenLayer offers a comprehensive suite of products through its AISec Platform to safeguard AI models from adversarial attacks, vulnerabilities, and malicious code injections. In addition, HiddenLayer collaborates with clients, providing consulting services leveraging deep domain expertise in cybersecurity, artificial intelligence, reverse engineering, and threat research.
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HiddenLayer’s Adversarial Machine Learning (AdvML) experts empower cybersecurity teams and data scientists with knowledge, insight, and tools to integrate security into the MLOps Pipeline, understand the latest adversarial AI tactics and countermeasures, map the current AI threat landscape, develop high-impact attack scenarios, validate AI environments, and implement operational security controls that satisfy both data science and security teams’ needs.
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