Advancing the Science of AI Security
The HiddenLayer AI Security Research team uncovers vulnerabilities, develops defenses, and shapes global standards to ensure AI remains secure, trustworthy, and resilient.



Turning Discovery Into Defense
Our mission is to identify and neutralize emerging AI threats before they impact the world. The HiddenLayer AI Security Research team investigates adversarial techniques, supply chain compromises, and agentic AI risks, transforming findings into actionable security advancements that power the HiddenLayer AI Security Platform and inform global policy.
Our AI Security Research Team
HiddenLayer’s research team combines offensive security experience, academic rigor, and a deep understanding of machine learning systems.

Kenneth Yeung
Senior AI Security Researcher

Conor McCauley
Adversarial Machine Learning Researcher

Jim Simpson
Principal Intel Analyst

Jason Martin
Director, Adversarial Research

Andrew Davis
Chief Data Scientist

Marta Janus
Principal Security Researcher
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Eoin Wickens
Director of Threat Intelligence

Kieran Evans
Principal Security Researcher

Ryan Tracey
Principal Security Researcher
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Kasimir Schulz
Director, Security Research
Our Impact by the Numbers
Quantifying the reach and influence of HiddenLayer’s AI Security Research.
Reduction in exposure to AI exploits
Disclosed through our security research
Issued patents
In the News
HiddenLayer’s research is shaping global conversations about AI security and trust.

HiddenLayer Selected as Awardee on $151B Missile Defense Agency SHIELD IDIQ Supporting the Golden Dome Initiative
Underpinning HiddenLayer’s unique solution for the DoD and USIC is HiddenLayer’s Airgapped AI Security Platform, the first solution designed to protect AI models and development processes in fully classified, disconnected environments. Deployed locally within customer-controlled environments, the platform supports strict US Federal security requirements while delivering enterprise-ready detection, scanning, and response capabilities essential for national security missions.

HiddenLayer Announces AWS GenAI Integrations, AI Attack Simulation Launch, and Platform Enhancements to Secure Bedrock and AgentCore Deployments
As organizations rapidly adopt generative AI, they face increasing risks of prompt injection, data leakage, and model misuse. HiddenLayer’s security technology, built on AWS, helps enterprises address these risks while maintaining speed and innovation.

HiddenLayer Joins Databricks’ Data Intelligence Platform for Cybersecurity
On September 30, Databricks officially launched its <a href="https://www.databricks.com/blog/transforming-cybersecurity-data-intelligence?utm_source=linkedin&utm_medium=organic-social">Data Intelligence Platform for Cybersecurity</a>, marking a significant step in unifying data, AI, and security under one roof. At HiddenLayer, we’re proud to be part of this new data intelligence platform, as it represents a significant milestone in the industry's direction.
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Explore our glossary to get clear, practical definitions of the terms shaping AI security, governance, and risk management.

