
Securing the foundation of AI by protecting data layers from threats before model training.
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Hardshell provides model-agnostic security, protecting various AI models including Large Language Models (LLMs), tabular machine learning, computer vision, and Natural Language Processing (NLP) models.
Hardshell detects poisoning indicators and leakage vulnerabilities through dataset risk analysis before data reaches models. It also hardens datasets to reduce extractable information while preserving model performance.
Yes, Hardshell offers multi-modal data coverage, allowing it to scan datasets of any modality, including custom data formats, to detect threats.
Upstream Threat Protection refers to Hardshell's ability to monitor, detect, and automatically remediate threats as new data flows into the system, preventing them from impacting models and application performance.
Hardshell was founded by Hunter Moore and Andrew Schoka, former DOD cybersecurity and AI experts. Hunter holds a PhD in Systems Engineering with a focus on AI Security, and Andrew is a former U.S. Army Cyber Officer with an MS in Cybersecurity.
Source: hardshell.ai