Hardshell

Unclaimed

Securing the foundation of AI by protecting data layers from threats before model training.

Data Quality Vulnerability Scanning Security Monitoring

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TL;DR - Hardshell

Secures AI data layers against leakage, poisoning, and synthetic content.
Provides model-agnostic security across all AI modalities and data types.
Offers upstream threat protection with automated detection and remediation.

Pricing: Paid only

Best for: Enterprises & pros

Pros & Cons

Pros

Protects against critical AI-specific threats like data poisoning and leakage.
Works across diverse AI models and data types without infrastructure changes.
Automates threat detection and remediation, reducing manual intervention.
Founded by cybersecurity and AI experts with DOD experience.

Cons

Specific pricing details are not publicly available.
No free trial or demo information is provided on the website.

Key Features

AI Data Layer VisibilityPre-training Threat DetectionDataset HardeningModel-Agnostic SecurityMulti-Modal Data CoverageDataset Risk AnalysisUpstream Threat ProtectionAutomated Threat Remediation

Pricing

Paid

Hardshell offers paid plans. Visit their website for current pricing details.

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What is Hardshell?

Editorial review

Hardshell provides next-generation AI security by offering visibility into the AI data layer, detecting threats before model training, and hardening datasets against various risks. It is designed for organizations leveraging AI across diverse applications, from large language models (LLMs) to computer vision and natural language processing (NLP). The platform ensures full coverage across an entire AI stack, protecting datasets regardless of modality or custom formats without requiring changes to existing infrastructure. It focuses on upstream threat protection, continuously monitoring, detecting, and automatically remediating threats as new data flows in, ensuring healthier models and preventing performance impacts.

LCLouis CorneloupUpdated May 18, 2026 · how we evaluateSourcehardshell.ai ↗

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Hardshell FAQ

What types of AI models does Hardshell secure?

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.

How does Hardshell address data leakage and poisoning?

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.

Can Hardshell handle custom data formats?

Yes, Hardshell offers multi-modal data coverage, allowing it to scan datasets of any modality, including custom data formats, to detect threats.

What is 'Upstream Threat Protection'?

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.

Who founded Hardshell and what is their background?

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