Hardshell - Securing the Foundation of AI

How it Works

Where does your enterprise AI leak data?

Models memorize sensitive content from training and fine-tuning data, and RAG pipelines can surface documents users were never cleared to access. Select an attack scenario to see how each pathway exposes private enterprise data.

Platform

Next-gen AI security starts at the source

Hardshell gives you visibility into your AI data layer, detects threats before model training, and hardens datasets against data leakage, data poisoning, and synthetic content risks.

Three stacked security layers with digital icons for access, control, and automation

One platform, full coverage

Model-Agnostic Security

Works across your entire AI stack. LLMs, tabular ML, computer vision, NLP. All from the same platform.

Hardshell protects datasets across every modality without requiring changes to your existing infrastructure.

Your AI isn't just chatbots. Your security shouldn't be either.

Cloud-to-location network connection map showing multi-region connectivity

Every format, every source

Multi-Modal Data Coverage

Data comes in many forms. So do threats.

Scan datasets of any modality, including custom data formats.

Dataset Risk Analysis

Scan datasets for poisoning indicators, leakage vulnerabilities, and integrity risks before they reach your models.

Dataset Hardening

Transform vulnerable data into protected assets. Reduce extractable information while preserving model performance.

Circular network with nodes labeled up-to-date, self-heal, and auto-fix

Security that starts at the source

Upstream Threat Protection

Monitor, detect, and auto-remediate threats as new data flows in. Keep your models healthy without manual intervention and identify threats before they impact application performance.

Better data in, better models out.

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