Hardshell provides a model‑agnostic platform that scans and hardens AI training datasets across all modalities—LLMs, tabular, vision, NLP, and custom formats—before they enter any training or inference pipeline. By identifying extractable information and applying transformations that reduce leakage risk while preserving model performance, it offers upstream threat protection that integrates via APIs with existing data pipelines, delivering comprehensive risk analysis and uniform security policies for enterprise AI workloads.
Funding
Funding not disclosed
Founders
Product
Problem
AI models are vulnerable to data leakage and extraction attacks because training datasets often contain sensitive or proprietary information that is not protected before model ingestion. Existing security solutions focus on downstream defenses and require extensive changes to infrastructure, leaving the source data exposed.
Solution
Hardshell offers a model‑agnostic platform that secures AI datasets at the source, regardless of modality—LLMs, tabular data, computer vision, NLP, or custom formats. The system scans raw data, identifies extractable information, and hardens the datasets by applying transformations that reduce leakage risk while maintaining model performance. Integration is achieved through APIs and connectors that work with existing data pipelines, providing upstream threat protection without requiring architectural changes. Security policies are applied uniformly across the entire AI stack, enabling organizations to protect sensitive data before it enters any training or inference workflow.
Target Audience
Primary customers are enterprises and AI development teams that train proprietary models on sensitive datasets, including sectors such as finance, healthcare, and technology.
Features
- Model‑agnostic scanning that supports LLMs, tabular, vision, NLP, and custom data formats
- Automated dataset hardening that removes or obfuscates extractable information while preserving downstream model accuracy
- Seamless integration via APIs and connectors compatible with existing data ingestion and storage infrastructure
- Comprehensive risk analysis dashboards that highlight vulnerable data elements and quantify protection impact
- Upstream threat protection that secures data before it enters any AI training or inference pipeline