Hardshell vs Private AI PrivateGPT Headless: Side-by-Side Comparison (2026)

Hardshell

Enterprise security teams defending AI systems against training data poisoning need Hardshell because it's one of the few tools that actually stops attacks at the data layer rather than trying to patch compromised models after the fact. The platform covers all four NIST CSF 2.0 areas tied to data supply chain risk, with particular strength in PR.DS data security and ID.RA risk assessment for AI workloads. Skip this if your organization hasn't yet operationalized AI training at scale or treats model security as an afterthought to deployment hardening; Hardshell assumes you're already thinking about data integrity as a foundational control.

Private AI PrivateGPT Headless

Organizations sending sensitive data to ChatGPT or other LLMs without an on-premises filter should evaluate Private AI PrivateGPT Headless, which detects and strips 50+ PII types before API calls leave your network, then restores them in responses without external data leakage. The on-premises deployment and HIPAA/GDPR/PCI DSS compliance support matter here; you're not trusting a vendor's promise that data won't be retained by OpenAI. Skip this if your use case doesn't involve third-party LLMs or if you need re-identification logic that handles complex, domain-specific entities beyond the standard PII set.