Castlepoint Cyber Security vs Protegrity Data Discovery: Side-by-Side Comparison (2026)

Castlepoint Cyber Security

Mid-market and enterprise teams drowning in unclassified data across email, cloud storage, and file shares need Castlepoint Cyber Security to actually know what they're protecting. The platform's content-based classification engine handles mixed formats and automatically detects PII, PCI, PHI, and regulated data like CUI without manual tagging, then maps legislative penalties to inform retention policy. Skip this if your data lives almost entirely in structured databases or you're looking for a DLP tool with blocking capabilities; Castlepoint excels at discovery and labeling, not prevention.

Protegrity Data Discovery

Mid-market and enterprise teams protecting generative AI applications will get the most from Protegrity Data Discovery, specifically for preventing PII leakage into LLM prompts before they reach foundation models. The dual-model architecture using RoBERTa and Presidio catches context-dependent sensitive data that single classifiers miss, and real-time chatbot redaction means you're blocking exposures at inference time, not just in batch scans. Skip this if you need a data governance platform that handles retention policies and access controls; Protegrity stops at classification and hands off the enforcement layer to your existing tools.