What to Evaluate in an AI Privacy Solution
Before comparing vendors, align on what matters. These are the capabilities that separate real solutions from checkbox features.
Detection Accuracy
Can the tool detect PII/PHI beyond simple patterns? Does it catch context-dependent sensitive data that regex misses?
Secured AI:
ML-powered detection trained on healthcare, finance, and legal datasets. 40+ data types.
Usability After Masking
Do masked prompts still produce useful AI responses, or does the AI return gibberish?
Secured AI:
Context-preserving masking maintains semantic meaning for accurate LLM responses.
Response De-Obscuring
Can masked values be intelligently restored in AI outputs? Or is manual reconstruction required?
Secured AI:
Reveal Technology automatically restores original values in responses—unique to Secured AI.
Integration Breadth
Does it work with your LLMs, collaboration tools, and existing security stack?
Secured AI:
40+ integrations across AI tools, collaboration, email, storage, and developer tools.
Security Architecture
Does it provide access controls, encryption, and documentation for security governance?
Secured AI:
Security-first architecture with end-to-end encryption, zero-knowledge vault, and role-based access controls.
Deployment Speed
How quickly can you get from purchase to protection?
Secured AI:
Most integrations deploy in under 30 minutes. No agents to install for cloud-based tools.
Compare Secured AI to Specific Alternatives
Click any comparison for a detailed breakdown.
Secured AI vs Strac
Data discovery and DLP platform
See how Secured AI's Reveal Technology and integration breadth compare.
View comparison →
Secured AI vs Nightfall AI
Cloud DLP for sensitive data
Compare detection accuracy, deployment options, and pricing models.
View comparison →
Secured AI vs Lakera Guard
LLM security and prompt protection
Evaluate LLM-specific protection capabilities and compliance features.
View comparison →
Secured AI vs Hathr.AI
AI privacy and data protection
Compare masking approaches and enterprise features.
View comparison →
Secured AI vs Private AI
Privacy-preserving AI platform
Assess de-identification methods and multi-language support.
View comparison →
Quick Comparison
ML-powered PII detection
Context-preserving masking
Response de-obscuring (Reveal)
Multi-LLM support
Encryption at rest & in transit
Sub-100ms latency
| Capability | Secured AI | Strac | Nightfall AI | Lakera Guard | Hathr.AI | Private AI |
|---|---|---|---|---|---|---|
| ML-powered PII detection | ||||||
| Context-preserving masking | ||||||
| Response de-obscuring (Reveal) | ||||||
| Multi-LLM support | ||||||
| Encryption at rest & in transit | ||||||
| Sub-100ms latency |
Comparison based on publicly available information as of January 2025. Features and capabilities may have changed. Contact vendors directly for the most current information.
Free Resource
The Complete DLP Buyer's Guide for 2025
Not ready to compare vendors yet? Start with our comprehensive guide to evaluating data loss prevention solutions for AI workflows. Includes evaluation criteria, common pitfalls, and a vendor selection checklist.
DLP Buyer's Guide 2025
25 pages • PDF
Chapter 1: The AI Data Protection Landscape
Chapter 2: Evaluation Criteria
Chapter 3: Vendor Comparison Framework
Chapter 4: Implementation Best Practices
Appendix: RFP Template