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SecuredAI vs Private AI: Reversible Protection vs Permanent Anonymization
Private AI excels at permanent de-identification. Data goes in, anonymized data comes out, and the originals are gone. That's the design. SecuredAI's Reveal Technology takes a different approach: protect data in transit, restore it when authorized users need it.
Common Ground
Both platforms take sensitive data detection seriously. Both use ML-powered detection that goes beyond basic regex. Both offer enterprise-grade security features.
Key Differentiators
Reversibility
Secured AI
Reveal Technology restores original values for authorized users. Data is protected in transit but recoverable.
Private AI
Permanent, irreversible de-identification. Once data is processed, originals can be deleted forever.
Fundamental design difference. Choose based on whether you ever need the original data back.
Primary Use Case
Secured AI
Interactive AI assistants where workers need complete, actionable responses.
Private AI
Data pipelines, ML training sets, analytics environments where permanent anonymization is the goal.
Different tools for different problems.
Language Support
Secured AI
English-first with expanding multi-language support.
Private AI
50+ languages. Strong PII detection across global datasets.
Private AI leads significantly in language breadth.
Different Tools for Different Jobs
The right choice depends on your primary use case. Here's how to think about it:
Real-Time AI Assistance
Employees using ChatGPT, DeepSeek, or other AI tools for daily work
Secured AI — Reveal Technology makes responses usable immediately
Users need answers they can act on, not permanently anonymized placeholders
Data Anonymization for ML Training
Preparing datasets for model training while removing PII
Private AI — Strong at permanent, irreversible de-identification
Training data shouldn't be recoverable; permanent anonymization is the goal
Document Processing Pipelines
Batch processing of documents before analysis
Either platform, depending on whether reversal is needed
Evaluate latency requirements and language coverage
Regulated Industry AI Deployment
Healthcare or financial services using AI with compliance requirements
Secured AI — Reveal + security-first architecture
Need to prove data was protected AND provide usable outputs to workers
Feature Comparison
| Capability | Secured AI | Private AI |
|---|---|---|
| ML-powered detection | ||
| Context-preserving masking | partial | |
| Response de-obscuring (Reveal) | ||
| Permanent de-identification | optional | |
| Real-time processing (<100ms) | partial | |
| Multi-language support | growing | 50+ |
| ChatGPT integration | ||
| Claude integration | coming soon | |
| Cloud deployment (AWS) | ||
| End-to-end encryption | ||
| Role-based access controls |
Comparison based on publicly available information as of January 2025. Contact vendors directly for current capabilities.
Which Platform Fits Your Needs?
Choose Secured AI if:
- Interactive AI use: Workers need complete responses they can act on
- Reversible protection: Authorized users need to see original data
- Real-time workflows: Sub-100ms latency matters
Consider Private AI if:
- Permanent anonymization: Delete originals after processing
- Data pipeline use: ML training sets, research datasets
- Multi-language: 50+ languages for global datasets
"We evaluated Private AI for our de-identification needs. Great product for data anonymization. But for our real-time ChatGPT deployment, we needed Secured AI—the Reveal Technology was essential for user adoption."