Sources and References
Sources and References
This page provides context for statistics and claims made throughout our website. While STING is in early development, we strive for transparency about market conditions and technical capabilities.
Market Data
The following references provide context for the growing secure AI market:
[1] Enterprise AI Privacy Concerns
- Based on industry surveys and reports about enterprise AI adoption barriers
- Common themes in analyst reports from Gartner, Forrester, and IDC
- Reflects feedback from early customer interviews
[2] AI Deployment Timeline
- Industry trend analysis showing rapid AI adoption plans
- Various surveys indicate majority of enterprises planning AI initiatives
[3] Cloud AI Resistance
- Based on regulated industry requirements (healthcare, finance, government)
- Compliance requirements (HIPAA, GDPR, SOX) limiting cloud adoption
- Security concerns in sensitive data environments
[4] Market Opportunity
- Enterprise AI market projections from multiple analyst firms
- Secure/private AI represents growing segment of overall AI market
- Exact figures vary by source and methodology
Technical Specifications
Memory Reduction (75%)
- Based on INT8 quantization techniques for model optimization
- Standard industry approach for reducing model memory footprint
- Actual reduction varies by model and implementation
Revenue Share (85%)
- STING’s planned marketplace commission structure
- Subject to change based on operational costs and market conditions
- Comparable to other knowledge/content marketplaces
PII Detection (50+ types)
- Based on comprehensive PII taxonomy including:
- Standard identifiers (SSN, email, phone)
- Financial data (credit cards, bank accounts)
- Healthcare identifiers (MRN, insurance IDs)
- Custom patterns for specific industries
- Expandable based on customer requirements
Important Disclaimers
Product in Development: STING is currently in active development. Features, specifications, and pricing are subject to change.
Forward-Looking Statements: Claims about future capabilities, market opportunities, and business models are forward-looking and may not reflect final implementation.
Third-Party Data: Market statistics are derived from publicly available sources and industry reports. We cannot guarantee their accuracy.
Performance Claims: Technical performance metrics are based on internal testing and standard industry benchmarks. Actual performance will vary based on deployment environment.
Stay Informed
For the most current information about STING:
- Join our early access program
- Review our GitHub repository
- View our documentation
Last updated: January 2025