Підготовка контенту платформи Ring
Підготовка контенту платформи Ring
Підготовка контенту платформи Ring
Security-First AI Email Processing for Enterprise Scale
This document provides a deep architectural overview of Ring Platform's Email AI-CRM system, focusing on security patterns, AI integration strategies, and scalability considerations.
IMAP IDLE Listener
Uses persistent IMAP connection for real-time email delivery.
Email Parser
Handles RFC 5322 parsing, thread reconstruction, and content cleaning.
Defense-in-Depth Strategy
Layer 1: Input Sanitization
Pattern-based detection with O(n) complexity.
Layer 2: AI Classification
Uses Claude Haiku for cost-effective attack detection.
Layer 3: Spotlighting (Datamarking)
Based on Microsoft research for preventing prompt injection.
Security-First AI Email Processing for Enterprise Scale
This document provides a deep architectural overview of Ring Platform's Email AI-CRM system, focusing on security patterns, AI integration strategies, and scalability considerations.
IMAP IDLE Listener
Uses persistent IMAP connection for real-time email delivery.
Email Parser
Handles RFC 5322 parsing, thread reconstruction, and content cleaning.
Defense-in-Depth Strategy
Layer 1: Input Sanitization
Pattern-based detection with O(n) complexity.
Layer 2: AI Classification
Uses Claude Haiku for cost-effective attack detection.
Layer 3: Spotlighting (Datamarking)
Based on Microsoft research for preventing prompt injection.
Security-First AI Email Processing for Enterprise Scale
This document provides a deep architectural overview of Ring Platform's Email AI-CRM system, focusing on security patterns, AI integration strategies, and scalability considerations.
IMAP IDLE Listener
Uses persistent IMAP connection for real-time email delivery.
Email Parser
Handles RFC 5322 parsing, thread reconstruction, and content cleaning.
Defense-in-Depth Strategy
Layer 1: Input Sanitization
Pattern-based detection with O(n) complexity.
Layer 2: AI Classification
Uses Claude Haiku for cost-effective attack detection.
Layer 3: Spotlighting (Datamarking)
Based on Microsoft research for preventing prompt injection.
Layer 4: Output Validation
Prevents data exfiltration and policy violations.
Model Tiering Strategy
Prompt Caching Architecture
Tool Use Architecture
Database Schema Design
Indexing Strategy
Horizontal Scaling
Rate Limiting
Layer 4: Output Validation
Prevents data exfiltration and policy violations.
Model Tiering Strategy
Prompt Caching Architecture
Tool Use Architecture
Database Schema Design
Indexing Strategy
Horizontal Scaling
Rate Limiting
Layer 4: Output Validation
Prevents data exfiltration and policy violations.
Model Tiering Strategy
Prompt Caching Architecture
Tool Use Architecture
Database Schema Design
Indexing Strategy
Horizontal Scaling
Rate Limiting
| Standard | Implementation |
|---|---|
| OWASP | 4-layer injection defense |
| GDPR | PII detection & redaction |
| SOC 2 | Audit logging & encryption |
| PCI-DSS | No card data storage |
| Standard | Implementation |
|---|---|
| OWASP | 4-layer injection defense |
| GDPR | PII detection & redaction |
| SOC 2 | Audit logging & encryption |
| PCI-DSS | No card data storage |
| Standard | Implementation |
|---|---|
| OWASP | 4-layer injection defense |
| GDPR | PII detection & redaction |
| SOC 2 | Audit logging & encryption |
| PCI-DSS | No card data storage |
The Email AI-CRM architecture is designed for enterprise-scale email processing with security at its core. Every component is built with defense-in-depth principles.
The Email AI-CRM architecture is designed for enterprise-scale email processing with security at its core. Every component is built with defense-in-depth principles.
The Email AI-CRM architecture is designed for enterprise-scale email processing with security at its core. Every component is built with defense-in-depth principles.