Overview
A dual-language secure communications suite providing SMS capabilities through GSM modems, built with both Go and Python implementations. This project enables secure, out-of-band communications for security operations and incident response scenarios.
Security Architecture
SMS Security Considerations
- Out-of-band Communications: SMS provides alternative communication channel during network compromises
- Hardware-level Security: Direct GSM modem control bypasses traditional network infrastructure
- Connection Security: Secure serial port communication with proper authentication
- Error Handling: Robust failure modes preventing information disclosure
Cross-Platform Implementation
Both Go and Python versions provide:
- Secure Serial Communication: Protected access to GSM modem hardware
- Message Validation: Input sanitization and message formatting security
- Connection Management: Secure modem initialization and cleanup procedures
- CLI Security: Safe command-line interfaces with input validation
AI Security Applications
Incident Response Communications
- Secure Alert Channels: Out-of-band alerting for AI system security incidents
- Emergency Communications: Backup communication during AI infrastructure compromises
- Threat Notification: Secure delivery of AI threat intelligence and alerts
- Operations Security: Communications channel for AI security team coordination
AI Agent Integration
The SMS suite integrates with TaskManager Agent for:
- Secure Reminders: Hardware-based delivery of security task reminders
- Status Updates: Out-of-band status reporting for critical AI security tasks
- Emergency Escalation: Direct communication path when AI systems detect critical threats
- Audit Logging: Secure logging of security-related communications
Technical Implementation
Go Implementation (sms-handler)
- Performance: High-performance SMS handling suitable for real-time security operations
- Concurrency: Go routines for handling simultaneous communications
- CLI Tool: Interactive chat interface for testing and operational use
- Library Interface: Clean API for integration with security tools
Python Implementation (pysms)
- Integration: Seamless integration with Python-based security tools
- Flexibility: Rich CLI with typer for complex operational scenarios
- Development: Easy integration with existing Python security toolchains
- Testing: Comprehensive test suite for reliability in security operations
Security Operations Use Cases
Network-Independent Communications
- Infrastructure Resilience: Communications capability during network outages or attacks
- Threat Response: Direct communication channel for security incident coordination
- Monitoring Integration: SMS alerts for AI security monitoring systems
- Backup Communications: Redundant communication path for critical security operations
AI Security Monitoring
The suite supports AI security operations through:
- Automated Alerting: Integration with AI threat detection systems
- Status Monitoring: Regular health checks and status updates for AI security infrastructure
- Incident Escalation: Direct escalation path for AI security incidents requiring human intervention
- Secure Coordination: Protected communication channel for AI security team operations