swarm-shield 6.8.8

Swarm Shield - TGSC

SwarmShield 🛡️

SwarmShield is an enterprise-grade security system for swarm-based multi-agent communications, providing military-grade encryption, secure conversation management, and comprehensive audit capabilities.

Features 🚀

• Multi-Layer Encryption

  • AES-256-GCM encryption
  • SHA-512 hashing
  • HMAC authentication
  • Automatic key rotation

• Secure Conversation Management

  • Encrypted persistent storage
  • Thread-safe operations
  • Conversation history tracking
  • Comprehensive audit logs

• Enterprise Features

  • Role-based access control
  • Automated backups
  • Detailed analytics
  • Secure exports

Installation 📦

pip install swarms

Quick Start 🏃‍♂️

from swarms.security import SwarmShield, EncryptionStrength

# Initialize SwarmShield
shield = SwarmShield(
    encryption_strength=EncryptionStrength.MAXIMUM,
    key_rotation_interval=3600  # 1 hour
)

# Create a secure conversation
conversation_id = shield.create_conversation("Strategic Planning")

# Add encrypted messages
shield.add_message(conversation_id, "Agent1", "Mission parameters received")
shield.add_message(conversation_id, "Agent2", "Confirming execution plan")

# Retrieve conversation history
history = shield.get_messages(conversation_id)
for agent, message, timestamp in history:
    print(f"{timestamp} - {agent}: {message}")

Security Features 🔒

Encryption Levels

# Standard: AES-256
shield = SwarmShield(encryption_strength=EncryptionStrength.STANDARD)

# Enhanced: AES-256 + SHA-512
shield = SwarmShield(encryption_strength=EncryptionStrength.ENHANCED)

# Maximum: AES-256 + SHA-512 + HMAC
shield = SwarmShield(encryption_strength=EncryptionStrength.MAXIMUM)

Key Management

• Automatic key rotation
• Secure key storage
• Key versioning
• Cryptographic separation

Message Security

• End-to-end encryption
• Message integrity verification
• Replay attack prevention
• Forward secrecy

Enterprise Features 🏢

Conversation Management

# Search conversations
results = shield.query_conversations(
    agent_name="Agent1",
    text="mission",
    start_date=datetime(2025, 1, 1),
    limit=10
)

# Export conversations
shield.export_conversation(
    conversation_id,
    format="json",
    path="mission_logs.json"
)

# Create backups
backup_path = shield.backup_conversations()

Analytics

# Get agent statistics
stats = shield.get_agent_stats("Agent1")
print(f"Total messages: {stats['total_messages']}")
print(f"Active in {stats['conversations']} conversations")

# Get conversation summary
summary = shield.get_conversation_summary(conversation_id)
print(f"Participants: {summary['agents']}")
print(f"Message count: {summary['message_count']}")

Production Best Practices 🛠️

1. Key Rotation

   • Set appropriate rotation intervals
   • Implement backup procedures
   • Monitor rotation events

2. Storage

   • Use secure storage paths
   • Implement backup strategy
   • Monitor storage usage

3. Logging

   • Configure appropriate log levels
   • Secure log storage
   • Regular log analysis

4. Error Handling

   • Implement proper error recovery
   • Monitor error rates
   • Set up alerts

Contributing 🤝

We welcome contributions! Please see our Contributing Guidelines for details.

1. Fork the repository
2. Create your feature branch
3. Submit a pull request

Security 🔐

For security issues, please email [e-mail] rather than using issues.

Testing ✅

Run the comprehensive test suite:

python swarm_shield_tests.py

Support 💬

• Documentation: https://swarms.ai/docs
• Issues: GitHub Issues
• Discord: Join our community
• Email: [e-mail]

License 📄

MIT License - see LICENSE for details.

Creator 👨‍💻

SwarmShield is created and maintained by Kye Gomez and the team at Swarms.AI.

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Made with ❤️ by Swarms.AI