Edge-Native Security for AI Agents: Why Your Digital Twin Needs a Bodyguard

Key Points

• The aim is to develop a security framework for edge-native AI agents that protects personal health data.
• Developed an eight-pattern defense taxonomy for edge-native AI agents.
• Applied a reference monitor architecture for enhanced security.
• Aligned with NIST 800-53 and ISO 27001 governance standards.
• The defense taxonomy scored 9.01/10, indicating a strong security framework.
• Demonstrated the necessity of a 'bodyguard' design for AI agents handling sensitive data.