Secure Data Exchange for Multi-Cloud AI Systems

Short summary

Multi-agent AI systems leak sensitive data through metadata and internal message channels at 68.8% rates, with standard encryption covering only transit but not endpoints. AgentCrypt's four-level framework—from policy-based retrieval to fully homomorphic encryption—provides tiered security matching sensitivity classification. Implementation requires data classification, trust boundary mapping, framework selection, and comprehensive audit coverage spanning inter-agent communications, not just final outputs.

• •Metadata and internal agent messages leak data at higher rates than final outputs in multi-agent systems
• •AgentCrypt framework offers four tiers from Level 2 (policy-based encrypted retrieval) to Level 4 (fully homomorphic encryption)
• •Practical implementation: classify data sensitivity, map trust boundaries, select framework tier, validate audit coverage for inter-agent communication

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