The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web
On the map: LLM agents and tool use → Agent threats, guardrails and governance
Abstract (arXiv)
The fragmentation of AI agent ecosystems has created urgent demands for interoperability, trust, and economic coordination that current protocols -- including MCP (Hou et al., 2025), A2A (Habler et al., 2025), ACP (Liu et al., 2025), and Cisco's AGP (Edwards, 2025) -- cannot address at scale. We present the Nanda Unified Architecture, a decentralized framework built around three core innovations: fast DID-based agent discovery through distributed registries, semantic agent cards with verifiable credentials and composability profiles, and a dynamic trust layer that integrates behavioral attestations with policy compliance. The system introduces X42/H42 micropayments for economic coordination and MAESTRO, a security framework incorporating Synergetics' patented AgentTalk protocol (US Patent 12,244,584 B1) and secure containerization. Real-world deployments demonstrate 99.9 percent compliance in healthcare applications and substantial monthly transaction volumes with strong privacy guarantees. By unifying MIT's trust research with production deployments from Cisco and Synergetics, we show how cryptographic proofs and policy-as-code transform agents into trust-anchored participants in a decentralized economy (Lakshmanan, 2025; Sha, 2025). The result enables a globally interoperable Internet of Agents where trust becomes the native currency of collaboration across both enterprise and Web3 ecosystems.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 8 of its 20 references that are in the map. First posted on arXiv 10 Jul 2025.
Builds on
8 of 20 references.
Closest ancestors · 1
Same direction, newest first
Other references · 7
- 2025Multi-Agent Collaboration Mechanisms: A Survey of LLMscited by 424
- 2025Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directionscited by 257
- 2025AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommonscited by 31
- 2025ACPs: Agent Collaboration Protocols for the Internet of Agentscited by 6
- 2024CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Modelscited by 4
- 2025FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environmentscited by 2
- 2025Decoding Federated Learning: The FedNAM+ Conformal Revolutioncited by 1
Built on by
Citing papers per year: 2025: 2; 2026: 1.
3 papers.
- 2025Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threatscited by 3
- 2026Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directionscited by 1
- 2025OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weightingcited by 0
- 2026Blockchain Empowered Trustworthy Agent Networks: Foundations, Taxonomy, and Future Directions5 Aug 2026
- 2025Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats17 Aug 2025
- 2025OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting31 Jul 2025
Similar, not cited
Close in wording, no citation either way
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- 2025From Cloud-Native to Trust-Native: A Protocol for Verifiable Multi-Agent Systems
- 2025Inter-Agent Trust Models: A Comparative Study of Brief, Claim, Proof, Stake, Reputation and Constraint in Agentic Web Protocol Design-A2A, AP2, ERC-8004, and Beyond
- 2026TessPay: Verify-then-Pay Infrastructure for Trusted Agentic Commerce
- 2025MOD-X: A Modular Open Decentralized eXchange Framework proposal for Heterogeneous Interoperable Artificial Intelligence Agents