AIP: Agent Identity Protocol for Verifiable Delegation Across MCP and A2A
On the map: LLM agents and tool use → Agent threats, guardrails and governance
Abstract (arXiv)
AI agents increasingly call tools via the Model Context Protocol (MCP) and delegate to other agents via Agent-to-Agent (A2A), yet neither protocol verifies agent identity. A scan of approximately 2,000 MCP servers found all lacked authentication. In our survey, we did not identify a prior implemented protocol that jointly combines public-key verifiable delegation, holder-side attenuation, expressive chained policy, transport bindings across MCP/A2A/HTTP, and provenance-oriented completion records. We introduce Invocation-Bound Capability Tokens (IBCTs), a primitive that fuses identity, attenuated authorization, and provenance binding into a single append-only token chain. IBCTs operate in two wire formats: compact mode (a signed JWT for single-hop cases) and chained mode (a Biscuit token with Datalog policies for multi-hop delegation). We provide reference implementations in Python and Rust with full cross-language interoperability. Compact mode verification takes 0.049ms (Rust) and 0.189ms (Python), with 0.22ms overhead over no-auth in real MCP-over-HTTP deployment. In a real multi-agent deployment with Gemini 2.5 Flash, AIP adds 2.35ms of overhead (0.086% of total end-to-end latency). Adversarial evaluation across 600 attack attempts shows 100% rejection rate, with two attack categories (delegation depth violation and audit evasion through empty context) uniquely caught by AIP's chained delegation model that neither unsigned nor plain JWT deployments detect.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 1 of its 18 references that are in the map. First posted on arXiv 25 Mar 2026.
Builds on
1 of 18 references.
References · 1
- 2026Intelligent AI Delegationcited by 18
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Citing papers per year: 2026: 11.
11 papers.
- 2026AID-Guard: Stateful Authorization for Delegated Agent Effectscited by 5
- 2026MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architecturescited by 4
- 2026Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systemscited by 3
- 2026VERA: Authority-Preserving Edge Revocation for Federated AI-Agent Workflowscited by 2
- 2026Attesting Outputs and Delegation Ancestry in Multi-Agent AI Systemscited by 1
- 2026SoulAuth: An Actor-native Identity Architecture and Rust Reference Implementation for Humans and Long-lived AI Actorscited by 1
- 2026Cryptographically verifiable authorization for autonomous AI agents: a falsifiable hypothesis and proof of conceptcited by 0
- 2026InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of Agentscited by 0
- 2026NostrAgent: A Decentralized Identity and Delegation Architecture for Sovereign Agentic Systemscited by 0
- 2026Subjects, Not Authors: The Authorship Hazard in Agentic Dataspacescited by 0
- 2026Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegationcited by 0
- 2026Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation29 Sep 2026
- 2026Subjects, Not Authors: The Authorship Hazard in Agentic Dataspaces24 Sep 2026
- 2026NostrAgent: A Decentralized Identity and Delegation Architecture for Sovereign Agentic Systems19 Sep 2026
- 2026SoulAuth: An Actor-native Identity Architecture and Rust Reference Implementation for Humans and Long-lived AI Actors10 Sep 2026
- 2026Attesting Outputs and Delegation Ancestry in Multi-Agent AI Systems31 Aug 2026
- 2026VERA: Authority-Preserving Edge Revocation for Federated AI-Agent Workflows30 Aug 2026
- 2026AID-Guard: Stateful Authorization for Delegated Agent Effects21 Aug 2026
- 2026InterSAGE: The Secure and Verifiable Interoperability Protocol for An Internet of Agents13 Aug 2026
- 2026MasDrift: Benchmarking Authorization Preservation Across Multi-Agent Architectures2 Aug 2026
- 2026Cryptographically verifiable authorization for autonomous AI agents: a falsifiable hypothesis and proof of concept23 Jul 2026
- 2026Safe Multi-Agent Behavior Must Be Maintained, Not Merely Asserted: Constraint Drift in LLM-Based Multi-Agent Systems11 May 2026
Similar, not cited
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