AIAdvanced#Architecture#Identity#Risk Management
Agentic Mesh
A
Definition
An architecture pattern in which multiple software agents exchange messages or delegate bounded tasks. It may distribute work, but it does not create collective intelligence, verify another agent's output, or authorize a financial action.
Source reviewed
- NIST: AI Agent Identity and Authorization opens in a new tab
Supports: NIST identifies service identity, authorization, auditability, and constrained permissions as central considerations for software and AI agents.
- OWASP: LLM06 Excessive Agency opens in a new tab
Supports: OWASP documents damaging actions when agent-based applications grant broad tool authority to unexpected, ambiguous, or manipulated model output.
Concept Diagram
Key Takeaways
1
An agentic mesh coordinates bounded tasks between agents; it does not establish intelligence, correctness, or authority.
2
Every agent needs a named operator, service identity, input and output contract, source limits, cost limit, failure mode, and revocation path.
3
Authenticate and log messages, allowlist destinations, enforce idempotency, and verify provenance before acting on another agent's result.
4
Keep payments, wallet access, and irreversible actions outside the shared path behind independent policy checks and explicit approval.
Practical Example
A collection agent retrieves an official announcement and sends its URL, publisher identity, timestamp, and hash to a summarisation agent. A verification service checks the source and creates a review task. The message cannot access a wallet, payment account, or transaction tool.
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Related Terms
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AgenticityAn informal way to describe how much an AI system can observe, plan, call tools, and act. It is not a standardized maturity score, a measure of trustworthiness, or permission to give an agent broad authority.
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Agentic WalletA wallet or smart-account workflow that gives software an explicitly bounded ability to prepare or execute actions. It is an implementation pattern, not an ERC-4337 feature, safety guarantee, or reason to grant a model unrestricted signing authority.
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Perception LayerThe part of an AI workflow that collects and labels inputs such as blockchain records, market data, and public communications. It supplies context for review; it does not establish truth, identify people, predict prices, or justify an action.
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Execution LayerA controlled component that prepares, validates, signs, submits, and monitors a state-changing operation. In an agent workflow, it must treat model output as an untrusted proposal, not as authority to move funds or call a contract.
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