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---
title: IAM for AI Backends | daily.dev
description: Agentic AI systems that reason and delegate autonomously break traditional identity infrastructure built for predictable, deterministic software. API keys and...
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og:title: IAM for AI Backends | daily.dev
og:description: Agentic AI systems that reason and delegate autonomously break traditional identity infrastructure built for predictable, deterministic software. API keys and...
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# IAM for AI Backends

**[AgentField.ai](https://daily.dev/sources/agentfield)** · 14 min read · 0 upvotes · 0 comments

## Summary

Agentic AI systems that reason and delegate autonomously break traditional identity infrastructure built for predictable, deterministic software. API keys and OAuth assume a single client embodies user intent and can't express delegation lineage or context, while callback-based authorization doesn't scale to the parallel, machine-speed decision-making of agents, and broad-permission approaches sacrifice accountability. The proposed fix is identity infrastructure built on Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), giving every agent a cryptographic identity, enabling scoped and attenuating delegation between agents, making permissions portable across organizational boundaries without shared IdPs, and replacing logs with cryptographically verifiable audit trails. AgentField, an open-source framework, implements this using did:key and did:web methods along with automatic verifiable credential generation per agent execution, aiming to enable cross-company 'agent economy' transactions with offline-verifiable proof chains.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://agentfield.ai/blog/iam-ai-backends>

## Questions this post answers

### Why can't OAuth handle authorization for multi-agent AI workflows?

OAuth assumes the client's request embodies a single resource owner's intent, with static predefined scopes that can't express delegation lineage (which agent invoked whom) or context (why an action occurred). In multi-agent chains with several delegation hops, a resource server must verify the entire delegation path back to the original user, something OAuth tokens weren't designed to carry, and it breaks entirely across organizational boundaries since it assumes one shared trusted identity provider.

_Teams weighing OAuth against emerging agent-identity standards can track this debate on daily.dev._

### How does AgentField give each AI agent its own verifiable identity?

AgentField assigns each agent a cryptographic key pair encoded as a Decentralized Identifier (DID), using the did:key method by default so the public key is embedded directly in the identifier and verifiable instantly with zero network lookups; did:web is also supported for discoverable, web-hosted identities. Every reasoner function gets its own DID, and every execution produces a signed Verifiable Credential as proof of authorization.

_Developers architecting agent-to-agent trust can follow implementation details like this on daily.dev._

### How does credential-based delegation prevent agents from inheriting full permissions from the agent that called them?

Instead of forwarding a shared token, a delegating agent issues a new, narrower Verifiable Credential signed with its own private key, specifying exactly what the receiving agent can do, such as refund transactions up to $5,000 for one hour. Each delegation hop attenuates scope further than the one before it, so permissions shrink by design as they propagate through a chain of sub-agents.

_Engineers designing scoped delegation for agent pipelines can compare approaches like this on daily.dev._

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---

Tags: [#cloud](https://daily.dev/tags/cloud), [#ai-agents](https://daily.dev/tags/ai-agents), [#oauth](https://daily.dev/tags/oauth)

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