Comparison

KYA vs AWS IAM for LLM Agents — What's Missing

AWS IAM controls what AWS services a role can call. It doesn't understand agent actions, capability tokens, or per-action spend limits. Here's how KYA fills the gap.

AWS IAM is infrastructure-level, not action-level

AWS IAM controls which AWS APIs a role can call. It has no concept of 'this agent can charge up to €50 per transaction' or 'this agent can write to the CRM but only for deals under €10k'. The granularity stops at the API level.

Feature comparison

KYA adds an action-level permission layer on top of any infrastructure — AWS or otherwise.

FeatureKYAAlternative
ScopeAny action (tool call, API, external service)AWS APIs only
GranularityPer action with spend + rate limitsPer API method
Business logic policiesYes (max_per_tx, max_per_day, conditions)No
Agent identityEd25519 cryptographic identityIAM Role ARN
Short-lived tokensYes, 5-min capability tokensSTS tokens (15min–12h)
Audit logHash-chain, every agent actionCloudTrail (API calls only)
Multi-cloud / on-premiseYesAWS only
Open sourceYes (Apache 2.0)Proprietary

Using KYA with AWS

KYA and AWS IAM work together: use IAM to grant your agent the AWS roles it needs, and use KYA to enforce business-level policies on top. KYA intercepts every tool call before it reaches the AWS SDK.

Try KYA for free

Add identity & permissions to your AI agents in under 5 minutes.