AIM vs AWS IAM for AI Agents
Compare open source agent identity management with AWS IAM's resource access control. Different scopes, complementary purposes.
AIM
by OpenA2A
Purpose-built for AI agents. Cryptographic identity, capability-based access, and continuous trust scoring. Open source and self-hosted.
AWS IAM
by Amazon Web Services
Resource-level access control for AWS. Manage who (principals) can do what (actions) on which AWS resources. IAM roles for cross-service access.
Key Distinction: Agent Identity vs Resource Access
AWS IAM controls access to AWS resources (who can call which AWS APIs). AIM manages AI agent identity (cryptographic proof, behavioral trust, capabilities). AWS IAM asks "can this principal invoke this action on this resource?" while AIM asks "is this agent trustworthy to perform this capability?" IAM roles provide machine identity for AWS access, but not AI-specific trust scoring or capability enforcement.
Feature Comparison
| Feature | AIM | AWS IAM |
|---|---|---|
| Primary Focus | AI agent identity | AWS resource access control |
| Licensing | Apache-2.0 | Included with AWS (pay for resources) |
| Deployment | Self-hosted or Cloud | AWS managed only |
| Cryptographic Agent Identity | Ed25519 per agent | Access keys / Role assumption |
| Continuous Trust Scoring | 9-factor dynamic | Not available |
| Capability-Based Access | Code-level enforcement | Policy-based (JSON documents) |
| MCP Server Attestation | Native support | Not supported |
| AI Framework Integration | LangChain, CrewAI, etc. | Not applicable |
| IAM Roles | Not applicable | Core feature |
| Cross-Account Access | Not applicable | Role assumption |
| Service Control Policies | Not applicable | Org-wide controls |
| Vendor Lock-in | None (portable) | AWS ecosystem |
| Source Code Access | Full access | Closed source |
| Cost Model | Open source | Included with AWS (pay for resources) |
Different Layers of Security
AIM: Agent Identity Layer
AIM asks: "Is this AI agent trustworthy?"
- Cryptographic proof of agent identity
- Behavioral trust that evolves over time
- Capability boundaries at the code level
- Works across any cloud or on-premises
AWS IAM: Resource Access Layer
AWS IAM asks: "Can this principal access this resource?"
- Control access to AWS services
- Policy-based permissions (Allow/Deny)
- IAM roles for temporary credentials
- Cross-account and cross-service access
When to Choose Each Solution
Choose AIM if you...
- Are building or deploying AI agents
- Need to secure autonomous software (not just resources)
- Use LangChain, CrewAI, or Claude Desktop
- Want cryptographic identity per agent
- Need continuous behavioral trust evaluation
- Require MCP server attestation
- Want to avoid cloud vendor lock-in
Choose AWS IAM if you...
- Need to control access to AWS resources
- Managing human user access to AWS console
- Need IAM roles for EC2, Lambda, ECS
- Want organization-wide security policies
- Using AWS-native services (Lambda, S3, DynamoDB)
- Need cross-account resource sharing
- Managing S3, RDS, SQS access control
Time to Secure Your First Agent
5 Minutes
with AIM
N/A
with AWS IAM
Different Approaches
AIM secures the agent itself. AWS IAM controls what AWS resources it can access.
AIM: Agent Identity
from aim_sdk import secure
# Secure the AI agent itself
# Cryptographic identity + trust
agent = secure(
"data-processor",
capabilities=[
"database:read",
"api:call"
]
)
# Agent identity is verified
# before any actionAWS IAM: Resource Access
# Grant access to AWS resources
# via IAM policy
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"dynamodb:Query"
],
"Resource": "*"
}
# Controls AWS API access
# Not agent-level identityUse Both Together
AIM and AWS IAM operate at different layers and complement each other:
- AIM verifies and manages agent identity with trust scoring
- AWS IAM controls what AWS resources the agent can access
- AIM trust score can gate IAM role assumption
- AIM can run on ECS/EKS with IAM roles for tasks
Agent identity (AIM) + Resource access (AWS IAM) = Defense in depth for AI agents on AWS.
Building with Amazon Bedrock?
If you're building AI agents with Amazon Bedrock, AWS IAM controls access to Bedrock APIs, but it doesn't manage the identity of the AI agents themselves. AIM provides the missing layer: cryptographic identity, capability enforcement, and trust scoring for your Bedrock-powered agents. Use IAM for Bedrock API access, AIM for agent identity.
Start Securing Your AI Agents Today
AIM provides what AWS IAM can't: purpose-built identity for AI agents. Open source, self-hosted, Apache-2.0 license.
Apache-2.0 license • Self-hosted • Works alongside AWS IAM