Secure your AI agents with
one line of code

Open-source identity and security for AI agents and MCP servers.
Cryptographic verification. Supply chain attestation. Complete audit trails.

agent = secure("my-agent")

Identity. Authorization. Audit logs. All included.

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From the founders of CyberSecurity NonProfit

See AIM in action

7-minute walkthrough of the complete platform

AI agents are the new attack surface

Your agents access APIs, databases, and secrets. Without identity management, you have no visibility into what they're doing.

No Agent Identity

Agents operate without cryptographic identity. You can't verify who did what, or audit actions for compliance.

Unverified MCP Servers

MCP servers can be compromised or impersonated. Without attestation, your agents connect blindly to untrusted services.

Zero Visibility

When something goes wrong, there's no trail. No logs. No accountability. You find out about breaches weeks later.

Who needs AIM?

If any of these sound familiar, you need agent identity management.

Security Teams

"We have dozens of AI agents in production and no idea what MCP servers they're connecting to or what data they can access."

Platform Engineers

"Developers are spinning up MCP servers without approval. We need visibility and control before this becomes shadow IT."

Compliance Officers

"We need audit trails for every AI agent action to pass our SOC 2 audit. Right now we have nothing."

CISOs

"Our agents have access to production databases and customer data. How do we enforce least-privilege without slowing down development?"

AIM: Agent Identity Management

Cryptographic identity for every agent. Attestation for every MCP server. Complete visibility into your AI infrastructure.

Agent Identity

Ed25519 cryptographic signatures for every agent action. Verify authenticity at the API layer.

MCP Attestation

Verify MCP server authenticity before connection. Detect capability drift and unauthorized changes.

Supply Chain Security

Visualize agent-to-MCP dependencies. Know exactly what your agents connect to and why.

Trust Scoring

8-factor algorithm tracks behavior over time. Detect anomalies and automatically reduce trust on violations.

Secure in three steps

From zero to production-ready security in under 5 minutes

Step 1

Install & Register

Add the SDK and register your agent. Cryptographic keys are generated automatically.

$ pip install aim-sdkagent = secure("my-agent")

Step 2

Auto-Verify

MCP servers are discovered and attested automatically. Trust scores calculated in real-time.

postgres

95%

slack

88%

github

92%

Step 3

Monitor & Protect

Real-time visibility into every action. Automatic alerts for anomalies and policy violations.

90%

Agents

Actions142

Violations0

Works with your stack

Python SDK with integrations for LangChain, CrewAI, and any MCP-compatible agent

Install

pip install aim-sdk

One-line setup

from aim_sdk import secure

# One line - cryptographic identity, audit logging, trust scoring
agent = secure("my-agent")

# Agent type auto-detected from your imports (LangChain, CrewAI, etc.)
# Ed25519 keys generated automatically
# MCP servers discovered and attested
print(f"Agent ID: {agent.agent_id}")
print(f"Trust Score: {agent.trust_score}")

Get started in minutes

Open Source

Self-hosted, free forever

Full feature access
Python SDK included
Community support

View on GitHub

AIM Cloud

Managed infrastructure

No setup required
Free tier available
Pro & Enterprise launching 2026

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The AI security crisis is real

AI agents are moving to production without the security fundamentals we'd never skip for traditional infrastructure.

74%

of organizations experienced an AI security breach in 2023

Source: Industry Research

9.3

CVSS Score for EchoLeak (CVE-2025-32711) - Critical severity

Microsoft Copilot vulnerability

$4.45M

Average cost of a data breach in 2023

IBM Cost of Data Breach Report

Frequently Asked Questions

How is AIM different from API gateways?

API gateways don't understand agent-specific attack patterns like prompt injection. They can't verify cryptographic agent identity or enforce capability-based access control. AIM works at the application layer where agents operate, understanding the semantic meaning of agent actions.

Why AGPL-3.0 license?

AGPL ensures security-critical code stays transparent. You can audit every line of code that protects your AI infrastructure. Organizations can contact us for alternative licensing. The important thing is that security tools should be inspectable.

Can't I use my framework's built-in security?

Most agent frameworks don't have built-in security—they trust whatever runs them. AIM adds the security layer that frameworks assume exists but doesn't: cryptographic identity, capability enforcement, and audit logging. The one-line integration works because AIM complements existing frameworks.

What's the performance impact?

AIM adds less than 5ms latency per verification. Ed25519 signature verification is extremely fast, and capability checks are done in-memory. For most applications, the security overhead is negligible compared to LLM inference time.

Do I need to modify my existing agents?

No. AIM uses a one-line integration: agent = secure("my-agent"). It auto-detects your framework (LangChain, CrewAI, AutoGen), discovers MCP servers, and registers capabilities. Your existing code continues to work with added security.