74% of organizations experienced an AI security breach in 2023

Secure your AI agents with
one line of code

Production-grade identity management and security for AI agents.
Complete visibility, control, and complianceβ€”without complexity.

Deploy authentication, authorization, and audit trails for your entire AI infrastructure in seconds. No API keys. No configuration files. Just secure, compliant agents.

One Line = Complete Security
agent = secure("my-agent")
That's it. Seriously.
Zero Configuration
No API keys, no setup files, no credentials
Auto-Detection
Discovers MCPs and capabilities automatically
Complete Protection
Auth, audit logs, and threat detection built-in

Download your personalized SDK from the dashboard. Wrap your agent. Deploy with confidence.

That's it. Production-grade security activated.

The AI security landscape has changed

Traditional identity solutions weren't built for AI agents. Here's what organizations are facing today.

68%

of employees use unauthorized "shadow AI" with company data

Gartner, 2024

$4.9M

Average cost of a single data breach in 2024

IBM Security Report

96%

of companies increasing AI security budgets in 2025

McKinsey Analysis

89%

of organizations actively seeking AI governance solutions

Forrester Research

AI security challenges at scale

Prompt Injection Attacks

Microsoft Copilot and Google Gemini incidents exposed how AI agents can be manipulated to leak sensitive data or bypass security controls.

Credential Exposure

1 in 5 companies experienced AI data leaks. 57% of users unknowingly pasted sensitive credentials into public AI tools.

Shadow AI Proliferation

Major organizations including JPMorgan and Samsung banned ChatGPT after discovering widespread unauthorized usage across teams.

How It Works

Three simple steps to production-grade AI agent security

1

Integrate SDK

Download your personalized SDK from the dashboard. No pip install, no API keys needed.

agent = secure("agent")
2

Auto-Discovery

AIM automatically detects capabilities, MCP servers, and frameworks your agent uses.

βœ“ Capabilities detected

βœ“ MCPs verified

βœ“ Trust score calculated

3

Real-Time Protection

Monitor, audit, and block attacks in real-time. Get alerts for suspicious behavior.

πŸ›‘οΈ Attacks blocked

πŸ“Š Audit logs captured

🚨 Alerts triggered

Cryptographic MCP Server Attestation

Ed25519 Digital Signatures

AIM cryptographically verifies every MCP server your agents connect to using Ed25519 digital signatures. Each MCP server gets a unique public key, and AIM tracks capability changes to detect drift and prevent unauthorized modifications.

βœ… What Gets Verified

  • β€’ MCP server identity (Ed25519 public key)
  • β€’ Declared capabilities (read_files, execute_code, etc.)
  • β€’ Capability drift detection
  • β€’ Connection frequency and patterns

πŸ›‘οΈ Auto-Discovery

  • β€’ Scans Claude Desktop config automatically
  • β€’ Finds filesystem-mcp, postgres-mcp, etc.
  • β€’ Builds confidence scores from attestations
  • β€’ Alerts on unexpected capability changes

Prevent EchoLeak-Style Attacks

Security Policy Enforcement

AIM protects against prompt injection attacks like EchoLeak that exploit AI coding assistants (Copilot, Cursor, etc.). Our security policies detect when agents attempt to leak credentials, execute unauthorized code, or exfiltrate sensitive data.

πŸ›‘οΈ Credential Protection

Detects when agents attempt to expose API keys, tokens, or private keys through code suggestions

⚑ Execution Control

Blocks suspicious code execution patterns that deviate from normal agent behavior

πŸ”’ Data Protection

Prevents agents from sending sensitive data to unauthorized external endpoints

Production-Ready Security for AI Agents

Built from the ground up with security, compliance, and scale in mind

One-Line Security

Production-grade security without configuration, API keys, or complexity.

secure("my-agent")

Auto-Detection

Automatically discovers MCP servers and capabilities your agents use. No manual configuration needed.

Stop Cyber Attacks

Detects and blocks capability violations, credential leakage, and EchoLeak-style attacks in real-time.

MCP Attestation

Ed25519 cryptographic verification of MCP servers with automatic capability drift detection

Framework Integrations

Works with LangChain, CrewAI, GitHub Copilot, and all MCP servers out of the box

Complete Audit Trails

Immutable audit logs for every agent action with ML-powered trust scoring

Why Choose AIM?

See how AIM compares to traditional security approaches

Traditional Approach

  • β—‹Manual configuration of security policies and API keys
  • β—‹No visibility into agent capabilities or MCP connections
  • β—‹Vulnerable to prompt injection and credential leakage
  • β—‹No audit trail for compliance requirements
  • β—‹Reactive security - find out about attacks after they happen

With AIM

  • βœ“One line of code: secure("agent") - that's it!
  • βœ“Automatic discovery of all MCP servers and capabilities
  • βœ“Real-time blocking of EchoLeak attacks and credential theft
  • βœ“Complete immutable audit logs for every agent action
  • βœ“Proactive security - stop attacks before they happen

Works with Your Favorite Frameworks

AIM integrates seamlessly with LangChain, CrewAI, and any Python-based agent framework

Quick Start Examples

Zero Configuration: Download your personalized SDK from the dashboard. No pip install, no API keys needed!

# Step 1: Download SDK from AIM dashboard
# Navigate to: Settings β†’ SDK Download β†’ Download Python SDK

# Step 2: Extract and import (no pip install!)
from aim_sdk import secure

# Step 3: One line - your agent is secured! ✨
agent = secure("my-assistant")

# Use decorators for automatic capability verification
@agent.perform_action("database_read")
def get_user_data(user_id: str):
    # AIM verifies this action before execution
    # Blocks if agent doesn't have database_read permission
    return database.query(f"SELECT * FROM users WHERE id = {user_id}")

# Log agent activities for audit trails
@agent.perform_action("send_email")
def send_notification(email: str, message: str):
    # AIM logs this action + detects anomalies
    return email_service.send(email, message)

# That's it! πŸŽ‰
# - No API keys to manage
# - No manual configuration
# - Automatic security and compliance

LangChain Integration

Secure LangChain agents with automatic chain execution monitoring

from aim_sdk import secure
from langchain import Agent

agent = secure("langchain-agent")
# AIM monitors all chain calls

CrewAI Integration

Track multi-agent crews with individual trust scores

from aim_sdk import secure
from crewai import Crew

crew = secure("research-crew")
# AIM tracks each agent in crew

Production-grade security in seconds

No configuration, no API keys, no complexity

Get Started β†’

Ready to secure your AI infrastructure?

Join leading organizations using AIM to manage agent identities at scale