Production-grade identity management and security for AI agents.
Complete visibility, control, and complianceβwithout complexity.
Deploy authentication, authorization, and audit trails for your entire AI infrastructure in seconds. No API keys. No configuration files. Just secure, compliant agents.
agent = secure("my-agent")Download your personalized SDK from the dashboard. Wrap your agent. Deploy with confidence.
That's it. Production-grade security activated.
Traditional identity solutions weren't built for AI agents. Here's what organizations are facing today.
of employees use unauthorized "shadow AI" with company data
Gartner, 2024
Average cost of a single data breach in 2024
IBM Security Report
of companies increasing AI security budgets in 2025
McKinsey Analysis
of organizations actively seeking AI governance solutions
Forrester Research
Microsoft Copilot and Google Gemini incidents exposed how AI agents can be manipulated to leak sensitive data or bypass security controls.
1 in 5 companies experienced AI data leaks. 57% of users unknowingly pasted sensitive credentials into public AI tools.
Major organizations including JPMorgan and Samsung banned ChatGPT after discovering widespread unauthorized usage across teams.
Three simple steps to production-grade AI agent security
Download your personalized SDK from the dashboard. No pip install, no API keys needed.
agent = secure("agent")AIM automatically detects capabilities, MCP servers, and frameworks your agent uses.
β Capabilities detected
β MCPs verified
β Trust score calculated
Monitor, audit, and block attacks in real-time. Get alerts for suspicious behavior.
π‘οΈ Attacks blocked
π Audit logs captured
π¨ Alerts triggered
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.
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.
Detects when agents attempt to expose API keys, tokens, or private keys through code suggestions
Blocks suspicious code execution patterns that deviate from normal agent behavior
Prevents agents from sending sensitive data to unauthorized external endpoints
Built from the ground up with security, compliance, and scale in mind
Production-grade security without configuration, API keys, or complexity.
secure("my-agent")Automatically discovers MCP servers and capabilities your agents use. No manual configuration needed.
Detects and blocks capability violations, credential leakage, and EchoLeak-style attacks in real-time.
Ed25519 cryptographic verification of MCP servers with automatic capability drift detection
Works with LangChain, CrewAI, GitHub Copilot, and all MCP servers out of the box
Immutable audit logs for every agent action with ML-powered trust scoring
See how AIM compares to traditional security approaches
secure("agent") - that's it!AIM integrates seamlessly with LangChain, CrewAI, and any Python-based agent framework
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! β¨
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! π
# - No API keys to manage
# - No manual configuration
# - Automatic security and complianceSecure LangChain agents with automatic chain execution monitoring
from aim_sdk import secure
from langchain import Agent
agent = secure("langchain-agent")
# AIM monitors all chain callsTrack 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 crewProduction-grade security in seconds
No configuration, no API keys, no complexity
Join leading organizations using AIM to manage agent identities at scale