Open Source AI Security Framework

CAI FrameworkCybersecurity AI for Bug Bounty

A lightweight, ergonomic framework for building bug bounty-ready Cybersecurity AIs (CAIs) with 300+ AI models, built-in security tools, and battle-tested capabilities.

View on GitHubQuick Start Guide

Developed by Alias Robotics • Open Source • Community Driven

cai_example.py
from cai import CAI
from cai.tools import Nmap, Burp
# Initialize CAI agent
agent = CAI(
model="gpt-4",
tools=[Nmap(), Burp()]
)
# Run security assessment
result = agent.assess(
"Scan target.com for vulnerabilities"
)

Key Features

CAI provides everything you need to build powerful AI-powered security tools for bug bounty hunting and security research.

300+ AI Models
Support for OpenAI, Anthropic, DeepSeek, Ollama, and more AI models for diverse security testing scenarios.
300+ Models
Built-in Security Tools
Ready-to-use tools for reconnaissance, exploitation, and privilege escalation integrated into the framework.
50+ Tools
Battle-tested
Proven in HackTheBox CTFs, bug bounties, and real-world security case studies with documented success.
Production Ready
Agent-based Architecture
Modular framework design to build specialized agents for different security tasks and attack vectors.
Modular Design
Guardrails Protection
Built-in defenses against prompt injection and dangerous command execution to ensure safe operation.
Safety First
Research-oriented
Research foundation to democratize cybersecurity AI for the community with open-source approach.
Open Source

Agent-Based Architecture

CAI uses a modular agent-based architecture to build specialized agents for different security tasks.

Modular Design

AI Model Layer

Supports 300+ AI models from various providers including OpenAI, Anthropic, DeepSeek, and Ollama for diverse security testing needs.

Security Tools Integration

Built-in integration with popular security tools like Nmap, Burp Suite, SQLMap, and custom reconnaissance tools.

Agent Framework

Modular agent system that allows building specialized security agents for different attack vectors and testing scenarios.

Guardrails System

Safety mechanisms to prevent prompt injection attacks and dangerous command execution during automated testing.

Reporting Engine

Automated report generation with detailed vulnerability analysis, exploitation steps, and remediation recommendations.

CAI Workflow

1
Initialize CAI agent with selected AI model
2
Configure security tools and testing parameters
3
Execute reconnaissance and information gathering
4
Perform vulnerability scanning and analysis
5
Attempt exploitation with safety guardrails
6
Generate comprehensive security report

Vulnerability Detection Capabilities

CAI can detect and analyze various types of security vulnerabilities across different attack surfaces.

Web Application
25 techniques
SQL InjectionXSSCSRFIDOR
Network Security
20 techniques
Port ScanningService EnumProtocol Fuzzing
API Security
15 techniques
Auth BypassRate LimitingData Exposure
Infrastructure
18 techniques
MisconfigurationsPrivilege EscalationContainer Escape

Getting Started

Quick setup guide to get CAI running for your bug bounty and security research projects.

Installation

# Install CAI framework
pip install cai-framework
# Or install from source
git clone https://github.com/aliasrobotics/cai
cd cai
pip install -e .

Basic Usage

from cai import CAI
from cai.tools import *
# Create agent with tools
agent = CAI(
model="gpt-4",
tools=[Nmap(), Burp(), SQLMap()]
)
# Run assessment
agent.run("Find vulnerabilities in example.com")

Integration Options

CI/CD Integration
Integrate CAI into your continuous integration pipeline for automated security testing.
GitHub ActionsJenkinsGitLab CIAzure DevOps
Bug Bounty Platforms
Direct integration with popular bug bounty platforms for automated submission and tracking.
HackerOne APIBugcrowdIntigritiCustom Platforms
Security Tools
Seamless integration with existing security tools and frameworks in your workflow.
Burp SuiteOWASP ZAPMetasploitCustom Tools

Real-World Success Stories

CAI has been battle-tested in real-world scenarios including HackTheBox CTFs, bug bounties, and security assessments.

Research2024
ROS Message Injection in MiR-100 Robot
CAI successfully identified and exploited ROS message injection vulnerabilities in industrial robotics systems.
Target: MiR-100 Industrial Robot
Vulnerabilities Found: ROS Message Injection, Command Injection
Impact: Remote control of industrial robot, safety system bypass
Bug Bounty2024
API Vulnerability Discovery at Mercado Libre
Automated discovery of critical API vulnerabilities in one of Latin America's largest e-commerce platforms.
Target: Mercado Libre API Endpoints
Vulnerabilities Found: Authentication Bypass, Data Exposure
Impact: Access to sensitive user data, financial information exposure
CTF2024
JWT Security Analysis - PortSwigger CTF
CAI demonstrated advanced JWT token manipulation and bypass techniques in competitive security challenges.
Target: PortSwigger Web Security Academy
Vulnerabilities Found: JWT Algorithm Confusion, Token Manipulation
Impact: Complete authentication bypass, privilege escalation
CTF2024
HackableII Boot2Root Challenge
End-to-end penetration testing of vulnerable Linux system using automated CAI agents.
Target: HackableII Vulnerable VM
Vulnerabilities Found: Web App Exploits, Privilege Escalation, Buffer Overflow
Impact: Full system compromise, root access achieved

What Security Professionals Say

Feedback from security researchers and penetration testers using CAI in their workflows.

"CAI has revolutionized our bug bounty workflow. The automated reconnaissance and vulnerability detection capabilities have increased our finding rate by 300%."
Alex Chen
Senior Security Researcher
CyberSec Labs
"The agent-based architecture makes it incredibly easy to build specialized security tools. We've integrated CAI into our entire security testing pipeline."
Maria Rodriguez
Lead Penetration Tester
RedTeam Security
"What impressed me most is the safety guardrails. CAI allows us to automate complex security testing while maintaining control and preventing dangerous operations."
David Kim
Security Architect
TechCorp Industries

Start Building with CAI

Join the community of security researchers using CAI to build next-generation security tools and automate bug bounty hunting.

Get Started on GitHubRead Documentation