# Benchmarking Overview CAIBench is a comprehensive meta-benchmark framework designed to rigorously evaluate cybersecurity AI agents across multiple domains. This framework enables standardized assessment of AI models and agents in both offensive and defensive security scenarios. ``` ╔═══════════════════════════════════════════════════════════════════════════════╗ ║ 🛡️ CAIBench Framework ⚔️ ║ ║ Meta-benchmark Architecture ║ ╚═══════════════════════════════════════════════════════════════════════════════╝ │ ┌─────────────────────────────────┼────────────────────┐ │ │ │ 🏛️ Categories 🚩 Difficulty 🐳 Infrastructure │ │ │ ┌─────────────────┼───────────────────┐ │ │ │ │ │ │ │ │ │ 1️⃣ 2️⃣ 3️⃣ 4️⃣ 5️⃣ │ │ Jeopardy A&D Cyber Knowledge Privacy │ Docker CTF CTF Range Bench Bench │ Containers │ │ │ │ │ │ ┌──┴──┐ ┌──┴──┐ ┌──┴──┐ ┌──┴──┐ ┌──┴──┐ │ Base A&D Cyber SecEval CyberPII-Bench │ Cybench Ranges CTIBench │ RCTF2 CyberMetric │ AutoPenBench │ 🚩───────🚩🚩───────🚩🚩🚩───────🚩🚩🚩🚩───────🚩🚩🚩🚩🚩 Beginner Novice Graduate Professional Elite ``` --- ## 📊 Benchmark Results Overview
Best Performance in Agent vs Agent A&D Model Performance in Jeopardy CTFs
A&D Performance Jeopardy CTF Performance
Model Performance in Privacy Benchmark Overall Model Performance
Privacy Benchmark Overall Performance
**Key Insights from Benchmark Results:** - 🥇 **alias1 dominates Attack & Defense CTFs** - Best offensive and defensive capabilities - 🥇 **alias1 leads in Jeopardy-style CTFs** - Superior performance across all challenge types - 🥇 **alias1 excels in privacy protection** - Highest F2 scores for PII handling - 🥇 **alias1 shows balanced excellence** - Consistent top performance across all benchmark categories --- ## 🎯 What is CAIBench? CAIBench is a **meta-benchmark** (benchmark of benchmarks) that: - ✅ Evaluates AI agents across **offensive** and **defensive** security domains - ✅ Uses **Docker containers** for reproducibility and isolation - ✅ Provides **standardized metrics** for comparing AI models - ✅ Covers **real-world scenarios** from CTFs, cyber ranges, and security operations - ✅ Includes **privacy-aware** evaluation with PII handling benchmarks --- ## 📚 Research Foundation CAIBench is backed by peer-reviewed research: !!! tip "Core Research Papers" 📊 [**CAIBench: Cybersecurity AI Benchmark**](https://arxiv.org/pdf/2510.24317) (2025) Modular meta-benchmark framework for evaluating LLM models and agents across offensive and defensive cybersecurity domains. 🎯 [**Evaluating Agentic Cybersecurity in Attack/Defense CTFs**](https://arxiv.org/pdf/2510.17521) (2025) Real-world evaluation showing defensive agents achieved **54.3% patching success** versus **28.3% offensive initial access**. **[View full research library →](https://aliasrobotics.com/research-security.php#papers)** **[Browse benchmark source code →](https://github.com/aliasrobotics/cai/tree/main/benchmarks)** --- ## 🏆 Performance Highlights ### alias1 - Best-in-Class Performance Based on CAIBench evaluations, **`alias1`** consistently outperforms all other models across cybersecurity benchmarks: !!! success "alias1 Performance" - 🥇 **#1 in Attack & Defense CTFs** - Superior offensive and defensive capabilities - 🥇 **#1 in Jeopardy-style CTFs** - Best performance across web, pwn, crypto, forensics challenges - 🥇 **#1 in Cyber Range scenarios** - Highest success rate in realistic environments - 🥇 **Zero refusals** - Unrestricted responses for authorized security testing **[See detailed benchmark results →](attack_defense.md)** **[Learn more about alias1 →](../cai_pro.md)** --- ## 📊 Benchmark Categories CAIBench evaluates AI agents across five categories: ### 1. Jeopardy-style CTFs Independent challenges in cryptography, web exploitation, binary reversing, forensics, and more. **[Learn more →](jeopardy_ctfs.md)** ### 2. Attack & Defense CTFs Real-time competitive environments where agents must simultaneously attack opponents and defend their own systems. **[Learn more →](attack_defense.md)** ### 3. Cyber Range Exercises Realistic training environments with complex multi-system scenarios involving incident response and security operations. **[Learn more →](cyber_ranges.md)** ### 4. Cybersecurity Knowledge Question-answering benchmarks evaluating understanding of security concepts, threat intelligence, and vulnerability analysis. **[Learn more →](knowledge_benchmarks.md)** ### 5. Privacy Benchmarks Assessment of AI models' ability to handle sensitive information and properly manage Personally Identifiable Information (PII). **[Learn more →](privacy_benchmarks.md)** --- ## 🚩 Difficulty Levels Benchmarks are classified across five difficulty levels: | Level | Persona | Target Audience | |-------|---------|-----------------| | 🚩 Very Easy | Beginner | High school students, cybersecurity beginners | | 🚩🚩 Easy | Novice | Individuals familiar with basic security concepts | | 🚩🚩🚩 Medium | Graduate Level | College students, security undergraduates/graduates | | 🚩🚩🚩🚩 Hard | Professional | Working penetration testers, security professionals | | 🚩🚩🚩🚩🚩 Very Hard | Elite | Advanced security researchers, elite participants | --- ## 🚀 Getting Started Ready to run benchmarks? Check out: - **[Running Benchmarks](running_benchmarks.md)** - Setup and usage instructions - **[Attack & Defense Results](attack_defense.md)** - See alias1's superior performance - **[GitHub Repository](https://github.com/aliasrobotics/cai/tree/main/benchmarks)** - Source code and examples --- ## 💡 Why Benchmarking Matters Rigorous benchmarking is essential for: - 📈 **Measuring Progress** - Track improvements in AI security capabilities over time - 🔬 **Research Validation** - Provide scientific evidence for security AI effectiveness - 🏆 **Model Comparison** - Enable objective comparison between AI models - 🛡️ **Real-world Readiness** - Validate agents before deploying in production environments - 🎓 **Educational Value** - Help researchers understand AI strengths and limitations CAIBench provides the most comprehensive evaluation framework for cybersecurity AI, validated through peer-reviewed research and real-world CTF competitions.