Available Models
The Cybersecurity AI (CAI) platform provides seamless integration with multiple Large Language Models (LLMs). This functionality allows users to leverage state-of-the-art AI capabilities for various cybersecurity tasks. CAI acts as a bridge between your security workflows and a wide range of LLMs, enhancing both flexibility and performance of AI agents.
🚀 Alias Robotics Models (CAI PRO Exclusive)
alias1 - State-of-the-Art Cybersecurity Model
The most advanced cybersecurity AI model available.
alias1 is our flagship 500B-parameter model, specifically trained and optimized for offensive and defensive security operations. Available exclusively with CAI PRO.
Key Features: - ✅ Beats GPT-5 in AI vs AI cybersecurity benchmarks - ✅ Zero refusals for authorized security testing - ✅ Unrestricted responses for pentesting engagements - ✅ Unlimited tokens included with CAI PRO subscription - ✅ European hosting with GDPR & NIS2 compliance - ✅ 500B parameters optimized for security workflows
Performance Highlights: - Top performer in CTF competitions - Superior exploit development capabilities - Advanced vulnerability analysis - Automated reconnaissance and enumeration - Bug bounty hunting optimization
Learn More: - 📊 View Benchmarks - 📖 Technical Details - 🚀 Upgrade to CAI PRO
alias0 - Legacy Model (Deprecated)
Model Deprecated
alias0 is no longer available. All users should migrate to alias1, which offers superior performance, unrestricted capabilities, and continuous updates.
Migration: If you're currently using alias0, simply update your configuration to use alias1 with your CAI PRO subscription.
Community Models (300+ Available)
CAI supports over 300 models through its integration with LiteLLM. You can use any of these models by providing your own API keys.
Popular Model Providers
Anthropic
- Claude 3.7 - Latest Anthropic model
- Claude 3.5 Sonnet - Best for complex reasoning
- Claude 3 Opus - Highest capability
- Claude 3 Haiku - Fast and efficient
Configuration:
export ANTHROPIC_API_KEY="sk-ant-..."
export CAI_MODEL="claude-3-5-sonnet-20241022"
OpenAI
- O1 - Advanced reasoning model
- O1 Mini - Cost-effective reasoning
- O3 Mini - Latest mini model
- GPT-4o - Optimized GPT-4
- GPT-4.5 Preview - Enhanced capabilities
Configuration:
export OPENAI_API_KEY="sk-..."
export CAI_MODEL="gpt-4o"
DeepSeek
- DeepSeek V3 - Latest version
- DeepSeek R1 - Reasoning focused
Configuration:
export DEEPSEEK_API_KEY="sk-..."
export CAI_MODEL="deepseek-chat"
Ollama (Local Models)
- Qwen2.5 72B - High performance
- Qwen2.5 14B - Balanced capability
- Llama 3.1 - Meta's latest
- Mistral - Efficient and fast
- And 100+ more local models
Configuration:
export OLLAMA_API_BASE="http://localhost:11434/v1"
export CAI_MODEL="ollama/qwen2.5:72b"
Model Selection Guide
📊 Based on CAIBench Research
Our model recommendations are based on rigorous evaluation using CAIBench, a modular meta-benchmark framework for evaluating LLM models and agents across offensive and defensive cybersecurity domains.
Research shows: In real-world CTF evaluations, defensive agents achieved 54.3% patching success versus 28.3% offensive initial access, with alias1 consistently outperforming general-purpose models.
For All Cybersecurity Work
✅ Always Recommended: alias1 (CAI PRO)
- Best performer in CAIBench evaluations
- Unrestricted for authorized pentesting and security research
- Zero refusals - designed specifically for offensive security
- Unlimited tokens included with CAI PRO subscription
- Superior CTF performance - validated in real-world scenarios
- Beats general-purpose models (GPT-4o, Claude 3.5) in security tasks
📖 Learn more: CAI research demonstrates 3,600× performance gains over manual security testing in specific scenarios.
Alternative Models (Community Edition)
While alias1 is always recommended for security work, the following models can be used with CAI Community Edition:
For Local/Offline Testing
Alternative: Ollama with Qwen2.5 72B
- Complete privacy (no data leaves your machine)
- No API costs
- Good for testing and development
- Requires local GPU resources
- ⚠️ Note: Performance significantly below alias1 for security tasks
For Budget-Conscious Users
Alternative: DeepSeek V3 or Ollama models - Lower API costs (DeepSeek) - Free local inference (Ollama) - Adequate performance for many tasks - ⚠️ Note: Not optimized for cybersecurity workflows
Additional Integrations
CAI is compatible with multiple model platforms and providers:
- OpenRouter - Access to 200+ models via unified API
- Ollama - Local model hosting and inference
- Azure OpenAI - Enterprise-hosted OpenAI models
See the Model Providers section for detailed configuration guides.
Comparison: alias1 vs Community Models
| Feature | alias1 (CAI PRO) | Model1 | Model2 | Model3 |
|---|---|---|---|---|
| Cybersecurity Optimization | ✅ Native | ⚠️ General | ⚠️ General | ⚠️ General |
| CTF Performance | 🏆 Best | Good | Good | Fair |
| Refusals | ✅ Zero | ❌ Many | ❌ Many | ⚠️ Some |
| Pentesting | ✅ Unrestricted | ❌ Limited | ❌ Limited | ⚠️ Varies |
| Token Limits | ✅ Unlimited | Pay per token | Pay per token | Free (local) |
| Privacy | ✅ European GDPR | ⚠️ US-based | ⚠️ US-based | ✅ Local only |
| Support | ✅ Professional | Community | Community | Community |
| Best For | Pro security work | General tasks | Writing/analysis | Local testing |
Getting Started
Using alias1 (CAI PRO)
- Subscribe to CAI PRO: Upgrade here
- Configure your environment:
export ALIAS_API_KEY="sk-your-caipro-key" export CAI_MODEL="alias1" - Start using CAI:
cai
Using Community Models
- Get API key from your chosen provider
- Configure environment:
export OPENAI_API_KEY="sk-..." # or ANTHROPIC_API_KEY, etc. export CAI_MODEL="gpt-4o" # or your chosen model - Start using CAI:
cai
Need Help Choosing?
Our Recommendation: Always Use alias1
Based on CAIBench benchmarks and real-world CTF evaluations, alias1 is the superior choice for all cybersecurity tasks.
For any security work: → alias1 with CAI PRO
If CAI PRO is not an option:
- Privacy-focused? → Ollama local models (lower performance)
- Budget-conscious? → DeepSeek or Ollama (not optimized for security)
⚠️ Note: Community models are not optimized for cybersecurity workflows and will have significantly reduced capabilities compared to alias1.
Research & Validation
CAI's effectiveness is validated through peer-reviewed research:
- 📊 CAIBench - Meta-benchmark framework for cybersecurity AI evaluation
- 🎯 Agentic Cybersecurity Evaluation - Real-world CTF performance analysis
- 🚀 Cybersecurity AI Framework - Core framework demonstrating 3,600× speedup
- 🛡️ Prompt Injection Defense - Four-layer guardrail security system
- 📚 CAI Fluency - Educational framework for democratizing AI security
Explore all research: Alias Robotics Research Papers
Questions? Check our FAQ or join our Discord.