mirror of https://github.com/aliasrobotics/cai.git
236 lines
8.5 KiB
Markdown
236 lines
8.5 KiB
Markdown
# Available Models
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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.
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---
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## 🚀 Alias Robotics Models (CAI PRO Exclusive)
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### `alias1` - State-of-the-Art Cybersecurity Model
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<div class="highlight-box" markdown>
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**The most advanced cybersecurity AI model available.**
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`alias1` is our flagship 500B-parameter model, specifically trained and optimized for offensive and defensive security operations. Available exclusively with **[CAI PRO](cai_pro.md)**.
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**Key Features:**
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- ✅ **Beats GPT-5** in AI vs AI cybersecurity benchmarks
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- ✅ **Zero refusals** for authorized security testing
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- ✅ **Unrestricted** responses for pentesting engagements
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- ✅ **Unlimited tokens** included with CAI PRO subscription
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- ✅ **European hosting** with GDPR & NIS2 compliance
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- ✅ **500B parameters** optimized for security workflows
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**Performance Highlights:**
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- Top performer in CTF competitions
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- Superior exploit development capabilities
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- Advanced vulnerability analysis
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- Automated reconnaissance and enumeration
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- Bug bounty hunting optimization
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**Learn More:**
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- 📊 [View Benchmarks](https://aliasrobotics.com/alias1.php#benchmarking)
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- 📖 [Technical Details](https://aliasrobotics.com/alias1.php)
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- 🚀 [Upgrade to CAI PRO](cai_pro.md)
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</div>
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### `alias0` - Legacy Model (Deprecated)
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!!! warning "Model Deprecated"
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`alias0` is no longer available. All users should migrate to **`alias1`**, which offers superior performance, unrestricted capabilities, and continuous updates.
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**Migration:** If you're currently using `alias0`, simply update your configuration to use `alias1` with your CAI PRO subscription.
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[Learn about alias0 (historical reference) →](https://aliasrobotics.com/alias0.php)
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---
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## Community Models (300+ Available)
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CAI supports **over 300 models** through its integration with [LiteLLM](https://github.com/BerriAI/litellm). You can use any of these models by providing your own API keys.
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### Popular Model Providers
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#### Anthropic
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- **Claude 3.7** - Latest Anthropic model
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- **Claude 3.5 Sonnet** - Best for complex reasoning
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- **Claude 3 Opus** - Highest capability
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- **Claude 3 Haiku** - Fast and efficient
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**Configuration:**
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```bash
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export ANTHROPIC_API_KEY="sk-ant-..."
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export CAI_MODEL="claude-3-5-sonnet-20241022"
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```
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#### OpenAI
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- **O1** - Advanced reasoning model
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- **O1 Mini** - Cost-effective reasoning
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- **O3 Mini** - Latest mini model
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- **GPT-4o** - Optimized GPT-4
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- **GPT-4.5 Preview** - Enhanced capabilities
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**Configuration:**
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```bash
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export OPENAI_API_KEY="sk-..."
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export CAI_MODEL="gpt-4o"
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```
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#### DeepSeek
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- **DeepSeek V3** - Latest version
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- **DeepSeek R1** - Reasoning focused
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**Configuration:**
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```bash
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export DEEPSEEK_API_KEY="sk-..."
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export CAI_MODEL="deepseek-chat"
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```
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#### Ollama (Local Models)
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- **Qwen2.5 72B** - High performance
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- **Qwen2.5 14B** - Balanced capability
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- **Llama 3.1** - Meta's latest
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- **Mistral** - Efficient and fast
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- And 100+ more local models
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**Configuration:**
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```bash
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export OLLAMA_API_BASE="http://localhost:11434/v1"
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export CAI_MODEL="ollama/qwen2.5:72b"
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```
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---
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## Model Selection Guide
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!!! tip "📊 Based on CAIBench Research"
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Our model recommendations are based on rigorous evaluation using [**CAIBench**](https://arxiv.org/pdf/2510.24317), a modular meta-benchmark framework for evaluating LLM models and agents across offensive and defensive cybersecurity domains.
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**Research shows:** In [real-world CTF evaluations](https://arxiv.org/pdf/2510.17521), defensive agents achieved 54.3% patching success versus 28.3% offensive initial access, with `alias1` consistently outperforming general-purpose models.
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### For All Cybersecurity Work
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**✅ Always Recommended:** `alias1` (CAI PRO)
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- **Best performer** in [CAIBench](https://arxiv.org/pdf/2510.24317) evaluations
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- **Unrestricted** for authorized pentesting and security research
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- **Zero refusals** - designed specifically for offensive security
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- **Unlimited tokens** included with CAI PRO subscription
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- **Superior CTF performance** - validated in real-world scenarios
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- **Beats general-purpose models** (GPT-4o, Claude 3.5) in security tasks
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📖 **Learn more**: [CAI research demonstrates 3,600× performance gains](https://arxiv.org/pdf/2504.06017) over manual security testing in specific scenarios.
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---
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### Alternative Models (Community Edition)
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While `alias1` is always recommended for security work, the following models can be used with CAI Community Edition:
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#### For Local/Offline Testing
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**Alternative:** Ollama with Qwen2.5 72B
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- Complete privacy (no data leaves your machine)
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- No API costs
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- Good for testing and development
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- Requires local GPU resources
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- ⚠️ **Note:** Performance significantly below `alias1` for security tasks
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#### For Budget-Conscious Users
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**Alternative:** DeepSeek V3 or Ollama models
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- Lower API costs (DeepSeek)
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- Free local inference (Ollama)
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- Adequate performance for many tasks
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- ⚠️ **Note:** Not optimized for cybersecurity workflows
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---
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## Additional Integrations
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CAI is compatible with multiple model platforms and providers:
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- **[OpenRouter](providers/openrouter.md)** - Access to 200+ models via unified API
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- **[Ollama](providers/ollama.md)** - Local model hosting and inference
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- **[Azure OpenAI](providers/azure.md)** - Enterprise-hosted OpenAI models
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See the **Model Providers** section for detailed configuration guides.
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---
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## Comparison: alias1 vs Community Models
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| Feature | alias1 (CAI PRO) | Model1 | Model2 | Model3 |
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|---------|------------------|--------|------------|-------------|
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| **Cybersecurity Optimization** | ✅ Native | ⚠️ General | ⚠️ General | ⚠️ General |
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| **CTF Performance** | 🏆 Best | Good | Good | Fair |
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| **Refusals** | ✅ Zero | ❌ Many | ❌ Many | ⚠️ Some |
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| **Pentesting** | ✅ Unrestricted | ❌ Limited | ❌ Limited | ⚠️ Varies |
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| **Token Limits** | ✅ Unlimited | Pay per token | Pay per token | Free (local) |
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| **Privacy** | ✅ European GDPR | ⚠️ US-based | ⚠️ US-based | ✅ Local only |
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| **Support** | ✅ Professional | Community | Community | Community |
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| **Best For** | Pro security work | General tasks | Writing/analysis | Local testing |
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---
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## Getting Started
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### Using alias1 (CAI PRO)
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1. **Subscribe to CAI PRO**: [Upgrade here](cai_pro.md)
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2. **Configure your environment**:
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```bash
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export ALIAS_API_KEY="sk-your-caipro-key"
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export CAI_MODEL="alias1"
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```
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3. **Start using CAI**:
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```bash
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cai
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```
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### Using Community Models
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1. **Get API key** from your chosen provider
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2. **Configure environment**:
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```bash
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export OPENAI_API_KEY="sk-..." # or ANTHROPIC_API_KEY, etc.
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export CAI_MODEL="gpt-4o" # or your chosen model
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```
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3. **Start using CAI**:
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```bash
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cai
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```
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---
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## Need Help Choosing?
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!!! success "Our Recommendation: Always Use alias1"
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Based on [CAIBench benchmarks](https://arxiv.org/pdf/2510.24317) and [real-world CTF evaluations](https://arxiv.org/pdf/2510.17521), **`alias1` is the superior choice for all cybersecurity tasks**.
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**For any security work:** → `alias1` with [CAI PRO](cai_pro.md)
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### If CAI PRO is not an option:
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- **Privacy-focused?** → Ollama local models (lower performance)
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- **Budget-conscious?** → DeepSeek or Ollama (not optimized for security)
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⚠️ **Note:** Community models are not optimized for cybersecurity workflows and will have significantly reduced capabilities compared to `alias1`.
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---
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## Research & Validation
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CAI's effectiveness is validated through peer-reviewed research:
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- 📊 [**CAIBench**](https://arxiv.org/pdf/2510.24317) - Meta-benchmark framework for cybersecurity AI evaluation
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- 🎯 [**Agentic Cybersecurity Evaluation**](https://arxiv.org/pdf/2510.17521) - Real-world CTF performance analysis
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- 🚀 [**Cybersecurity AI Framework**](https://arxiv.org/pdf/2504.06017) - Core framework demonstrating 3,600× speedup
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- 🛡️ [**Prompt Injection Defense**](https://arxiv.org/pdf/2508.21669) - Four-layer guardrail security system
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- 📚 [**CAI Fluency**](https://arxiv.org/pdf/2508.13588) - Educational framework for democratizing AI security
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**Explore all research:** [Alias Robotics Research Papers](https://aliasrobotics.com/research-security.php#papers)
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Questions? Check our [FAQ](cai_faq.md) or [join our Discord](https://discord.gg/fnUFcTaQAC).
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