Technology
Zero-Knowledge Architecture for Comprehensive AI Security
🔐
Zero-Knowledge Protocol
Your AI models, data, and prompts never leave your infrastructure. All tests run 100% locally.
How it works
1
Install
pip install rednblue
2
Authenticate
Secure token
3
Local Test
On your machine
4
Report
PDF + Certificate
Testing Domains
Computer Vision
- Gradient-based perturbation attacks
- Optimization-based attacks
- Detection evasion (YOLO)
- Gradient masking diagnostic
ResNet, VGG, MobileNet, EfficientNet, ViT, YOLO
Language Models (LLM)
- Jailbreak testing
- System prompt extraction
- Indirect injection
- Token manipulation
OpenAI, Anthropic, Gemini, Mistral, Cohere
RAG Pipelines
- Corpus poisoning
- Context stuffing
- Boundary probing
- RAG injection
LangChain, LlamaIndex, ChromaDB, Pinecone
AI Agents
- Tool hijacking
- Goal drift
- Privilege escalation
AutoGen, CrewAI, LangChain Agents
Backdoor Detection
- Consistency testing (STRIP)
- Trigger enumeration
- Sensitivity probing
IP Protection
- Extraction feasibility
- Model fingerprinting
- Consistency analysis
Security & Compliance
AES-256
End-to-end encryption
EU Hosting
Scaleway, France
RGPD
Compliant
EU AI Act
Article 15 ready