Technology

Local-First Architecture for Comprehensive AI Security

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Local Execution Protocol

Your model's weights, architecture, and training data never leave your infrastructure. All tests run 100% locally — for LLM, RAG, and Agent testing, the encrypted result includes the test probes and brief response excerpts needed to substantiate your report.

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

Audio & Speech Models

  • Adversarial audio perturbations
  • Transcription attacks (ASR)
  • Voice vulnerability detection
  • Ambient noise robustness

Whisper, Wav2Vec2, SpeechBrain, custom ASR pipelines

Security & Compliance

AES-256

End-to-end encryption

EU Hosting

Scaleway, France

RGPD

Compliant

EU AI Act

Article 15 ready

Documentation