A high-performance hybrid AI-verification engine for the 2026 data era.
Project description
🛡️ IntelFlow
IntelFlow is a high-speed hybrid library that acts as a security layer for AI systems. It prevents "Synthetic Data Injection" by validating data streams against physical reality.
⚡ Key Features
- Hybrid Core: Python API with a high-speed C++ engine.
- Entropy Mapping: Detects if data is natural or AI-generated.
- Auto-Mitigation: Automatically quarantines suspicious sources.
🛠️ Usage
from intelflow.core import IntelFlow
engine = IntelFlow()
# Check for synthetic anomalies
result = engine.secure_anchor({"entropy": 0.15, "intensity": 0.9})
print(result) # Output: REJECTED
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