Metadata-Version: 2.4
Name: intelflow
Version: 1.0.0
Summary: A high-performance hybrid AI-verification engine for the 2026 data era.
Author: Sundaram Gupta
License-Expression: MIT
Project-URL: Homepage, https://github.com/Sundaram-Gupta/intelflow
Keywords: ai,security,cpp,verification,entropy
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Security
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Requires-Python: >=3.10
Description-Content-Type: text/markdown

# 🛡️ 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
```python
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
