nextgen-mft 0.2.1

Secure, AI-powered Managed File Transfer (SFTP/HTTPS + Crypto + Anomaly Detection)

nextgen-mft

nextgen-mft is a modular Python library designed for building secure, intelligent, and automated file transfer systems. It enables seamless SFTP, HTTPS, and AI-driven anomaly detection, along with powerful cryptographic utilities like RSA, ECDHE, ChaCha20, and X.509 certificate handling.

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Key Features

SFTP & HTTPS Transfers

• Upload/download files securely over SFTP and HTTPS
• SSH key authentication and TLS client cert support

AI-Powered Anomaly Detection

• Detect abnormal transfer behaviors using IsolationForest
• Simple API for training and scoring

Strong Cryptography

• Generate RSA, ECDHE, and DH keys
• AES (CBC) and ChaCha20 encryption support
• Load/save certificates and keys in PEM

Command-Line Interface (CLI)

• Built-in CLI using Typer
• Easily upload files, generate keys, and run anomaly detection

Production-Ready

• Modular architecture
• Ready for pipelines, automation, and cloud workflows

Use Cases

• Enterprise Managed File Transfer (MFT) systems
• Secure partner integrations via HTTPS/SFTP
• Compliance-driven cryptographic workflows
• Real-time anomaly detection in file movements
• CLI-based DevOps automation

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H2 Installation

H3 Recommended process

There are several different ways to install nextgen-mft. However it is recommended to both install and use the package inside python virtual environment.

At the command line using "pip"

$ pip install nextgen-mft

Or, if you have virtualenvwrapper installed.

$ mkvirtualenv nextgen-mft
$ python3 -m pip install nextgen-mft

Installation with package manager

Alternatively it is possible to install nextgen-mft using package manager.

Such as yum or dnf…

## Quick CLI Usage

Upload a file via SFTP

$ python3 -m nextgen_mft.cli.main sftp-upload
--host sftp.example.com
--username user
--key-file ~/.ssh/id_rsa
--local-file ./file.txt
--remote-path /inbox/file.txt

Detect anomalies from file transfer logs

$ python3 -m nextgen_mft.cli.main detect-anomalies
--train-file train_data.json
--test-file new_data.json

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## **Project Structure**

nextgen_mft/ ├── transfer/ # SFTP & HTTPS clients ├── security/ # Crypto utils (AES, RSA, ChaCha20, X.509) ├── ai/ # ML anomaly detection ├── cli/ # Typer-based CLI

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##  **Dependencies**

- paramiko  
- requests  
- cryptography  
- scikit-learn  
- pandas  
- numpy  
- typer

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## **License**

MIT License © Raghava Chellu

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## **Project Links**

- PyPI: [https://pypi.org/project/nextgen-mft](https://pypi.org/project/nextgen-mft)
- Docs: *coming soon*
- Support: *via GitHub issues or email*