Metadata-Version: 2.1
Name: IncidentResponse
Version: 0.0.1
Summary: The IncidentResponse package streamlines the post-breach process, offering tools for data analysis, extraction, and notification management.
Author: Ranjeet Aloriya
Author-email: ranjeet.aloriya@gmail.com
Keywords: breach response,breach notification,notification lists,data consolidation,unique identifiers,affected parties,data merging,efficiency tools,duplicate notifications incident response,document review,data consolidation,unique identifiers,affected parties,data merging,efficiency tools,duplicate notifications,incident response,breach response
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Natural Language :: English
Classifier: Environment :: Console
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: polars
Requires-Dist: jupyter
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: xgboost
Requires-Dist: tensorflow
Requires-Dist: tensorboard

# IncidentResponse

## What IncidentResponse Does

The IncidentResponse package is an all-in-one solution designed to streamline the entire post-breach process. From data analysis to notifying affected parties, this package covers every aspect of incident response and data breach review.

## Key Features

- **User-Friendly API**: Simple methods for quick integration into your projects.
- **Data Analysis:** Efficiently analyze breach data to identify affected parties.
- **Data Breach Review/Incident Response:** Conduct thorough reviews to assess the breach and implement response strategies.
- **Cyber Data Mining:** Leverage advanced techniques to extract relevant data from various sources.
- **Manual Extraction:** Facilitate the manual extraction of information when needed.
- **Programmatic Extraction:** Automate data extraction processes for efficiency and accuracy.
- **Create Load File:** Generate load files for easy data management and integration.
- **Pre NL Validation Checks:** Perform validation checks to ensure data integrity before notification.
- **NL Creation (Notification List):** Create comprehensive notification lists of affected parties.
- **Notification Letters Generated:** Automatically generate notification letters tailored to individual cases.
- **Notified Affected Parties:** Ensure timely communication with all affected individuals.

## How to Install IncidentResponse

To install this package, run:

```bash
pip install IncidentResponse
```

## Get Started Using IncidentResponse

### Quick Code Demo

Here's a quick example to demonstrate how to use the package after installation:

```python
import IncidentResponse as ir

# Display help information
ir.help()
```

Output:
```
You will get contact information.
```


## Maintainer

- [Ranjeet Aloriya](https://www.linkedin.com/in/ranjeet-aloriya/)

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## How to Cite IncidentResponse

If you use IncidentResponse in your research or projects, please cite it as follows:

```
Your Name, Collaborator's Name. (Year). IncidentResponse: A Python Package for Breach Response Notifications. GitHub. URL
```

<!-- ## Contribution Guidelines

We welcome contributions to IncidentResponse! Please follow these guidelines:

1. **Fork the repository**: Create your own fork of the project.
2. **Create a feature branch**: Make a new branch for your feature or bug fix.
3. **Make your changes**: Implement your changes in your branch.
4. **Submit a pull request**: Once youâ€™re ready, submit a pull request for review.

For detailed contribution instructions, check the [CONTRIBUTING.md](link-to-contributing-file). -->

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) for more details.

---

Thank you for using IncidentResponse! We hope it simplifies your breach response efforts.
