NIST CSF Assessment Report - Acme Healthcare Systems

Overview

This repository contains a comprehensive NIST Cybersecurity Framework (CSF) 2.0 assessment report for Acme Healthcare Systems, a healthcare services provider serving a metropolitan area. The assessment evaluates the organization's cybersecurity posture across all NIST CSF core functions using both AI-driven and human analysis approaches.

Repository Structure

├── report/
│   └── NIST_CSF_Assessment_Report.pdf
├── figures/
│   ├── company_organizational_chart.png
│   └── nist_csf_functions.png
├── references/
│   └── bibliography.md
└── README.md

Executive Summary

The assessment covers a healthcare organization with approximately 500 professionals, analyzing its cybersecurity controls and risks across seven major departments:

• Medical Department
• Administrative Department
• Information Technology (IT) Department
• Human Resources (HR) Department
• Finance Department
• Procurement and Supply Chain Department
• Quality Assurance and Compliance Department

Assessment Framework

The analysis follows the NIST CSF 2.0 core functions:

1. Govern (GV)
2. Identify (ID)
3. Protect (PR)
4. Detect (DE)
5. Respond (RS)
6. Recover (RC)

Methodology

The assessment combines:

• AI-driven analysis using Claude.ai (Sonnet and Opus models)
• Human expert analysis and validation
• NIST CSF 2.0 guidelines and best practices
• Healthcare industry-specific considerations

Key Findings

The report provides detailed analysis across multiple critical areas:

• Asset Management
• Risk Assessment
• Identity and Access Management
• Continuous Monitoring
• Incident Response
• Recovery Planning

Usage

This report serves as:

• A baseline assessment of current cybersecurity posture
• A guide for implementing security improvements
• A reference for compliance with healthcare regulations
• A framework for ongoing security monitoring and enhancement

Compliance Context

The assessment takes into account critical healthcare compliance requirements:

• HIPAA compliance
• Patient data privacy
• Healthcare industry regulations
• Data protection standards

Contributing

For updates or contributions to this assessment:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request with detailed description of changes
4. Ensure all changes align with NIST CSF 2.0 guidelines

References

1. NIST CSF 2.0 Documentation
2. Pan Dhoni, R. K. - "Synergizing Generative AI and Cybersecurity"
3. Gupta CharanKumar Akiri, K. A. E. P. L. P. - "Roles of Generative AI Entities"
4. NIST CSF Laboratory Resources
5. Security and Risk 2023-2024 Course Materials