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Enterprise Security Control Validation Framework

License Python Status Focus

Overview

This repository demonstrates a structured, enterprise-focused approach to defining, validating, and continuously measuring security control effectiveness across endpoint and infrastructure environments.

The framework models how modern organizations can:

  • Define measurable technical security controls
  • Map controls to adversarial techniques (MITRE ATT&CK)
  • Validate detection hypotheses using controlled simulation
  • Track detection performance and drift over time
  • Score control maturity
  • Enable continuous validation through policy-as-code principles

This project is conceptual and designed to illustrate enterprise security validation architecture, not to execute offensive operations.


Why This Matters

Security controls degrade silently over time due to:

  • Configuration drift
  • Rule changes
  • Infrastructure updates
  • Agent version changes
  • Logging pipeline failures

Continuous validation ensures:

  • Controls remain effective
  • Detection latency remains within defined thresholds
  • Telemetry forwarding remains intact
  • High-risk techniques remain covered

Key Components

1. Control Definition

A structured matrix defining enterprise security controls and associated detection objectives.

2. MITRE Mapping

Controls are mapped to relevant MITRE ATT&CK techniques to ensure adversarial coverage.

3. Detection Hypothesis Modeling

Each control includes a defined detection hypothesis: If technique X occurs, control Y must generate signal Z within time T.

4. Validation Playbooks

Controlled simulation models for:

  • Windows EDR validation
  • macOS endpoint validation
  • Email phishing detection
  • Lateral movement detection

5. Control Maturity Model

Security controls are scored from Level 1 (Telemetry Exists) to Level 5 (Continuous Validation with Drift Detection).

6. Automation Model

A lightweight validation runner demonstrates how policy-driven validation can be orchestrated programmatically.


Conceptual Architecture

Security validation must be:

  • Measurable
  • Repeatable
  • Automated
  • Resistant to silent degradation

This framework demonstrates how enterprise security teams can move from periodic testing to continuous validation.


Disclaimer

This repository does not contain exploit code or weaponized tooling. All scenarios are conceptual models intended for security architecture and validation demonstration purposes.

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Enterprise security control validation framework with MITRE mapping, detection hypothesis modeling, and continuous assurance design.

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