What is threat mitigation mapping?

It is the process of linking identified security vulnerabilities and threats to specific technical or administrative controls designed to prevent, detect, or correct them.

What layers of security does this skill cover?

It covers the entire stack, including network, application, data, endpoint, process, and physical security layers for comprehensive protection.

How does it calculate security coverage?

The skill uses a scoring model based on the implementation status and inherent effectiveness of each mapped control to provide a quantifiable coverage percentage for any given threat.

Can this skill help with compliance requirements?

Yes, the skill includes references to major compliance standards such as PCI-DSS, NIST, and GDPR, helping you map controls to specific regulatory needs.

Threat Mitigation Mapping

Name: Threat Mitigation Mapping
Author: Tahir-yamin

byTahir-yamin

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安全与测试

Maps identified security threats to specific technical and process-based controls to create actionable remediation plans.

关于

This skill provides a structured framework for connecting identified security threats to appropriate defensive measures across multiple infrastructure layers. It helps developers and security engineers prioritize investments, design defense-in-depth architectures, and validate the effectiveness of existing controls. By utilizing predefined Python templates and a comprehensive control library, users can generate detailed mitigation models that calculate coverage scores, identify architectural gaps, and ensure compliance with standards like PCI-DSS, NIST, and GDPR. It is particularly effective during security architecture reviews or when building risk treatment plans for complex full-stack applications.

主要功能

Multi-layer defense modeling across Network, App, Data, and Endpoints
Gap analysis for identifying missing defense-in-depth layers
3 GitHub stars
Automated coverage scoring based on implementation and effectiveness
Standardized control categorization (Preventive, Detective, Corrective)
Pre-built library of common controls including MFA, WAF, and Encryption

使用场景

Prioritizing security investments and creating remediation roadmaps
Designing defense-in-depth architectures for cloud-native applications
Validating control coverage against compliance frameworks like SOC2 or PCI-DSS

关于

主要功能

Multi-layer defense modeling across Network, App, Data, and Endpoints
Gap analysis for identifying missing defense-in-depth layers
3 GitHub stars
Automated coverage scoring based on implementation and effectiveness
Standardized control categorization (Preventive, Detective, Corrective)
Pre-built library of common controls including MFA, WAF, and Encryption

使用场景

Prioritizing security investments and creating remediation roadmaps
Designing defense-in-depth architectures for cloud-native applications
Validating control coverage against compliance frameworks like SOC2 or PCI-DSS