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Attack Surface Determination: Understanding Trust Boundaries in Threat Modeling

Trust boundaries are critical to attack surface determination, representing points where data moves between systems, networks, or components with varying levels of trust. Trust boundaries

Attack Surface Determination: Code Reviews in Threat Modeling

Code reviews are a fundamental part of attack surface determination within threat modeling, providing a method for identifying vulnerabilities early in the software development lifecycle.

Attack Surface Determination: User Factors in Threat Modeling

User factors play a critical role in attack surface determination by accounting for how user access, behaviors, and roles impact organizational security. Within CompTIA SecurityX

Attack Surface Determination in Organizational Change: Mergers, Acquisitions, Divestitures, and Staffing Changes

Organizational changes, such as mergers, acquisitions, divestitures, and staffing transitions, can significantly impact a company’s attack surface. During these transitions, new assets, personnel, and systems

Attack Surface Determination: Enumeration and Discovery in Threat Modeling

A comprehensive approach to threat modeling begins with attack surface determination—analyzing and understanding every point where potential attackers could interact with an organization’s systems. This

Attack Trees and Graphs in Threat Modeling: A Structured Approach to Security Analysis

Attack trees and graphs are structured methods used in threat modeling to visualize potential attack paths and assess system vulnerabilities. By breaking down attacks into

Antipatterns in Threat Modeling: Understanding and Avoiding Security Pitfalls

In threat modeling, antipatterns refer to common design or implementation choices that appear beneficial but, in practice, lead to unintended vulnerabilities or inefficiencies. Recognizing these

Abuse Cases: A Key Method in Threat Modeling for CompTIA SecurityX

In threat modeling, abuse cases are a critical tool for identifying how an application, system, or process could be misused by malicious actors. Unlike typical

Modeling the Applicability of Threats to an Organization’s Environment: Practical Approaches for SecurityX Certification

In threat modeling, one of the most critical steps for a security professional is assessing how identified threats apply specifically to the organization’s systems and

Legal and Privacy Implications: Potential Misuse of AI

The rapid adoption of AI technology brings not only numerous benefits but also significant risks of misuse. Potential misuse of AI—from privacy violations to malicious

Legal and Privacy Implications: Explainable vs. Non-Explainable Models

The adoption of AI in sensitive areas like finance, healthcare, and law enforcement requires careful consideration of model transparency and accountability. Explainable models are those

Legal and Privacy Implications: Organizational Policies on the Use of AI

The widespread adoption of artificial intelligence (AI) in organizational environments introduces unique security and privacy challenges. Organizational policies on the use of AI play a

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