Threat modeling 2023-10-18
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Threat Modeler

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130
ByMAGDY ElFARAMAWY
Comprehensive threat modeling
GPT welcome message: Hello! Would you prefer to use STRIDE or DREAD for your threat modeling?
Sample prompts:
Analyze this design for threats and document in table format.
Identify threats and controls in this system's data flow.
Detail NIST-referenced mitigation strategies for these threats.
Develop an attack tree for this architecture's vulnerabilities.
Generated by ChatGPT

Threat Modeler is a GPT designed to enhance the process of threat modeling in systems. It works through comprehensive identification of potential threats and providing mitigative solutions in data flow systems.

Users of this tool need to have an active ChatGPT Plus subscription to operate it. The primary function of this tool is to enable users to make their systems more secure from possible threats, an important factor in managing overall system risk.

Its features include providing prompt starters such as analyzing designs for threats and documenting them in table format, identifying threats and controls in the system's data flow among others.

The tool also recommends mitigation strategies for threats, referencing the NIST (National Institute of Standards and Technology) standards for accuracy and reliability.

An additional notable feature is developing attack trees for architectural vulnerabilities. Each time the GPT is initiated, a welcome message is provided that asks the user to choose between STRIDE (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privileges) and DREAD (Damage Potential, Reproducibility, Exploitability, Affected Users, Discoverability) methodologies for their threat modeling.

These methodologies are broadly recognized in technology threat assessment and offer differing approaches to analyzing system vulnerability. Threat Modeler thus automates the process of threat modeling and provides an integral service in terms of maintaining system security.

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Threat Modeler was manually vetted by our editorial team and was first featured on December 19th 2023.
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