How deeply does Build AI-Enhanced Web Apps cover threat model?

Defines a three-part inspection process covering endpoints, input locations, and data sensitivity, then connects findings to validation priorities.

Threat model

As explained in Build AI-Enhanced Web Apps

A threat model is a structured process for identifying potential vulnerabilities and assessing which application components are most at risk.

A threat model is a structured process for identifying application vulnerabilities and assessing which components face the greatest risk. It provides the starting point for securing AI applications before validating or processing user data. section 9.1.1 section 9.7

Build the model around three inspection areas:

Public endpoints: find every endpoint external users can access, including page POST requests in React server-component applications and API routes in earlier architectures. section 9.1.1
User input points: locate forms, API requests, and other places where external data enters the application. section 9.1.1
Data sensitivity: prioritize inputs that could expose personal or sensitive information, including emails, passwords, IPs, and special identifiers. section 9.1.1

Threat-model pass for an AI chat endpoint

Enumerate the chat endpoint, identify its prompt input, and classify the data it accepts. Use those findings to prioritize server-side validation before the prompt reaches application or model-processing logic; client checks can improve the experience but must not be the security boundary. section 9.1.1 section 9.7

How Build AI-Enhanced Web Apps covers it

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Also explained in

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Secure APIsA threat model is a structured representation of a system's potential threats, attack paths, vulnerabilities, and impacts.
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AI-Powered Developer: Build software with ChatGPT and CopilotA threat model is a documented representation of a system's potential threats, vulnerabilities, effects, and mitigation strategies.
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Real-World CryptographyA threat model is a structured description of the assets, adversaries, capabilities, and attack scenarios relevant to a system's security.
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Data-Driven CybersecurityThreat modeling is a structured analysis of possible threats, attack paths, vulnerabilities, and mitigations for a system or design.
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Automating API DeliveryThreat modeling is the systematic identification and analysis of threats, vulnerabilities, likelihood, impact, controls, and countermeasures affecting a software system.
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Cyber Threat HuntingThreat modeling is the systematic analysis of threats, attack methods, assets, and potential attack paths affecting a system or organization.

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Related concepts

STRIDEincludes · STRIDE is a threat-modeling methodology that classifies threats as spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege.
securityuses · The protection of systems, information, resources, and operations against unauthorized access, use, disclosure, alteration, disruption, or destruction.
trust boundaryuses · A trust boundary is a separation across which assumptions about the trust, authority, control, or security of components, data, or actions change.
application decompositionhas part · Application decomposition is the analysis of an application’s structure, components, and interactions for security assessment.
attack vectoraddresses · An attack vector is a path, method, or mechanism through which an adversary can reach a target or carry out an attack.

This explainer was generated by Manning's knowledge graph from the text of Build AI-Enhanced Web Apps. The section links point to the parts of the book it draws on.