How deeply does AI for Everyday IT cover fuzzing?

Defines the purpose and target areas but stops short of specifying fuzzing tools, input-generation methods, or execution procedures.

Fuzzing

As explained in AI for Everyday IT

Fuzz testing is a software-testing technique that supplies automatically generated, malformed, or unexpected inputs to find failures and vulnerabilities.

Fuzz testing supplies software with malformed or unexpected inputs to expose failures and vulnerabilities. It is especially useful as a security check for AI-generated code, alongside careful human review. section 11.9.1

Use fuzz testing when reviewing code that:

Handles authentication, data access, or user input, where unexpected inputs can create security problems. section 11.9.1
Was generated or modified by an AI assistant and therefore requires the same security standards and review process as human-written code. section 11.9.1

Practical review

After an AI assistant produces code for a login or data-access component, run security scanners and fuzz testing before treating the implementation as ready. Use the results to guide human review rather than assuming generated code is safe. section 11.9.1

How AI for Everyday IT covers it

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Also explained in

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Secure APIsFuzzing is software testing that supplies varied, malformed, or unexpected inputs to discover faults and vulnerabilities.
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Hacking CryptographyFuzzing tests software by automatically generating or mutating inputs, often including malformed inputs, to expose failures and vulnerabilities.
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Code Like a Pro in RustFuzz testing is a software-testing technique that exercises programs with automatically generated or mutated inputs to reveal unexpected behavior, including failures caused by invalid data.
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Automating API DeliveryFuzz testing is a technique that tests software by generating and submitting random, malformed, or semi-malformed inputs to expose defects.
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Go in Action, Second EditionFuzzing automatically tests software with generated or mutated inputs to find failures and unexpected behavior.
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Go in Practice, Second EditionFuzz testing is software testing that exercises a program with varied, automatically generated inputs to reveal unexpected behavior.

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Related concepts

property-based testingcontrasts with · Property-based testing is a software-testing technique that generates varied inputs and checks whether specified general properties of the software’s behavior hold across them.
testproduces · A test is a procedure or check that evaluates behavior using specified inputs or evidence against expected results or criteria.
corpususes · A corpus is an organized collection of documents, texts, or other language data assembled for processing, retrieval, analysis, training, or evaluation.
Schemathesisused by · Schemathesis is an open-source tool that generates and executes property-based tests for web APIs from API schemas such as OpenAPI definitions.
libraryused by · A software library is a reusable collection of code or components that other programs can incorporate or invoke to provide functionality.

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.