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Penetration Testing AI

Penetration testing is an authorized, scoped assessment that simulates how an attacker might compromise a system, so the owner can fix the weaknesses first. It is defined by its authorization: a real engagement has a scope, rules of engagement, and written permission before any testing begins.

MAKEIY is an assistant for testers who already have that authorization — it is not an autonomous tool that goes out and attacks systems on its own. It can help you structure a methodology, reason about a class of finding, interpret the output of tools you run, and write up results in a way a stakeholder can understand and act on. You remain responsible for staying in scope and following the rules of engagement.

How MAKEIY helps

Guides

A web application testing workflowA structured methodology for authorized web application testing — mapping the app, testing by vulnerability class, verifying findings, and documenting results a team can act on.API security testing basicsWhat makes API testing different from web-page testing — understanding the contract, testing authorization on every endpoint, and why broken object-level access is so common.

Key terms

Penetration testingAn authorized, scoped assessment that simulates real attacks against a system so its owner can find and fix weaknesses first. A legitimate penetration test always has defined scope, rules of engagement, and written permission before any testing begins.VulnerabilityA flaw or weakness in a system that could be exploited to compromise its confidentiality, integrity, or availability. Not every vulnerability is equally serious; severity depends on how easily it can be exploited and what the impact would be.RemediationThe action taken to resolve a vulnerability — such as applying a patch, changing a configuration, or adding a control. A good vulnerability report includes remediation guidance so the owner knows not just what is wrong but how to fix it.Responsible disclosureThe practice of reporting a discovered vulnerability privately to the affected organization and giving it reasonable time to fix the issue before any public discussion. Also called coordinated disclosure; it prioritizes protecting users over publicity.

Related topics

Vulnerability Analysis AIUsing an AI assistant to make sense of vulnerabilities — reading CVE records, understanding CVSS severity, mapping to CWE weakness types, and prioritizing what to fix or verify first.Reconnaissance AIHow an AI assistant supports reconnaissance and attack-surface mapping for authorized targets — subdomain enumeration, service discovery, and organizing what you find into a testable picture.Bug Bounty AIHow an AI assistant supports bug bounty hunting — planning reconnaissance, understanding vulnerability classes, and writing clear, responsible disclosure reports for authorized programs.