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Bug Bounty AI

Bug bounty hunting is the practice of finding and responsibly reporting security vulnerabilities in systems you are explicitly authorized to test — usually through a program on a platform such as HackerOne, Bugcrowd, or Intigriti. The work rewards methodical reconnaissance, a solid grasp of how common vulnerability classes behave, and the discipline to report findings clearly so they can be fixed.

MAKEIY is an AI assistant for that workflow. It does not replace your judgment or your authorization to test a target — it helps you move faster within scope: talking through a recon plan, explaining an unfamiliar vulnerability class, interpreting the output of tools you run, and turning a confirmed finding into a report a triager can act on.

How MAKEIY helps

Guides

A bug bounty reconnaissance workflowA practical, repeatable reconnaissance workflow for authorized bug bounty targets — from confirming scope to mapping the attack surface and deciding where to look first.Writing a clear vulnerability reportWhat makes a vulnerability report easy to triage and act on — a precise title, real impact, reproducible steps, and concrete remediation, written for the person who has to fix it.Understanding bug bounty program scopeHow to read a bug bounty program's scope so you test the right assets — in-scope vs out-of-scope, accepted vulnerability types, and the rules that keep your testing authorized.

Key terms

Bug bountyA program through which an organization invites security researchers to find and report vulnerabilities in its systems, usually in exchange for recognition or a monetary reward. Testing is authorized only within the program's published scope and rules.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.ReconnaissanceThe information-gathering phase of a security assessment, in which a tester builds a picture of an authorized target — its domains, hosts, services, and technologies — before testing anything. Often shortened to recon.Attack surfaceThe full set of points where an attacker could attempt to interact with a system — every exposed domain, endpoint, service, and input. Mapping the attack surface is a core goal of reconnaissance because you can only assess what you know exists.

Related topics

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.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.Penetration Testing AIHow an AI assistant supports authorized penetration testing — planning a methodology, understanding findings, and documenting results. An assistant for testers, not an autonomous scanner.