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Learn security with MAKEIY

Practical, honest explanations of how an AI assistant supports authorized security work — from reconnaissance and vulnerability analysis to writing a report a team can act on. Everything here assumes testing you are permitted to do.

Pillar topics

Bug Bounty AIHow an AI assistant supports bug bounty hunting — planning reconnaissance, understanding vulnerability classes, and writing clear, responsible disclosure reports for authorized programs.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.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.Security Research AIUsing an AI assistant as a security research companion — exploring how vulnerability classes work, following disclosure norms, and learning the field ethically and defensively.

Reference

Cybersecurity glossaryPlain-language definitions of the core terms — bug bounty, CVE, CVSS, CWE, recon, attack surface, and more.