Bug Bounty Hunter and the Machine: AI-Augmented Security Research: From Docker Lab to Report

Version 1.1 - October 2026 update. Editorial and technical revision of the March 2026 edition, with an information cutoff of 4 October 2026.Bug Bounty Hunter and the Machine presents a method for AI-assisted security research: define an authorized attack surface, test hypotheses, build controlled proofs and communicate findings through evidence and responsible disclosure. The method is independent of any AI provider and requires reviewing permissions, data handling, external connections and the limits of each tool.36 chapters, nine parts and five appendices cover the laboratory, analysis and reporting: - Assisted reconnaissance and static analysis, working context and Docker laboratories.- Electron applications, code signing, Windows drivers and IOCTL interfaces.- AI systems, prompt injection, extensions and trust boundaries.- Case studies involving launchers, messaging, remote access, PDF and enterprise tools.- Proofs of concept, evidence, reports, triage decisions and follow-up.- Field notebook, the economics of the work and synthetic exercises for learning in an environment you own.The 1.1 revision clarifies the scope of the examples and the conditions required to test them. Educational code and synthetic exercises alone do not establish reproduction of a vulnerability in a real product, an operational integration or payment of a bounty.The field notebook is and will remain private. There will be no Community edition. Public educational snippets are separate materials, subject to their own license and scope; they do not include the desktop application or its core.For security researchers, bug bounty hunters, pentesters and developers with prior knowledge of networking, programming and security. Technical judgment, authorization and human verification accompany the use of AI.Authors: Carlos Pérez González and Juan C. Montes. Book 10 of The Professional and the Machine series.