Ethical Hackers Reveal How They Use Generative AI
Bugcrowd’s report finds that many ethical hackers are utilizing generative AI in their work, but 72% argue it will never replace human creativity
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Background for this topic.
Ethical hacking is the authorized practice of simulating attacks to find and demonstrate security weaknesses before criminals exploit them. It may include penetration testing, red-team exercises, vulnerability validation, and reviews of applications, networks, cloud environments, or physical controls. The defining requirement is explicit permission: a written scope should identify approved systems, methods, testing dates, source addresses, safety limits, and contacts for urgent issues.
For practitioners, the main concerns are controlling testing risk and turning findings into useful remediation. Tests can expose personal or confidential data, disrupt production, or cross into systems that were not authorized; safeguards include least-necessary access, synthetic test data where possible, rate limits, secure evidence handling, and prompt cleanup. Reports should distinguish confirmed vulnerabilities from theoretical paths, explain business-relevant conditions and impact, and provide reproducible evidence without retaining unnecessary secrets. Coordinated disclosure and retesting help verify fixes, while legal, contractual, and privacy requirements determine what activities and data handling are permitted.
Bugcrowd’s report finds that many ethical hackers are utilizing generative AI in their work, but 72% argue it will never replace human creativity