HackerOne Releases Q4 Rankings: AI-Powered Penetration Testing Product HACKBOX.AI Takes Top Spot

BEIJING, CHINA, January 14, 2026 /EINPresswire.com/ -- AI is reshaping the landscape of cybersecurity testing. In a recent announcement, HACKBOX PTE.LTD, a cybersecurity firm specializing in AIdriven automated penetration testing, revealed that its flagship product, HACKBOX.AI, has secured the number-one position in HackerOne’s monthly overall rankings for the fourth quarter of 2025, shortly after joining the platform.

HackerOne is a leading global vulnerability coordination and crowdsourcing platform that connects hundreds of thousands of security researchers worldwide, offering external security testing services to organizations across industries. Through public and private bug bounty programs, the platform helps enterprises identify and remediate security vulnerabilities. Its monthly rankings evaluate participants based on their vulnerability discovery capabilities, the quality of their reports, and overall engagement.

HACKBOX.AI is built on a multiagent collaborative architecture, designed to simulate attackers’ tactics and pathways. The system automates the entire testing lifecycle—from information gathering to vulnerability exploitation—with the goal of delivering continuous and automated security assessments.

According to the company, its Q4 2025 ranking on HackerOne is based on the AI product’s performance in realworld testing environments. The results highlight the efficiency and competitiveness of AI technologies in automated penetration testing scenarios during this period.

“Applying AI to penetration testing is a response to the expanding attack surface and the shortage of cybersecurity professionals,” a representative from HACKBOX PTE.LTD stated. “Gaining validation on an open platform like HackerOne provides valuable insights for our ongoing product development. We will continue to focus on improving the accuracy and coverage of AIdriven testing.”

Industry analysts note that as cyber threats evolve, traditional manual testing struggles to keep pace with enterprises’ demands for speed and scale, making automation and intelligence inevitable trends. While AIpowered tools have attracted attention for their performance on crowdsourcing platforms, their ability to detect complex logical vulnerabilities, control false positives, and integrate with existing workflows remains under close observation.

HACKBOX.AI’s recent performance on a thirdparty platform serves as a notable case study for the broader adoption of AI in penetration testing. The company says it will continue to refine the product based on ongoing testing feedback.

Vicky Li
hackbox.ai
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