Overview

CrowdMatch is Bugcrowd's proprietary AI-driven technology designed to enhance penetration testing by precisely matching skilled security researchers to specific program requirements. By analyzing a hacker's performance history and qualifications, CrowdMatch ensures that the most suitable researchers are engaged for each project, leading to more effective and efficient security assessments. This approach not only improves the quality of findings but also increases the average rewards for hackers, fostering a more productive and motivated security community.

Features and Capabilities

• Precise, Automated Matching: Utilizes AI to match trusted researchers to customer programs based on skills, environment, and use cases, such as Penetration Testing, Vulnerability Disclosure Programs, and Attack Surface Management.
• Enhanced Researcher Engagement: Aligns researchers with projects that match their skills, industry expertise, and interests, leading to deeper engagement and more impactful results.
• Continuous Performance Assessment: Evaluates a hacker's performance over time, considering factors like report quality, testing accuracy, and impact, to continually refine matching algorithms.
• Increased Vulnerability Detection: Researchers selected through CrowdMatch identify twice as many critical vulnerabilities compared to those engaged through random, high-volume invitations.
• Higher Hacker Rewards: The productive engagements facilitated by CrowdMatch result in an 82% increase in average payouts for hackers, creating a positive feedback loop for better long-term results.
• Scalable Penetration Testing: Enables on-demand access to a deep talent pool, allowing for easy rotation of testers as needed to meet specific project requirements.
• Global Validation and Triage Services: Provides in-house validation and triage to quickly assess and prioritize risks, ensuring timely and effective remediation.
• Integrated Security Workflows: Offers built-in security workflows that extend into the Software Development Life Cycle (SDLC) for optimal incident response.
• Advanced Data Infrastructure: Employs state-of-the-art data infrastructure to power real-time analytics and visibility, supported by a rich security knowledge graph that continually informs risk-management decisions.