Bugcrowd Red Team as a Service (RTaaS) Logo

Bugcrowd Red Team as a Service (RTaaS)

Crowdsourced red teaming service with multiple engagement models

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Bugcrowd Red Team as a Service (RTaaS) Description

Bugcrowd Red Team as a Service (RTaaS) is a crowdsourced red teaming service that simulates real-world attacks to test organizational defenses. The service connects clients to a global network of vetted red team operators and offers three engagement models: Assured (fully managed dedicated team for focused engagements), Blended (hybrid model combining crowdsourced operators for initial access with dedicated team follow-through), and Continuous (ongoing open-scope testing with rotating teams). RTaaS focuses on uncovering full attack chains and paths rather than isolated vulnerabilities, testing how threats move through systems across people, processes, and technology. The service includes an Attack Approval Chain (AAC) process that provides structured go/no-go decision points for planned attack vectors, maintaining client control over engagement scope and risk management. The platform provides continuous updates through dashboards, real-time progress tracking, and comprehensive reporting that maps findings to root causes and controls. Operators are hand-picked based on client environment and threat profile. The service supports scenario-based engagements using custom intelligence-led playbooks to test both technical defenses and operational readiness. Pricing varies by model: project-based pricing for Assured engagements, reward pools for Blended and Continuous models, with rewards based on severity and stealth of findings.

Bugcrowd Red Team as a Service (RTaaS) FAQ

Common questions about Bugcrowd Red Team as a Service (RTaaS) including features, pricing, alternatives, and user reviews.

Bugcrowd Red Team as a Service (RTaaS) is Crowdsourced red teaming service with multiple engagement models developed by Bugcrowd. It is a Services solution designed to help security teams with Red Team, Penetration Testing, Attack Simulation.

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