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Sprocket Continuous Offensive Security

Continuous penetration testing platform with attack surface discovery

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Sprocket Continuous Offensive Security Description

Sprocket Continuous Offensive Security is a platform that provides continuous penetration testing services across multiple attack vectors. The platform combines automated attack surface discovery with human-driven security testing to identify and validate exploitable vulnerabilities in real-time. The platform offers testing capabilities across external networks, internal infrastructure, web applications, APIs, and cloud services. It includes social engineering assessments through phishing, vishing, and other campaigns to test employee security awareness. Testing is performed continuously rather than as point-in-time assessments, allowing organizations to identify new exposures as they emerge. The platform provides real-time visibility into findings through a centralized dashboard where security teams can track vulnerabilities, view step-by-step attack narratives, and monitor remediation progress. It includes unlimited retesting to verify that identified vulnerabilities have been properly resolved. The system generates on-demand reports for executive stakeholders, compliance requirements, and third-party attestations. Sprocket's approach addresses limitations of traditional annual penetration tests by maintaining continuous testing coverage without gaps between assessments. The platform includes AWS scanning capabilities to map public cloud assets and AI-powered remediation assistance to help teams address identified vulnerabilities.

Sprocket Continuous Offensive Security FAQ

Common questions about Sprocket Continuous Offensive Security including features, pricing, alternatives, and user reviews.

Sprocket Continuous Offensive Security is Continuous penetration testing platform with attack surface discovery developed by Sprocket Security. It is a Vulnerability Management solution designed to help security teams with Penetration Testing, Continuous Testing, Attack Surface Mapping.

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