Compare Fork vs. Resurface in 2026

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Description

Fork is a SaaS platform designed for threat modeling that enables both security and product teams to conduct ongoing, risk-oriented assessments of applications by utilizing the established PASTA (Process for Attack Simulation and Threat Analysis) framework. This allows teams to swiftly identify the most probable and significant risks in less than two hours while ensuring that security measures are aligned with business objectives. By merging specialized threat libraries with current vulnerability information and threat intelligence, Fork accurately quantifies residual risks and aids in conducting business impact analyses. The platform also implements quality controls throughout the threat modeling process to enhance overall effectiveness. Additionally, Fork features a consolidated security insights dashboard that links threats directly to the attack surface of your application, while incorporating recognized frameworks and taxonomies like MITRE, OWASP, CWE, CVE (with EPSS), CAPEC, ATT&CK, D3FEND, and ASVS, which facilitates focused mitigation strategies and practical outcomes. This comprehensive approach not only enhances security posture but also fosters collaboration between technical and business teams.

Description

Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection. Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party. Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.