{"id":27324,"date":"2026-06-27T02:28:00","date_gmt":"2026-06-27T00:28:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=9c13b0eb6cb7ea9cb228ce271e56ded8"},"modified":"2026-06-27T02:28:00","modified_gmt":"2026-06-27T00:28:00","slug":"versprite-launches-fork-and-knife-ai-driven-threat-modeling-and-adversarial-testing-built-for-the-speed-of-modern-software","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=27324","title":{"rendered":"VerSprite Launches Fork and Knife: AI-Driven Threat Modeling and Adversarial Testing Built for the Speed of Modern Software"},"content":{"rendered":"

\nPowered by the risk-centric PASTA methodology and two decades of accredited offensive security, the integrated platform lets enterprises threat model in a security sprint\u2014then prove the risk through AI-led, human-on-the-loop testing.<\/i><\/p><\/a><\/a>

ATLANTA--(BUSINESS WIRE)--VerSprite, a global leader in risk-based threat modeling and the firm behind the PASTA (Process for Attack Simulation and Threat Analysis) methodology, today announced the general availability of Fork<\/b> (www.forktm.com<\/a>), a continuous application threat modeling platform, alongside Knife<\/b>, an AI-led, human-on-the-loop adversarial testing platform for web applications and web API endpoints. Together, the two products operationalize a new model for product security\u2014one where applications are securely designed, continuously modeled, and actively tested as part of the build process itself.<\/p>

\nThe launch addresses a problem every security leader knows but few tools have solved: threat modeling is essential, never more so than in an AI-driven era, yet it has remained slow, manual, and anchored to frameworks designed for a different threat landscape.<\/p>

\nThe problem: threat modeling matters more than ever\u2014and most tools are stuck in 2005<\/b><\/p>

\nFor two decades, application threat modeling has leaned heavily on STRIDE\u2014a categorization mnemonic for spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege. STRIDE is useful for sorting threats into buckets, but it was never a methodology. It does not ingest real-time threat intelligence, it does not weigh business impact, and its static categories say nothing about the adversary behaviors defining risk today\u2014persistence, extortion, double-extortion ransomware, supply-chain compromise, and the novel attack surfaces introduced by AI-enabled applications.<\/p>

\nThe result is a familiar bottleneck. Threat modeling gets treated as a one-time, document-heavy exercise that lands too late in the lifecycle, goes stale the moment an application changes, and rarely connects to the testing that would actually validate whether a threat is real. As organizations ship faster and adopt AI across the stack, the gap between how quickly software evolves and how slowly it gets modeled has become a material risk.<\/p>

\nThe solution: risk-centric threat modeling at sprint speed<\/b><\/p>

\nFork is a practical, software-driven implementation of PASTA\u2014the only risk-centric, business-aligned threat modeling methodology, co-authored by VerSprite founder and CEO Tony UcedaVelez. Rather than categorizing threats in the abstract, PASTA\u2019s seven stages move from business objectives through attack surface, application decomposition, threat analysis, weakness and vulnerability analysis, attack modeling, and finally risk and impact analysis\u2014so the threats that surface are the ones most likely to happen and most damaging if they do.<\/p>

\nFork brings that rigor to the cadence of modern development, enabling teams to produce a defensible, risk-prioritized threat model in under two hours and keep it current from Sprint 1 onward. Key capabilities include:<\/p>