The product ingests architecture docs, pull requests, infrastructure changes, vulnerability data, and policy requirements to generate living threat models and risk assessments. It maps emerging attack techniques to affected systems, recommends actionable controls, escalates critical risks with impact evidence, and keeps audit-ready evidence tied to issue closure.

Job postings show threat modeling shifting from occasional security review to routine, automated practice, especially as agentic AI creates new context-aware security risks. Companies are hiring for this capability across application security, AI security, incident response, and enterprise data protection.