Threatv1.0.0

An e-commerce platform models threats for its new payment integration. Using STRIDE, the team identifies spoofing risks via fake merchant accounts and tampering of transaction data in transit. Mitigations include mutual TLS and input validation.

A healthcare startup conducts threat modeling for a FHIR API exposing patient records. They map trust boundaries between the public internet and internal services, uncovering information disclosure risks from insufficient authorization. Controls include OAuth 2.0 and audit logging.

A fintech company threat models a new mobile banking feature. The team diagrams data flows and identifies elevation-of-privilege risks if a device is rooted. Mitigations include runtime integrity checks and secure key storage.

A SaaS provider models threats for a multi-tenant deployment. They discover data isolation gaps between tenants (information disclosure) and denial-of-service vulnerabilities via noisy neighbors. Controls involve row-level security and rate limiting.

An IoT manufacturer threat models a smart home system. STRIDE reveals spoofing risks for device firmware updates and tampering of sensor data. The team plans code signing and integrity verification for all updates.

Offer threat modeling workshops as a paid service to enterprise clients, charging per engagement. Revenue comes from hourly consulting or fixed-price deliverables like threat model documents.

Build a collaborative online tool that guides teams through the six-stage workflow with templates and auto-generated diagrams. Revenue from monthly subscriptions per user or team.

Embed threat modeling capabilities into existing CI/CD or security platforms (e.g., Jira, AWS Security Hub) as a premium feature. Revenue from platform license up-sells or per-model charges.