AI-powered detection of business email compromise and payment fraud
Trustmi detects and blocks socially engineered payment fraud—primarily BEC/VEC attacks—before funds leave the organization. The stack (Python, FastAPI, Flask, Django, MongoDB, PostgreSQL, Elasticsearch) reflects a data-heavy, real-time detection architecture. Hiring velocity has decelerated to just one role in the last 30 days across a lean, distributed team (engineers in both Israel and the US), suggesting product-market fit focus over aggressive growth.
Trustmi is a cybersecurity company protecting mid-market and enterprise organizations from socially engineered fraud in B2B payments. The platform uses behavioral AI to identify Business Email Compromise (BEC) and Vendor Email Compromise (VEC) attacks, stopping fraudulent transfers before execution. Founded in 2021 and based in New York, the company operates a 51–200 person team split across engineering, sales, marketing, operations, and security. Internal projects show active investment in threat monitoring, analyst tooling, and revenue operations optimization alongside GTM expansion into new territories.
Python, FastAPI, Flask, Django, MongoDB, PostgreSQL, Elasticsearch, Kubernetes, and AWS for the core platform. Salesforce, HubSpot, Outreach, and ZoomInfo power sales and marketing operations.
Active projects include a threat monitoring and fraud detection platform, AI tools for fraud analysts, revenue forecasting dashboards, RevOps optimization, and regional marketing programs aligned to enterprise sales priorities.
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