High-Level Overview
Trustmi is a cybersecurity company that builds a SaaS platform using behavioral AI to prevent fraud in B2B payments, protecting businesses from cyberattacks, social engineering, internal collusion, and human error.[1][2][3][4] It serves enterprises like Fortune 500 companies including CNA Insurance and Colgate-Palmolive, equipping finance, treasury, and security teams with tools to assess transaction safety, detect anomalies, and secure vendor management across emails, invoices, and financial systems.[1][3] The platform solves the escalating problem of payment fraud in complex domestic and cross-border transfers by integrating vendor, user, and payment data for contextual risk scoring, with $21M raised since 2021 and strong growth via recent Series A funding.[1][3]
Founded in Tel Aviv, Israel (with a New York office), Trustmi's modular solution fits into existing workflows, leveraging a crowd-sourced Trust Network for enhanced detection, delivering immediate value by auditing past payments and preventing millions in losses.[2][3]
Origin Story
Trustmi was founded in 2021 by Shai Gabay (CEO) and Eli Ben Nun, cybersecurity and fintech experts who met in 2018 at Cynet, a cybersecurity firm.[1][3][4] Recognizing gaps in B2B payment security, they conducted extensive research, consulting hundreds of CFOs from SMBs to Fortune 500s, uncovering vulnerabilities in complex payment processes prone to fraud.[3]
This insight sparked Trustmi's development as an end-to-end platform beyond email security. Early traction came from its unique behavioral AI approach, securing $17M in Series A funding in 2025 (totaling $21M) led by Zeev Ventures and Cyberstarts, enabling enterprise expansion.[1][3]
Core Differentiators
- End-to-End Payment Protection: Secures the full B2B process—not just email—across vendors, invoices, and systems, using behavioral AI with vendor, employee/user, and payment fingerprint data for instant, contextual risk scoring.[1][2][4]
- Behavioral AI and Anomaly Detection: Combines machine learning with continuous monitoring to counter social engineering, AI-powered attacks, and human error, prioritizing high-risk cases for finance teams.[4]
- Trust Network and Integration: Crowd-sourced data from thousands of vendors boosts detection; flexible, modular design integrates seamlessly into workflows without silos.[2][3]
- Proven Enterprise Value: Rapid deployment audits past payments, prevents losses (saving clients millions), and serves Fortune 500s with tailored controls.[1][3]
Role in the Broader Tech Landscape
Trustmi rides the surge in social engineering and AI-enhanced cyber threats targeting B2B payments, a market vulnerable due to siloed operations, complex cross-border transfers, and human factors amid rising attack sophistication.[3][4] Timing aligns with exploding fraud costs—businesses face a "perfect storm" of psychological manipulation and toolkit advancements—positioning Trustmi as a leader in fintech-cybersecurity convergence.[4]
Market forces like regulatory pressures for treasury security and demand for treasury ecosystems favor its growth, as seen in coverage by Strategic Treasurer.[2] It influences the ecosystem by redefining payment security standards, enabling safer digital transformation for global enterprises and setting benchmarks for AI-driven fraud prevention.[1][3]
Quick Take & Future Outlook
Trustmi is poised to scale its enterprise footprint with fresh funding, expanding the behavioral AI platform to counter evolving AI-powered threats and internal risks.[3][4] Trends like deeper treasury tech integration and crowd-sourced networks will propel it, potentially capturing more Fortune 500s amid ballooning cyber-fraud losses.
Its influence may evolve into a dominant player in payment security ecosystems, much like its origins addressed overlooked B2B gaps—delivering not just protection, but trust at scale for a fraud-resilient economy.[1][3]