The threat model is identity fraud, payment fraud, account takeovers, and social engineering scams targeting financial platforms. Sardine, founded in 2020, builds the behavioral and device-level signals to catch these attacks in real time. The company's AI Risk Platform fuses device intelligence, behavior biometrics, and machine learning to score risk before money moves or accounts get compromised - a shift from post-transaction detection to pre-transaction intervention.
The scale is concrete: over 300 banks, retailers, and fintechs across more than 70 countries use the platform to secure more than $150 billion in payments, intercepting over $21 billion in attempted fraud. The technical domains run deep - behavior biometrics means profiling keystroke dynamics, mouse movements, and session patterns; device intelligence means fingerprinting hardware and software environments; machine learning means models trained on those signals to flag anomalies humans wouldn't catch.
The company has raised $145 million to date. Engineering work here sits at the intersection of adversarial machine learning, large-scale data pipelines, and real-time inference systems that have to be right under pressure - false positives cost revenue, false negatives cost trust. The team operates globally.
