Fintech Fraud: A Critical Challenge
From account takeovers to synthetic identity fraud, fintech companies face sophisticated threats that can derail growth.
2.5x Higher
Fraud rates for fintech companies compared to traditional financial institutions due to rapid growth.
56%
Of fintech companies report that fraud prevention is a significant barrier to growth and innovation.
$20M+
Average fraud losses for mid-sized fintech companies annually, not including compliance penalties.
Account Age
2 days
Transaction Volume
$15,450.00
Device
Multiple new devices
Location
Multiple countries
Risk Factors:
Fintech Fraud Detection Challenges
Fintech companies face unique challenges in fraud detection, balancing rapid growth with effective risk management.
- Growth vs. Security Tension
Pressure to acquire users and scale quickly often conflicts with thorough risk management.
- Limited Historical Data
New fintech products often lack the historical data needed to train effective fraud models.
- Regulatory Scrutiny
Fintech companies face increasing regulatory pressure to explain their risk decisions.
How SpottedAI Transforms Fintech Fraud Detection
Our explainable AI platform helps fintech companies balance growth with effective risk management.
Scale Safely with Adaptive Models
Our AI models adapt quickly to new products and user behaviors, learning from limited data to provide effective protection from day one.
Explain Risk Decisions
Provide clear explanations for flagged accounts and transactions, helping risk teams and regulators understand AI decisions.
Reduce False Positives by 60%
Our contextual understanding of fintech user behavior reduces false alerts, minimizing friction for legitimate users.
Detect New Fraud Patterns
Our models identify emerging fraud tactics targeting fintech platforms, helping you stay ahead of sophisticated attacks.