Cybersecurity for Fintech
Stop transaction fraud before it hits your fintech stack
Score user risk in milliseconds across payments, login, and API usage
Stats on Fintech Breaches
70%
Digital Fraud in Finance
Fraud events at financial institutions occurred 80% via online or mobile channels
63%
Of financial organizations
Lost over $1 million to fraud
$290K
Costly Identity Fraud
Companies (45%) and end-users (44%) reported identity fraud at least once; average fraud cost per event was $300,000
Why Fintech Data Security Matters
Payment Fraud Can Erode Trust and Compliance
In the fintech industry, real-time transactions come with real-time risk, especially when it comes to payment fraud and false declines. Our adaptive fraud detection ensures every transaction is evaluated without disrupting legitimate users.
Fintech Onboarding is Vulnerable to Fake Accounts and Bonus Abuse
Fraudsters exploit digital onboarding flows digital onboarding flows to create synthetic identities, bypass KYC checks, and abuse signup incentives. CrossClassify prevents fake account creation through layered identity, device, and behavioral analysis.
Traditional Cybersecurity Misses Post-Login Threats
Most fintech fraud happens after login—via social engineering, session hijacking, or silent fraud. CrossClassify delivers post-login behavioral analysis to detect risky behavior even from verified users.
Bots Are Exploiting Fintech APIs at Scale
Fraudsters automate attacks on fintech APIs to test stolen cards, scrape pricing, or simulate activity. CrossClassify detects bot fraud in real-time across APIs, mobile, and web traffic.
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Solution
Issues We Resolve
We protect your app from the most prevalent cyber attacks
$12B
In fintech losses globally attributed to account takeover fraud.
43%
Of fraud incidents reported by digital banks are ATO-related.
How We Prevent Account Takeover
Learn More ❯Prevent identity theft and data breaches caused by unauthorized access to user accounts. Account Takeover (ATO) attacks exploit vulnerabilities using tactics like impersonation, keylogging, smishing and phishing, and session hijacking, putting sensitive information and trust at risk.
Learn More ❯Continuous Monitoring for Fintech Risk Signals
Behavior Analysis for Transaction and Login Fraud
Geo Analysis for Fintech Transaction Integrity
Link Analysis to Uncover Fraud Rings
Enhanced Security and Accuracy for Financial Transactions
Seamless Integration with Fintech Infrastructure
Real-Time Alerting and Notification for Fintech Teams
Compliance
From Regulation to Reputation
GDPR: Securing EU Data via Safe Handling and Breach Reporting
Meta (Facebook) was fined €1.2 billion for unlawful data transfers to the U.S.
Amazon Europe was fined €746 million for processing personal data without valid consent.
PCI DSS – Sets standards for encrypting and securing payment card data.
Heartland Payment Systems paid over $110 million in settlements after a data breach involving 100M+ cards.
Non-compliant merchants risk $5,000–$100,000/month in penalties from card brands.
Real-Time Fintech Risk Scoring
CrossClassify analyses account events, login, transactions instantly to assign adaptive risk scores. This supports instant decisions and regulatory compliant workflows. Keeps regulatory compliance intact and reduces fraud latency.
Behavioral Intelligence for Fintech Fraud
We analyze device behavior, user biometrics, and session patterns to detect and block fraudulent fintech activity in real time. Our system flags credential stuffing, automated account takeovers, and API abuse before they escalate. This allows neobanks, payment platforms, and digital lenders to stop bot-driven fraud without disrupting user experience.
Compliance-Ready for Fintech
Our platform supports PSD2, GDPR, KYC/AML controls while preserving seamless onboarding and CX. Ensures fintechs comply without sacrificing conversion.
“We integrated their SDK in less than a day—both on web and mobile. Within the first week, their graph analysis flagged two fraud rings we hadn’t spotted. And the ML models? They’ve reduced manual review time by 60%.
What surprised us most was how quickly it started learning from new patterns. It’s like we have an evolving fraud analyst baked into our stack.”
Max Daneshvar
CTO at Lendela
Frequently asked questions
Let’s Get Started
Elevate your Fintech app's security with CrossClassify. Schedule a personalized demo to see how we protect customer accounts and ensure compliance with industry standards.
