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About Cleafy

Cleafy is a cyber security platform from Cleafy Spa designed to protect digital transactions. It offers capabilities such as real-time fraud detection, risk assessment, and behavioral analysis so organizations can safeguard their online services. Cleafy monitors user activities and identifies anomalies to prevent fraudulent actions before they occur. The platform is equipped with advanced machine learning algorithms that adapt to emerging threats. Key capabilities: real-time fraud detection risk assessment behavioral analysis transaction monitoring multi-channel protection Best for: businesses that need to secure their online transactions against fraud.

Cleafy Details

Vendor
Cleafy Spa
Year Launched
2014
Location
Via Meravigli 16, 20123 Milano (MI) - Italy
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English
Users
Fraud Analysts, Cybersecurity Specialists, Security Operations Center (SOC) Staff, Risk Managers, Digital Banking Product Managers, Compliance Officers, IT Security Engineers
Industries Served
Retail Banking, Corporate Banking, Digital Payment & E-Wallet Services, Online Lending Providers, Fintech Companies
Tags
AI Fraud Detection, Cybersecurity, Predictive Fraud, Digital Banking Security, Transaction Monitoring, Behavioral Biometrics, Device Telemetry, Malware Detection, BOT Detection, Global Threat Intelligence

Cleafy's In-App Market Place

Does Cleafy have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (Fr), CNY (¥), HKD ($), INR (₹), KRW (₩), MXN ($), RUB (₽)

Pros & Cons

  • Predictive fraud detection proactively prevents financial losses before they can occur.
  • Minimizes false positives effectively, significantly enhancing overall customer satisfaction experience.
  • Provides real-time monitoring across multiple channels, devices, and transaction touchpoints.
  • Delivers comprehensive fraud protection for retail, corporate, and digital banking.
  • Supports regulatory compliance requirements, including standards such as PSD2 for banks.
  • Implementation may require complex technical integration with existing legacy banking systems.
  • Advanced AI functionality may necessitate staff training to correctly interpret alerts.
  • Platform complexity can be excessive for low-volume or simpler banking environments.
  • Continuous data updates are required to maintain predictive model accuracy consistently.

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