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Software Status:Active

About Fraud Alert

Fraud Alert is a fraud detection software from CAULIS that supports financial institutions in their anti-money laundering (AML) and phishing prevention efforts. It provides features such as Fraud Alert Grid Data, KYC, and detailed company information to help protect Japan's financial assets. This solution is designed to identify and mitigate the risks associated with fraudulent activities, ensuring the security of financial transactions. With a focus on delivering critical data and insights, Fraud Alert assists organizations in maintaining compliance with regulatory requirements. Key capabilities: Fraud detection Grid Data analysis KYC support Phishing prevention Company information Best for: financial institutions that need reliable solutions for fraud detection and risk management.

Fraud Alert Details

Vendor
CAULIS
Year Launched
2015
Location
FINOLAB, 4F Otemachi Building, 1-6-1 Otemachi, Chiyoda-ku, Tokyo 100-0004
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, Japanese
Users
Membership site users, General website users, Business users
Industries Served
Legal, Media, Corporate, Cybersecurity, E-commerce, Technology
Tags
Fraud alert, Customer identity, Access management, Experian, CIAM

Fraud Alert's In-App Market Place

Does Fraud Alert have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), SGD (S$), HKD (HK$), CHF (CHF), SEK (SEK), NOK (NOK), DKK (DKK), NZD (NZ$), and INR (₹).

Pros & Cons

  • Focus on Prevention: Aims to proactively detect and block fraudulent attempts.
  • Identity-Based Security: Uses machine learning to analyze user identity for enhanced accuracy.
  • Cloud-Based and Easy to Implement: Offers convenience and likely lower initial setup costs.
  • Versatile Application: Suitable for both large and small user bases.
  • Limited Scope: Primarily focused on access control and may not offer broader security features.
  • "Black Box" of Machine Learning: The specifics of how the "identity" is judged aren't detailed, which could raise questions about transparency.
  • Effectiveness Dependent on Data: The accuracy of machine learning relies heavily on the quality and quantity of training data.
  • No Specific Features Listed: The description is quite general, lacking details on specific features beyond access control.

Fraud Alert's Support Options

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