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About SEAP

SEAP is a security software from XTN Cognitive Security that provides fraud protection solutions. It includes Account Takeover Fraud Protection, Authorized Push Payment Fraud Prevention, and Bot Attacks Protection so businesses can effectively pinpoint threats attacking their operations. Additionally, SEAP offers Card Fraud Detection and Ecommerce Fraud Prevention to further safeguard transactions. This software is designed to help organizations identify and mitigate various types of fraud, enabling a stronger defense against financial losses. Key capabilities: Account Takeover Protection Authorized Push Payment Prevention Bot Attacks Protection Card Fraud Detection Ecommerce Fraud Prevention Best for: businesses that need comprehensive fraud detection and prevention solutions across different platforms and channels.

SEAP Details

Vendor
XTN Cognitive Security
Year Launched
2014
Location
Padua Padua, Italy
Deployment
cloud
Training Options
demo
Countries Served
All Countries
Languages
English, Italian
Users
Administrators, IT professionals, System analysts, Network managers, Security specialists.
Industries Served
Healthcare, Education, Finance, Retail
Tags
Endpoint Protection, Microsoft, SEAP

SEAP's In-App Market Place

Does SEAP 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

EUR (€)

Pros & Cons

  • Provides robust, behavioral-based, in-app protection that goes beyond traditional anti-fraud controls.
  • Extends security to both web and mobile channels from the endpoint level, offering a comprehensive solution.
  • Helps manage a wide range of fraud and security risks for online digital services.
  • Serves various industries, including financial institutions, e-commerce, and public administrations.
  • Uses a multi-faceted approach to identify threats by analyzing user interaction, device context, and application environment.
  • Implementation requires integration within the application, which may require development resources.
  • Effectiveness relies on consistent user behavior and may have a learning curve to distinguish fraudulent from legitimate activity.
  • Specific pricing and deployment complexities are not detailed in public search results.
  • Requires collection of user interaction data, though presumably handled securely, to identify security threats.
  • May have limited public reviews compared to more established cybersecurity solutions.

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