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What is Trend Micro ScamCheck?

Trend Micro ScamCheck is a cutting-edge mobile app that leverages artificial intelligence to tackle modern scams and spam across multiple platforms effectively. By employing proprietary AI algorithms developed from real scam patterns, the application identifies and blocks suspicious content, ensuring users receive immediate notifications regarding scam calls, spam texts, and impersonation attempts via deepfake video calls. Furthermore, it incorporates an automatic filtering mechanism for hazardous websites and intrusive advertisements, thereby enhancing user safety. Users can also upload images, screenshots, URLs, text messages, or phone numbers for prompt AI assessment, which provides clear evaluations of whether the content is "safe" or a "scam," along with actionable advice. The app is equipped with a powerful spam-text filter and a call-blocking feature that significantly minimizes interruptions while also featuring a deepfake detection tool to protect against deceptive face-swapping during live video chats. In addition to these functions, ScamCheck's intuitive interface educates users about different scam methods, promoting sustained awareness and resilience against potential threats. This holistic strategy not only safeguards users but also equips them with the knowledge necessary to navigate the complexities of the digital world securely, ultimately fostering a more informed and vigilant user community.

What is ThreatMark?

ThreatMark is at the forefront of combating fraud by utilizing behavioral intelligence, enabling financial institutions to safeguard their customers from various scams and social engineering tactics. The company proactively identifies threats to digital channels, preventing fraudulent activities before they occur, unlike traditional fraud detection methods, which often fall short. In addition to assisting financial institutions and fintech partners in addressing fraud, ThreatMark significantly minimizes false positives associated with current fraud prevention measures, reduces operational expenses, and aids global partners in customer retention and revenue growth. Conventional fraud detection methods typically rely on historical transaction data, while authentication practices primarily focus on what a user knows or possesses; however, these strategies prove inadequate against scams where legitimate customers authorize fraudulent payments using their credentials, devices, and locations. By integrating its Behavioral Intelligence solution, ThreatMark enhances an institution’s fraud prevention capabilities through the analysis of largely overlooked data regarding digital interactions and user-device behavior, allowing for the identification of transactions that occur under duress or manipulation by fraudsters, ultimately strengthening the overall security framework of financial institutions.

Media

Media

Integrations Supported

Integrations Supported

Q2

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing is driven by the number of digital channels and the number of clients using them.

Supported Platforms

Android
iPhone

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Trend Micro

Date Founded

1988

Company Location

United States

Company Website

www.trendmicro.com/en_us/forHome/products/trend-micro-scam-check.html

Company Facts

Organization Name

ThreatMark

Date Founded

2015

Company Location

USA

Company Website

www.threatmark.com

Categories and Features

Anti-Phishing

Not specified

Categories and Features

Fraud Detection

Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Insurance Industry
Pattern Recognition
Transaction Approval

Identity Verification

Not specified

RegTech

Not specified

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