AI TOOL PROFILE

ThreatMark: Fraud Prevention Software

ThreatMark helps financial institutions and enterprise companies identify fraudulent activity using behavioral biometrics and anomaly detection to support fraud loss reduction.

Pricing

Pricing is based on the size of the user base. Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Financial institutions, Banks, Enterprise companies, CISOs
Key use cases
Phishing Mitigation, Social Engineering Defense, Money Mule Identification, New Account Fraud Detection
Visit threatmarkthreatmark software interface screenshot

How AI is used

ThreatMark is a fraud prevention platform designed to detect and disrupt digital fraud. It combines transaction risk analysis, threat detection, and user behavior profiling into a system to monitor how users interact with digital banking environments in real time.

The software is primarily designed for financial institutions, banks, and enterprise companies, specifically targeting CISOs and fraud prevention teams. It identifies patterns such as unexpected login locations or unusual transaction habits that may signal fraudulent activity.

Key capabilities include the detection of social engineering, phishing, and account takeovers. The platform includes a GenAI tool called ScamFlag that analyzes screenshots and images from channels like WhatsApp and email to detect deceptive content.

Buyers should confirm how the platform's behavioral profiling fits into their existing security stack and review the user-base pricing model with the vendor.

Key Features

  • Behavioral Intelligence Platform

    Analyzes user interaction patterns, such as keystroke dynamics and navigation preferences, to establish user profiles.

  • ScamFlag

    A GenAI-powered tool that analyzes images and screenshots from SMS, WhatsApp, and email to detect phishing and scams.

  • Transaction Risk Analysis

    Evaluates the risk level of payment transactions to help balance security measures with user experience.

  • AI-Based Anomaly Detection

    Uses machine learning to identify deviations from normal user behavior and detect known and emerging fraud patterns.

  • Behavioral Biometrics

    Monitors unique physical patterns, such as how a user holds their phone or makes touch gestures, for continuous verification.

  • Account Takeover Prevention

    Helps detect unauthorized access by identifying session hijacking, SIM swaps, and credential theft.

Use Cases

  • Phishing Mitigation

    Supports the identification and blocking of phishing sites and credential theft attempts.

  • Social Engineering Defense

    Detects deceptive schemes and scams used to manipulate customers into making fraudulent transactions.

  • Money Mule Identification

    Helps identify accounts used to move fraudulent funds before they are transferred.

  • New Account Fraud Detection

    Uses behavioral biometrics to help flag fraudulent sign-ups using stolen or fake identities.

FAQ

What is ThreatMark?

ThreatMark is a Behavioral Intelligence Platform that combines transaction risk analysis, threat detection, and user behavior profiling to help prevent digital fraud.

What is ScamFlag?

ScamFlag is a GenAI-powered tool within the platform that analyzes screenshots from digital channels like WhatsApp and email to detect scams and phishing.

Who is the target audience for ThreatMark?

It is designed for financial institutions, banks, and enterprise companies, specifically for CISOs and fraud prevention teams.

How is ThreatMark priced?

Pricing is based on the size of the organization's user base; buyers should contact the vendor for a quote.

Source category: Security

Source subcategory: Fraud Prevention

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