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ThreatMark

ThreatMark provides a Behavioral Intelligence Platform that utilizes AI-based anomaly detection and real-time transaction risk analysis to identify and mitigate fraud threats such as phishing and account takeover. By continuously monitoring user behavior and transaction patterns, the platform protects individuals and organizations from evolving scams and social engineering tactics.

Brno, CzechiaFounded 2015783K+ followers
Updated 20 months ago

Funding

$51.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

RA
Funding rounds are not available yet.

Founders

Product

Problem

Traditional fraud detection tools struggle to keep pace with the evolving landscape of scams and social engineering tactics, leaving individuals and organizations vulnerable to financial losses and emotional distress. Fraudsters are increasingly avoiding direct interaction with banking platforms, preferring to manipulate victims directly through sophisticated schemes.

Solution

ThreatMark offers a Behavioral Intelligence Platform that combines transaction risk analysis, threat detection, and user behavior profiling to combat modern fraud. The platform uses AI-based anomaly detection and real-time transaction risk analysis to identify and mitigate fraud threats such as phishing, account takeover, and scams. By continuously monitoring user behavior and transaction patterns, ThreatMark helps organizations disrupt the fraudster's infrastructure and protect individuals from evolving scams and social engineering tactics, stopping fraud before it happens.

Target Audience

The primary customers are financial institutions and organizations seeking to protect their customers and assets from scams, phishing, account takeover, and other fraudulent activities.

Features

  • AI-based anomaly detection identifies advanced fraud threats, including social engineering, phishing, malware, and zero-day attacks.
  • Real-time transaction risk analysis applies stringent security measures for risky transactions, balancing security and user experience.
  • Behavioral biometrics verify user identity, expose fraudulent signups, and prevent malicious online activities.
  • Continuous monitoring of user behavior and transaction patterns adapts to evolving scam tactics.
  • Cyber Fraud Fusion Center provides expertise, tools, and intelligence to fight cyber threats.
  • ScamFlag, a GenAI scam detection tool, can be built into banking apps.
This profile is AI-generated and may contain inaccuracies.