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Resecurity Launches AI-Driven Fraud Prevention Platform

Resecurity

Resecurity, a global leader in cybersecurity and risk management solutions protecting major Fortune 500 companies and government agencies worldwide, unveiled its advanced AI-driven Fraud Prevention Platform. This versatile solution is engineered to combat fraud across banking, virtual asset service providers (VASPs), e-commerce, and online marketplaces, providing a robust defense against the evolving landscape of digital fraud. The platform was successfully introduced at Black Hat USA 2024 in Las Vegas, along with the CONTEXT AI framework by Resecurity.

In the digital era, the frequency of online transactions has increased in times, alongside the sophistication of fraud tactics, tools and procedures (TTPs). Resecurity’s AI-driven Fraud Prevention Platform leverages state-of-the-art data science and machine learning (ML) to offer comprehensive, preemptive protection and close to real-time detection across various digital platforms.

The platform is powered by actionable Big Data providing unique risk intelligence insights on the latest fraud indicators, money mules, politically exposed person (PEPs), merchants involved in illegal activity, enabling financial crime investigators, fraud prevention and compliance teams to perform enhanced KYC screening and conduct deep dive investigations.

Also Read: SentinelOne & Mandiant: AI-Powered Cyber Defense

Diverse Applications for Comprehensive Fraud Prevention:
Key Features of Resecurity’s AI-driven Fraud Prevention Platform:
  1. Anti Money Laundering (AML): Detection of actors who may misuse financial services, such as banks, e-commerce platforms, and payment networks, to engage in illegal activities, including money laundering and terrorism financing. Resecurity is sharing actionable risk intelligence to facilitate the identification of high-risk individuals and accelerate anti-money laundering controls for compliance purposes.
  2. Real-time Fraud Detection: Utilize cutting-edge AI and graph-based analysis to identify fraudulent activities quickly and accurately.
  3. Cross-Platform Behavioral & Environmental Metrics: Analyze geolocation with high accuracy, behavior, network, software environment, time-based and device-specific data from customers, enhancing fraud detection across web and mobile interfaces.
  4. Bot Detection and Behavioral Analysis: Analyze device requests and user behavior to predict and prevent fraud attempts, ensuring authenticity and security.
  5. Preemptive Fraud Intelligence: Leveraging AI and machine learning, the platform offers preemptive insights to stop fraud before it can impact operations based on ongoing financial crime intelligence collection (compromised payment data, activity of threat actors).
  6. Superior Device Fingerprinting: Uses proprietary technology to distinguish legitimate users from potential threats, including infected and spoofed devices.
  7. Platform-Agnostic Mobile SDK: Employs Web Snippet and Mobile SDK for Google Android and Apple iOS to ensure seamless integration across a wide range of digital platforms, enhancing adaptability and coverage.

The platform has been successfully implemented in leading financial institutions, lending providers, insurance organizations, and marketplaces, enabling them to save millions of dollars in potential losses.

Source: PRNewswire

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