Using AI to Continuously Separate Customers, Fraudsters & AI Agents

AI is transforming both digital engagement and the threat landscape. As customer journeys evolve to include both human users and intelligent agents, legacy fraud and security systems can fall short. This document outlines how Darwinium’s AI-native cyberfraud prevention platform is:

• Leveraging red-teaming adversarial AI capabilities to detect vulnerabilities in business account security processes, before fraudsters do.
• Building advanced behavioral-based machine learning models to accurately separate trusted from nefarious agent behavior.
• Delivering a tightly integrated copilot to optimize fraud defenses, bridging the gap between human expertise and platform automation.

AI is fundamentally changing the way people shop / interact online, and the way businesses recognize, trust and protect their users.

Traditional fraud and security systems were designed to distinguish humans from bots. Today, businesses must also contend with a growing number of AI agents acting on behalf of users, as well as adversarial AI designed to mimic legitimate human and agent behavior and evade detection.

Gone are the days of simple bot attacks and easily detectable transaction anomalies. Today’s fraudsters are deploying AI-driven tactics that seamlessly mimic human behavior, making them incredibly difficult to identify using traditional approaches.

This whitepaper provides a look into the evolving threat landscape and what you need to stay protected.