Darwinium Adversarial AI comprises two AI-driven tools — Beagle and Copilot — designed to strengthen fraud prevention through red-teaming simulations and AI-assisted remediation. **Darwinium Beagle** is an agentic AI red-teaming tool that simulates adversarial behavior using autonomous AI agents across full user journeys. It replicates real-world fraud tactics — such as synthetic identity creation, device spoofing, geolocation variance, and behaviorally valid interaction patterns — to uncover vulnerabilities in device, identity, and bot detection layers before they can be exploited. Beagle targets use cases including account creation, payments, scams, abuse prevention, and API abuse. **Darwinium Copilot** is a conversational AI assistant embedded directly within the Darwinium platform. It assists fraud analysts by responding to natural language queries (e.g., "Which transactions are showing bot-like behavior?"), recommending rules, features, and detection logic tailored to customer-specific risk signals. Copilot also provides graph and dashboard interpretation, data exploration, impact analysis of rule or policy changes before deployment, trade-off quantification, and task automation. It feeds insights back into the platform's decision layer to autonomously update risk policies and detection logic without requiring manual coordination between fraud, product, and engineering teams. Both tools are aimed at eCommerce, fintech, and banking platforms seeking to continuously test and evolve their fraud defenses against sophisticated adversarial threats.