Darwinium Beagle is an AI-powered red-teaming tool designed specifically for fraud detection testing. It automates the simulation of fraudulent user journeys across web and API environments to evaluate how well fraud detection systems respond to adversarial tactics. Beagle uses autonomous AI agents to mimic real-world fraud behaviors across the full user journey — from account creation through to content generation and payment flows. It is capable of navigating websites, filling forms, submitting data, and interacting with systems in a manner consistent with real user behavior, while targeting fraud detection blind spots. Key attack simulations include: - Synthetic identity creation with realistic user profiles, spoofed devices, geolocation variance, and behaviorally valid interaction patterns - Credential stuffing and account takeover attempts - Low-and-slow bot attacks designed to evade fraud defenses - Human click farm / fraud farm behavioral mimicry - Device and IP geolocation spoofing via proxy services, VPNs, and header manipulation - Fake content generation Beagle generates outputs including Darwinium-compatible YAML journey configurations, detailed trace data, network request/response mappings, form field categorizations, and behavioral analytics. It addresses challenges such as siloed fraud controls, infrequent manual red-teaming, slow remediation loops, and insufficient coverage of diverse fraud vectors. Beagle annotates journeys, suggests feature or rule updates, and supports auto-remediation where gaps are identified. Currently, Beagle is operated by Darwinium internally on behalf of customers, with general self-service availability planned for future release.