Darwinium introduces two new agentic AI tools for fraud detection.

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Darwinium, a cyberfraud prevention firm, has introduced Beagle and Copilot, two advanced agentic AI features. These tools simulate adversarial attacks, hidden vulnerabilities, and optimize fraud defenses.

Addressing the Evolving Threat of Fraud

As artificial intelligence advances, it poses a significant risk to digital systems by enabling fraudsters to avoid detection. Darwinium addresses this challenge with agentic AI that is inherently part of its behavioral intelligence platform. This allows fraud teams to quickly identify anomalies and distinguish between legitimate users and malicious agents in real-time.

Key Features: Beagle and Copilot

Beagle, a tool designed for simulating and detecting malicious agents, helps uncover vulnerabilities by mimicking adversarial behaviors. It creates realistic user profiles to test fraud detection mechanisms in real-world scenarios, particularly focusing on synthetic identities, device fingerprinting, behavioral biometrics, bot scoring systems, account creation processes, and checkout interactions.

By navigating the full customer journey from start to finish, Beagle identifies weaknesses that could be exploited. It generates attacks such as false identity creations using disposable emails and virtual numbers, credential stuffing, behavioral mimicry, residential proxies, and captcha solving. Beagle’s real-time analysis feeds directly into Darwinium’s decision layer to enhance risk policies, detection logic, and mitigation strategies.

Copilot, the AI-driven companion for simplifying risk engineering, serves as an intelligent assistant in fraud remediation strategy and platform interaction. It helps fraud teams manage complex queries by suggesting investigation recommendations and remediation strategies once suspicious activities are detected.

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