Know Your AI: Darwinium's Beagle and Copilot Rewriting Fraud Defenses for E-Commerce
|As AI agents become a staple of both legitimate consumer behavior and fraud, the landscape has shifted to discerning intent in real time. Darwinium’s latest solutions: Beagle and Copilot - are agentic AI capabilities engineered to proactively stress-test defenses, surface hidden vulnerabilities, and orchestrate precise remediation across complex digital ecosystems.
In this webinar, the Merchant Risk Council and Darwinium reveal how Beagle performs autonomous red-teaming in production-like environments:
- Simulates sophisticated adversarial behaviors with synthetic identities, adaptive credential stuffing, and behavioral mimicry.
- Explores full user journeys—account creation, login, checkout, support—to identify weak points in device fingerprinting, behavioral biometrics, velocity checks, and bot scoring.
- Delivers real-time telemetry and autonomous hardening: detection logic adapts, risk policies tighten, and mitigation optimizes without manual triage.
We will also introduce Copilot, the AI-optimized companion that streamlines risk engineering and decisioning:
- Acts as an omnipresent portal assistant to surface cohorts, anomalies, and bot-like activity; suggests remediation and optimizes trade-offs between security and user experience.
- Performs automated feature and rule recommendations, dynamic detection tuning, and dashboard interpretation to translate data into actionable strategies.
- Enables safe impact analysis and controlled optimization of fraud configurations before deployment, dramatically reducing manual effort in high-volume environments.
Attendees will learn:
- How Beagle’s red-teaming surfaces blind spots before attackers exploit them, and how its feedback loop refines defenses in real time.
- How Copilot transforms risk operations by bridging human expertise and platform automation—improving efficiency, accuracy, and customer trust.
- Practical guidelines for integrating agentic AI into existing fraud programs without compromising user experience or operational stability.
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