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Rippleshot Strengthens Fraud Prevention for Financial Institutions with AI-Powered Sonar and Rules Assist

Chicago, IL – October 13, 2025 – Rippleshot, a leader in payment fraud prevention and financial institution fraud technology, continues to transform the way fraud teams combat evolving threats. With its flagship solutions, Sonar and Rules Assist, Rippleshot empowers financial institutions with predictive fraud analytics, proactive fraud intelligence, and actionable insights to help financial institutions proactively stop credit and debit card fraud before it happens.

Elevating Fraud Prevention Through Consortium Data

At the core of Rippleshot’s approach is a robust data consortium built from over 5,000 contributing financial institutions and more than 50 million daily card transactions. This collective intelligence allows Rippleshot to lead in consortium data fraud detection, identifying compromised merchants, high-risk transactions, and vulnerable cards with unmatched accuracy.

Sonar: Predict. Pinpoint. Protect.

Sonar leverages advanced AI and machine learning models to provide financial institutions with a Fraud Forecast™ score, predicting compromised cards up to 180 days before network alerts. By enabling financial institutions to take action early, Sonar helps reduce fraud losses, strengthen fraud mitigation strategies, and elevate the cardholder experience.

Rules Assist: Smarter Rules. Stronger Defense.

Rules Assist enables fraud managers to optimize their fraud defenses by implementing fraud rule optimization strategies. By harnessing insights from Rippleshot’s proprietary consortium data, fraud teams gain visibility into high-risk merchant patterns, improve merchant fraud detection, and can achieve 7x ROI, while lowering false positive rates by 46%. This proactive intelligence enables institutions to swiftly adapt to new fraud trends and protect cardholders with precision.

Positioned for the Future with Agentic AI

As fraud tactics evolve, Rippleshot has built and provided clients with agentic AI in fraud prevention – AI systems capable of autonomously analyzing risks, learning from fraud patterns, and recommending next-generation strategies. With this, Rippleshot is ensuring that financial institutions not only keep pace with fraud but also define the future of fraud detection.

About Rippleshot

Trusted by more than 1,900 financial institutions, Rippleshot combines AI-driven fraud prevention, machine learning, and predictive fraud analytics with the power of consortium data to safeguard cardholders and streamline fraud operations. From fraud risk scoring to fraud mitigation strategies, Rippleshot provides comprehensive tools for fraud managers to minimize losses and boost performance.

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