Local Economy

Webinar Shows Identity-Based Monitoring Cuts False Alerts

By Bunga Sulistio November 4, 2026
Professional stock market analyst monitoring data on multiple screens at a workstation.
Professional stock market analyst monitoring data on multiple screens at a workstation. Photo: AlphaTradeZone/Pexels

Financial institutions are invited to a live session on how identity-based transaction monitoring can lower false alerts while strengthening fraud detection, according to the event announcement from Finance Magnates and Shufti. The webinar will be streamed to participants worldwide, creating a forum for real-time discussion and questions.

Why Conventional Monitoring Falls Short

Most banks and payment firms rely on automated systems that evaluate each payment individually, scoring it without considering the verified identity behind the transaction. Those scores often ignore essential context, which can distort the risk picture.

When a system focuses only on transaction metrics, legitimate transfers may be flagged for review, while suspicious patterns tied to a specific customer can slip through unnoticed. This mismatch creates inefficiencies for compliance teams.

Compliance teams therefore wrestle with two opposing pressures: eliminating unnecessary alerts that drive up operational costs, and preventing real money-laundering activity from evading detection. Balancing these goals requires more than generic rule sets.

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Connecting KYC Data to Ongoing Payments

Know-Your-Customer (KYC) checks establish a risk profile at onboarding by confirming a client’s identity and assessing their background. Ongoing monitoring should then reference that profile whenever a new payment occurs, ensuring continuity between the initial assessment and later activity.

Without a clear link between the verified identity and each transaction, analysts lack the information needed to judge whether a payment aligns with the customer’s established risk level. The missing connection often forces investigators to rely on incomplete signals.

Linking the two data streams enables a shift from generic cohort-based scoring to an individualized view of risk, allowing alerts to be calibrated to each person’s history. This personalized approach reduces noise and highlights truly anomalous behavior.

Such integration can be achieved without adding a separate vendor, as the same verification platform can feed identity attributes directly into the monitoring engine. The result is a streamlined workflow that keeps all relevant data within a single ecosystem.

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Speaker and Audience Details

The webinar will be led by Daniela Marin, Senior Product Marketing Manager at Shufti. Marin brings experience across fraud, risk intelligence, and cybersecurity, and will outline practical steps for bridging the verification-monitoring gap.

Target attendees include professionals in fraud prevention, anti-money-laundering compliance, KYC verification, risk management, payments, fintech, and broader banking operations. The audience profile spans senior compliance officers, risk analysts, fraud investigators, and technology leaders who manage transaction monitoring solutions.

Registrants will receive guidance on how to embed verified identity context into daily monitoring practices. The aim is to cut unnecessary alerts while preserving vigilance against genuine threats.

Participants can sign up through the provided registration link, which reserves a spot for the live discussion and any follow-up resources shared by the presenter. The registration link is included in the original announcement.

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