Financial Crime Detection Through Agentic AI Combined with Trusted Data Foundations
Webinar Speaker: Bill Franks, Research Fellow
Date: Wednesday, August 26, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
The financial industry faces immense pressure from both evolving regulations and sophisticated financial criminals, which leads to significant operational costs and the risk of reputational damage. Traditional surveillance systems are strained by high data volumes, plus they often generate false positives. This makes timely and accurate detection of illicit activities like insider trading a major challenge.
An augmented agentic AI surveillance framework can detect threats in real time and address common data challenges. First, a platform such as Informatica’s Intelligent Data Management Cloud (IDMC) is used to create a governed, trusted data foundation, enabling a holistic view of customers and transactions. Upon this foundation, a multi-agent system is deployed and orchestrated through a provider like Wipro Intelligence. These agents collaborate to automate the entire surveillance life cycle: from real-time data ingestion to data quality management, pattern detection, and behavior analysis to case prioritization.
The adaptive, real-time nature of the agentic AI framework and its ability to integrate with existing systems makes it powerful.
Customer Benefits
- 50–70% reductions in false positives
- 30–50% operational cost savings
- Improved fraud detection accuracy
- Assured regulatory compliance
That combination safeguards the institution’s integrity and its financial stability and reduces the risk of any fraudulent transactions going undetected.
Join us to discover how leading financial institutions are combining a governed data foundation with collaborative agentic AI processes to deliver real-time threat detection while slashing false positives and lowering operational costs.