Fraud has become faster, more coordinated, and more costly. Enterprises in banking, financial services, telecom, retail, e-commerce, and utilities now face fraud risks that move in real time and span multiple channels, geographies, and product lines.
Infosys BPM fraud management solutions help global enterprises detect, prevent, and respond to fraud at scale, combining deep domain expertise, advanced data science, AI and machine learning models, and real-time monitoring into a single end-to-end capability. We analyze complex transactional data in real time to detect anomalies, reduce false positives, accelerate investigation, and lower fraud losses, while protecting the customer experience.
Infosys is recognized by Everest Group as a Leader in the Financial Crime and Compliance Operations Services PEAK Matrix 2024. We partner with global enterprises to build fraud detection, prevention, and management solutions tailored to industry-specific risk profiles, regulatory expectations, and customer experience standards.
Industry-specific fraud management solutions designed for the unique risk profiles, regulatory requirements, and transaction patterns of retail, telecom, financial services, and utility businesses. Each offering combines domain expertise with advanced analytics, AI, and machine learning to deliver measurable reductions in fraud losses and false positives.
A fraud management solution is an integrated capability that detects, prevents, investigates, and responds to fraudulent activity across an enterprise's transactions, channels, and customer interactions. Modern fraud management solutions combine real-time monitoring, AI and machine learning models, behavioral analytics, rule-based detection, and case management workflows. Infosys BPM fraud management solutions bring these capabilities together with deep industry domain expertise, helping enterprises move from reactive fraud handling to proactive fraud prevention at scale.
False positives are reduced by combining multiple detection methods rather than relying on rules alone. Infosys BPM applies machine learning models, behavioral analytics, dynamic customer segmentation, and continuously refined rule engines to assess fraud risk with higher accuracy. The approach evaluates each transaction in context, including customer history, channel patterns, and peer group behavior, so legitimate transactions are not flagged. The outcome is faster, more accurate fraud decisions with lower customer friction and lower investigation cost.
Fraud risk profiles vary significantly by industry. Banking and financial services face account takeovers, payment fraud, and check fraud. Telecom faces revenue share fraud, SIM box fraud, and subscription fraud. Retail and e-commerce face card-not-present fraud, return abuse, and promo abuse. Utilities face billing manipulation, theft, and meter tampering. Infosys BPM delivers industry-specific fraud management solutions across each of these sectors, combining sector-specific detection models with shared analytics and investigation capabilities. Industry deep-dives are available for telecom fraud management and retail fraud management.
AI and machine learning enable fraud detection systems to identify patterns that rule-based systems miss, adapt to emerging fraud schemes in real time, and reduce manual investigation effort. Predictive models score transactions on risk in milliseconds, behavioral analytics detect anomalies in customer activity, and AI-assisted case management accelerates investigator decisions. Infosys BPM combines these capabilities with continuously refined rule engines, so enterprises benefit from both the precision of expert-defined rules and the adaptability of machine learning.
Infosys BPM fraud management engagements are governed by defined KPIs, performance dashboards, and outcome tracking from day one. Engagements measure progress against specific targets such as fraud loss reduction, false positive rate improvement, investigation cycle time, and customer experience scores. Continuous tuning of detection models, rule engines, and operational workflows ensures that fraud management performance keeps pace with evolving fraud patterns. The result is fraud capability that delivers visible, board-reportable outcomes rather than activity reports.
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