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How Financial Services Are Using AI to Detect and Prevent Fraud
AI in BFSI leverages predictive intelligence, agentic AI, and workflow orchestration to detect and prevent fraud in real time. Scalable AI models power transaction monitoring, identity verification, and fraud scoring, while hybrid-cloud platforms, event-driven architecture, and microservices transformation enable high-volume resilience. DevSecOps and CI/CD pipelines support governance and continuous model modernization.
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Orchestrating Modular AI Workflows with Cloud-Native Foundations
Microservices and serverless functions act as the core engines of AI modularity, enabling loosely coupled, domain-specific intelligence. Event-driven triggers initiate real-time workflows, while AI Fabric connects distributed agents, models, and datasets across platforms. Combined with DevSecOps automation and continuous optimization, enterprises unlock adaptive intelligence that scales horizontally and evolves in sync with dynamic business conditions.
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