White Papers

Banking in an Ever Shrinking World

The world shrank. And suddenly, every second between a customer's expectation and a bank's ability to meet it became visible. This paper is about what happens when that gap closes.

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Detecting and Preventing Mobile Banking Threats: Overlay Attacks, Rooting, and Jailbreaking

This white paper explores how modern mobile threats—such as overlay attacks, rooted and jailbroken devices—compromise the security of banking apps, and provides practical guidance on detection and prevention. It emphasizes a layered, risk-based approach combining platform controls, threat intelligence, and contextual risk scoring to protect users while maintaining a seamless experience.

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Protecting Financial Services Embedded in Mobile Apps

Protect financial services embedded in your mobile app. In this paper, learn how to secure your app from the ever-expanding attack surface for digital financial crimes.

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8 Ways Financial Services Organizations Deliver Innovation and Security with the Data Cloud

Financial Services is one of the most data-intensive industries. Every day, market data, transaction data, customer data, and reference data inform critical investing, trading, and risk decisions. All within an ever-changing landscape of inflationary pressures, market volatility, geopolitical tensions, and regulatory demands.
For many financial organizations, siloed records and technology architectures can be cumbersome, along with competing data models, security, and authentication controls which can limit the data’s full potential. At Snowflake, we’re leading the way in helping the Asset Management, Payment, Banking, and Insurance sectors fully mobilize data to enable data-driven decision-making and achieve successful business outcomes.

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Orchestrating Trust at Scale: How Banks Automate High-Stakes Processes with AI Agents

Banking runs on thousands of critical processes daily: some deterministic, others requiring human judgment. Learn how Camunda helps financial institutions combine both in a single platform, automating more of the customer journey without sacrificing visibility or control. See how Goldman Sachs deployed Camunda as its core orchestration platform, processing $1+ trillion in payments across 60+ countries daily and managing 6+ million weekly human tasks. Discover how leading banks are deploying agentic AI with confidence, cutting development time by 45%, and achieving 408% ROI, while scaling securely across any cloud or on-premises environment.

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The Next Phase of Customer Engagement: Digital Banking to AI-Ready Digital Banking

This whitepaper explores how banks can move beyond digital transformation to become AI-ready organizations. It examines the role of open platforms, AI-driven personalization, and ecosystem partnerships in creating more engaging customer experiences, while offering practical insights, industry trends, and real-world case studies on the future of digital banking.

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IGNITION GUIDE: How to Switch to Post-Quantum Authentication

Post-quantum authentication is the next essential step in securing authentication systems against future quantum threats. This guide explains why organizations should start transitioning from legacy authentication methods now and outlines practical approaches to achieving quantum-ready authentication before regulatory deadlines.

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The Hidden Lever in AI-Driven Credit Risk Scoring

Banks have spent years tuning credit risk models, but this research shows that the biggest lever is not the model itself—it’s how the bank constructs and balances its data. Lexsi Labs demonstrates that by deliberately balancing defaulters and non‑defaulters, its tabular foundation models can catch more true risk while using a fraction of the data classical models need.

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VuNet's Enterprise Data Lake Platform - Introductory Perspective

Telemetry in financial institutions is exploding like never before. From cloud native workloads to regulatory scrutiny, the imperative for the BFSI segment is to store operational and transactional data. But the existing data platforms are increasingly seen as cost centers. They are often fragmented (from key value to document processing to object storage), and provide little correlation to business value.
In this whitepaper, we are reimagining the classic data storage with the following question:
How do we build a scalable, compliant, and cost-efficient data foundation that turns operational and transaction data into real-time insight and long-term intelligence?

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