White Papers

2026 Global Outlook for Banking and Financial Markets: Banking in the Tokenized Economy

Regional perspective: Gulf banking respondents (Qatar, Saudi Arabia, UAE).

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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Innovation in Retail Banking Report

Benchmarking Innovation and Technology Readiness for 2030s : Forces Redefining Retail Banking

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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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The Intelligent Core: Unlocking Accelerated Innovation in Banking

Banking is entering a phase where the ability to adapt continuously will define success. Core banking is central to that transformation. With an intelligent core, Temenos enables banks to move beyond modernization and toward a model where the core is adaptive, continuously improving and supportive to help banks deliver value and innovate throughout their ecosystem.

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The AI Security Report 2026

The AI Security Report 2026 is Check Point Research's annual analysis of how AI reshaped the threat landscape over the past year. It tracks AI's evolution from development aid to live attack operator across every major stage of the cyber attack chain.

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Paving the Path to AI-Fueled Business in Financial Services: From Automated to Augmented to Autonomous Operations

Agentic AI has the potential to transform financial services, but autonomous operations don’t happen overnight. Leading institutions are building AI in phases, starting with automation, expanding to augmented intelligence, and ultimately enabling autonomous operations.
In this IDC Spotlight paper, discover why modern data infrastructure, governance, and operational readiness are critical to scaling AI across banking, insurance, and capital markets.
In this Spotlight paper, you’ll learn:

Why successful AI adoption progresses from automated to augmented to autonomous operations
How modern data infrastructure and governance enable trusted AI at scale
What technology, regulatory, and organizational challenges financial institutions must address to realize the full value of AI

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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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Consumer Banking Report 2026: Digital Transformation Through the Lens of Your Customers

To build a true competitive edge, banks must understand the people they serve. In our latest Consumer Banking Report, we listened to 14,000 customers across 11 countries to uncover exactly what they expect from their financial institutions today.

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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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Without Rebuilding IT From the Ground Up: How One Rural Health System Secured 1,300 Endpoints Growing Its Team

A Washington state critical-access hospital and its network of clinics replaced a failing patch-management tool with ManageEngine Endpoint Central, and in the process rethought how a lean IT staff protects patient data, keeps the EHR running, and stays ahead of compliance.

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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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Strategies for Effective AI Governance

The growing integration of artificial intelligence (AI) within organizations brings significant challenges, particularly concerning governance. As AI becomes more ingrained in decision-making processes, the potential for unintended repercussions increases, posing risks to customers, employees, communities, and society at large. The task of AI governance is to navigate this landscape by establishing a robust framework that addresses ethical, legal, and societal concerns. Without structured governance, the potential to breach legal norms and ethical standards escalates, threatening trust and safety.

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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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From AI Strategy to AI at Scale: The GCC Enterprise Playbook 2026

AIQU’s Agentic AI Playbook 2026 explores how enterprises can move from AI pilots to production-ready, governed Agentic AI solutions, integrated into existing technology ecosystems and built to deliver measurable business outcomes.

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Why Banks Are Underwriting AI Wrong: From Use Case Catalogs to Capital Allocation

Explores why banks must shift AI investment from fragmented use cases to a disciplined capital allocation and governance approach.

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Remi Interbank Network

The Remi Network is structured for inter-financial institutions collaboration among regulated financial institutions and their qualified institutional counterparties. The Network supports cross-border transactions activity using blockchain technology, with structured messaging, compliance data tooling, and on-chain settlement.

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