Financial services

AI in financial services. Accelerated.

Buzzwords don't solve problems. Elastic does. From hyper-personalized customer experiences to AI-powered insights for employees, generative AI presents an opportunity for financial services organizations. See how you can put it to work and where to start.

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Financial institutions must adapt — fast

You're sitting on a goldmine of untapped data. Put it to work with AI.

  • Fraud moves fast. Legacy tools don't.

    Legacy systems can't keep pace with modern fraud. Without scalable, real-time analytics, teams miss early warning signs and struggle to stop fast-moving threats before damage is done.

  • Manual regulatory compliance doesn't scale

    Scattered data slows audits and makes compliance reactive. Manual processes across systems eat away at resources, increase costs, and leave oversight gaps.

  • Observability gaps hurt uptime and performance

    When infrastructure lacks end-to-end visibility, incidents linger in the background, downtime grows, and performance suffers.

  • Siloed data, hidden risks

    When data is trapped in disconnected legacy tools, critical insights stay locked away. Blind spots grow, threats slip through unnoticed, and bad actors gain an edge. Leading with security protects both the enterprise and its customers from loss — and preserves brand equity.

  • Risk modeling stuck in the past

    Batch-driven models run on stale data, leaving risk assessments outdated before they're even complete. In volatile markets, real-time insight isn't optional — it's survival.

  • Rising customer expectations

    Customers demand seamless, secure, and personalized experiences — pushing financial institutions to innovate without sacrificing trust. Falling short risks customer attrition and unrepairable reputational damage.

Intelligent banking in the AI age

Financial institutions are facing escalating threats — from GenAI-enhanced fraud to complex compliance demands — while still needing to preserve customer trust. Learn how to shift from digital to intelligent banking by unifying real-time analytics across fraud, security, compliance, and IT operations.

UNLOCK INSIGHT AND ACCELERATE GROWTH

Cash in on your wealth of data

Elastic helps financial institutions harness all their data to uncover insights, optimize operations, and deliver secure, high-performance solutions — without limits on speed or scale.

  • Banking and payments

    Enhance retail and institutional banking experiences. Track every payment in real time, detect fraud proactively, and optimize application performance —while ensuring compliance with PCI DSS.

    Explore banking solutions

  • Capital markets

    React at market speed. Ensure high-frequency, low-latency trading performance, while capturing and correlating data across systems to assess and mitigate risk.

    Explore capital market solutions

  • Insurance

    Insurers face rising customer expectations, complex data, and escalating risk. Real-time insights help improve experiences, detect fraud, and streamline operations.

    Explore insurance solutions

  • Fintech

    Scale your offering with confidence, leaning on tools that empower your team to deliver innovative and secure solutions. See how Priority cut platform maintenance in half, freeing up critical IT resources for innovation.

    Read Priority's story

Turning data into your strategic advantage

Learn how financial services leaders unlock real-time insights to protect against fraud, build customer trust, and accelerate innovation — at speed and scale.

  • Customer spotlight

    PSCU realized $35 million in fraud prevention savings in less than 18 months. Mean time to knowledge decreased by more than 99%.

    Learn more

  • Customer spotlight

    Fueling digital transformation, multiple development teams can work together more efficiently by drawing on a single source of truth.

    Learn more

  • Customer Spotlight

    Empowering developers, J.P. Morgan and Elastic are ensuring the future of payments is fast, efficient, and easy.

    Learn more

Search USE CASES FOR AI IN FINANCIAL SERVICES

AI-first search and analytics

Elastic powers faster search and smarter analytics, helping financial institutions uncover insights and act on them in real time.

  • Smarter conversations. Sharper answers.

    Elastic brings GenAI to banking with context-aware search and conversational customer support. Customers get faster answers, accurate transactions searches, and more relevant, personalized experiences.

    Explore GenAI use cases in banking

  • Why we're the most-deployed vector database

    Elastic transforms fragmented structured and unstructured financial data into a semantic layer for AI. The result: smarter fraud detection, stronger compliance, and personalized customer experiences.

    Learn more about vector databases

  • Go from a single query to an AI-powered chat

    Elastic's Agent Builder turns enterprise data into secure, explainable AI agents — accelerating insights, boosting efficiency, and extending the power of Elasticsearch across the business.

    Build a financial AI agent

  • Payments, without the bottlenecks

    Elastic and SWIFT are transforming global payments by delivering real-time insights across complex, distributed systems. Financial institutions gain the speed, reliability, and visibility needed to scale securely.

    Tackle tackling infrastructure complexity

Security USE CASES FOR AI IN FINANCIAL SERVICES

Fraud detection and financial crime prevention

Data is your most efficient weapon against fraud. Elastic helps financial services institutions make the most out of it.

  • Defend against account takeovers

    Elastic detects password spraying, enumeration, and brute-force attacks — enabling analysts to respond quickly to active threats.

    More on AI-powered fraud detection

  • Expose hidden patterns in account behavior

    AI-driven pattern detection spots unusual account activity, helping financial institutions identify before it escalates.

    Strengthen fraud detection with AI

  • AI-driven protection at enterprise scale

    Elastic enhances fraud detection with a distributed data mesh architecture and AI-driven analytics — scaling protection without added complexity.

    How AI is Influencing fraud

USE CASES FOR AI IN FINANCIAL SERVICES

Better together: Observability + SIEM

Gain full visibility at a lower cost — without slowing down performance.

  • See everything. Miss nothing.

    Ingest and analyze petabytes of data across clouds and regions in real time. Access years of security data instantly and onboard custom sources in minutes.

  • Stop threats before they start

    Leverage expert-built detection rules and prebuilt machine learning jobs to uncover unknown threats with Elastic's MITRE-aligned rules and customizable models.

  • Elevate in-house analysts

    Empower every skill level with GenAI, guided investigation workflows, and real-time search — so analysts focus only on the threats that matter.

In the cloud or on the ground

Deploy Elastic anywhere — hosted, serverless, or self-managed.

  • Elastic Cloud Hosted

    Deploy on your preferred cloud providers — AWS, Azure, or Google Cloud. Elastic is FedRAMP Moderate Authorized on AWS GovCloud (US) and has received an in-process designation for FedRAMP High.

  • Elastic Cloud Serverless

    Go serverless and let Elastic host and manage it all. No provisioning, no stress.

  • Hosted by you

    Run Elastic where you need it — on-premises, hosted, or hybrid cloud. Download, install, and manage deployments with orchestration tools built for flexibility.

Financial services resource hub

  • Observability analyst report

    Elastic recognized as a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms for the second year in a row

    Download the report

  • Security analyst report

    Elastic named a Leader in The Forrester Wave™: Security Analytics Platforms, Q2 2025

    Download the report

  • Maximize capital markets performance

    Capital markets firms improve uptime, maximize performance, and prevent catastrophic attacks with Elastic

    Download the ebook

Financial services FAQ

What are the main applications of AI in financial services?

The main applications of AI in financial services include fraud detection, risk management, personalized customer experiences, regulatory compliance, and operational efficiency. From anomaly detection and behavioral analytics to LLM monitoring and document processing, Elastic leverages AI in financial services to accelerate decision-making and reduce risk.

How does Elastic use AI to improve financial services?

By focusing on a solid data foundation, Elastic helps financial institutions maximize the value of AI. With retrieval augmented generation (RAG), vector search, and Elastic’s Better Binary Quantization (BBQ), organizations can improve AI efficiency and better outcomes in risk analysis, fraud detection, and compliance. Elastic also enables agentic AI workflows, where autonomous agents interpret real-time data and perform multi-step tasks without manual intervention.

What benefits can financial institutions expect from implementing AI?

The benefits of AI in financial services include enabling faster, more confident decisions, reduced operational costs through tool consolidation, stronger compliance with automated reporting, and improved customer retention through personalized, responsive services.

How does AI help with fraud detection in banking?

Your strongest defense against fraud is your data. Elastic powers fraud detection by processing and analyzing vast volumes of information, helping institutions eliminate blind spots as they scale. This strengthens protection across partners, clients, and systems — and remains reliable as new threats emerge.

Is AI in financial services compliant with regulatory requirements?

Artificial intelligence in financial services can be deployed to meet strict regulatory compliance standards. Elastic supports explainable AI, immutable logs, and role-based access controls to help organizations comply with GDPR, PCI DSS, SOX, and other requirements — ensuring that AI adoption in financial services is transparent and audit-ready.

What challenges do financial firms face when adopting AI?

AI adoption in financial services is often slowed by siloed systems, legacy infrastructure, model governance requirements, and the cost of scaling AI for finance industry workloads. Elastic’s open, AI-native platform overcomes these challenges by unifying data sources and enabling cost-efficient AI and automation.

How can Elastic's AI solutions handle large-scale financial data?

Elastic enables financial institutions to manage large-scale data by unifying fragmented systems and supporting real-time AI-driven insights. With technologies like vector search, retrieval augmented generation (RAG), and Better Binary Quantization (BBQ), Elastic optimizes data processing for speed and cost-efficiency. This allows AI models to reliably analyze vast amounts of structured and unstructured data, enhance customer interactions, and improve overall performance.

Can AI improve customer experience in financial services?

Generative AI in financial services enhances customer experience through  personalized recommendations, conversational self-service, and real-time query resolution. The Elasticsearch Platform uses AI and automation in financial services to quickly connect customers with the right financial products and information.

What role does machine learning play in financial risk management?

Machine learning in the financial industry supports predictive credit scoring, portfolio optimization, and liquidity risk forecasting. The Elasticsearch Platform enables financial institutions to run simulations, detect emerging risks, and proactively respond to market changes.

How is Elastic different from other AI providers in the financial industry?

Elastic stands out from other AI solutions for financial services with its open source, AI-native search platform. Integrated generative AI, anomaly detection, and vector search — without vendor lock-in. This makes it ideal for both traditional AI in use cases and modern generative AI applications.

What types of financial institutions benefit most from AI technologies?

AI in the financial industry benefits retail banks, investment firms, insurance companies, and fintechs. From fraud prevention and compliance to generative AI use cases like document summarization and client reporting, these organizations achieve greater efficiency and stronger customer engagement.

How do Elastic's AI tools integrate with existing financial systems?

Elastic's AI and automation in financial services integrate through APIs, native connectors, and agentless ingestion options for platforms like Kafka, Snowflake, AWS, and Azure. This makes deploying AI in banking and financial services faster and less disruptive.

Financial services should prepare for expanded use of generative AI, AI-driven regulatory reporting, hyper-personalized banking experiences, and autonomous decision-making systems that blend AI in finance with human oversight.