After the alert: Rethinking how we investigate financial crime
TL;DR · AI 摘要
核心要点
- 文章正文缺失，仅提供网站导航结构，无实质技术内容。
- 标题暗示金融犯罪调查需从人工告警处理转向自动化与数据驱动。
- 缺乏具体架构、工具实践或原理分析，无法指导工程落地。
Rethinking fraud investigation with Elastic | Elastic Blog
New
Forrester Wave Leader, Q2 2025
About usPartnersSupport|ENLogin
[](http://www.elastic.co/)
- Elasticsearch
##### Elasticsearch for...
- ###### Context engineering Get the most relevant context to agents so that they deliver accurate and trusted outcomes
- ###### Vector database Efficiently create, store, and search vector embeddings
- ###### Search powered applications The speed, scale, and flexibility to power modern application experience
- ###### Logs Collect, search, explore, and act on large volumes
- ###### Threat protection Detect, investigate, and remediate cyber threats at scale on real-time data
- ###### Workflows Combine scripted automation with AI reasoning natively in Elasticsearch
##### Elasticsearch components
- ###### Elasticsearch A distributed, RESTful search and analytics engine
- ###### Kibana (Discover, Dashboards) Explore, visualize, and build dashboards using data stored in Elasticsearch
- ###### Elastic Agent Builder Build context-aware agents faster that incorporate all your data and deliver best-in-class relevance.
- ###### AutoOps Easy cluster management with performance recommendations, resource utilization, and cost insights
- ###### Piped query language Simplify workflows and accelerate query response for efficient data processing
- ###### Jina AI search models Jina AI is part of Elastic, bringing best-in-class models for embeddings, rerankers, and URL and doc extraction
##### Deployment options
- ###### Elastic Cloud Serverless Zero operational load so that you can build fasterStart free trial
- ###### Elastic Cloud Hosted Deploy and scale on any cloud in minutes with ultimate controlStart free trial
- ###### Self-managed Elasticsearch Run locally, via Kubernetes, or your own orchestrationDownload
- Solutions
##### Search
- ###### Ecommerce search Improve customers' search experience and drive conversion
- ###### Customer support search Help customers find support information quickly and easily
- ###### Search-driven apps Create engaging apps quickly and easily with Elasticsearch
##### Observability
- ###### Log analytics Centralize and analyze logs using Search AI to detect, investigate, and remediate incidents
- ###### Infrastructure monitoring Monitor, visualize, and analyze the health of your on-premises and cloud infrastructure
- ###### Digital experience monitoring Improve users' experience with real user monitoring (RUM), synthetic testing, and uptime monitoring
- ###### App performance monitoring Monitor, visualize, and analyze the performance and availability of your applications
- ###### AIOps Automatically detect, diagnose, and resolve issues faster with GenAl and ML
- ###### LLM observability Monitor and optimize LLM performance, cost, safety, and reliability
##### Security
- ###### Next-gen SIEM Detect, investigate, and respond to evolving threats with Al-driven security analytics
- ###### Workflows for security Automate alert triage, enrichment, and response natively. No separate SOAR required.
- ###### XDR and endpoint security Secure your endpoints, clouds, and containers with AI-driven insights
- ###### AI for security Automate your triage, investigation, and response workflows with Search AI
- Enterprise
##### Why Elastic?
##### Industry
Financial servicesManufacturingPublic sectorRetailTelecommunicationsView all industries
##### Better together
- ###### Cloud providers Deploy with your favorite cloud marketplace: AWS, Azure, or Google Cloud
- ###### Elastic AI Ecosystem Use Elastic with built-in integrations with leading Al technology providers
- ###### Search AI Partner Program Partner with Elastic so we can find the answers, together
##### Accolades
- ###### AV-Comparatives Elastic earns Endpoint Prevention and Response Certification from AV-Comparatives
- ###### Forrester Wave™ Leader A Leader in The Forrester Wave™: Security Analytics Platforms, Q2 2025
- ###### Gartner Magic Quadrant Leader A Leader in 2025 Gartner® Magic Quadrant™ for Observability Platforms
- ###### IDC MarketScape Leader Leader in IDC MarketScape: Worldwide SIEM for Enterprise 2024
##### Customers
[Search Docusign powers millions of e-signature searches daily with Elasticsearch](http://www.elastic.co/customers/docusign)
[Security UOL slashes incident resolution time by 80% with Elastic Security](http://www.elastic.co/customers/uol)
[Observability Pepsi boosts efficiency and reduces MTTR by 30% with Elastic Observability](http://www.elastic.co/customers/pepsico)
- Resources
##### Launch
- ###### Get started Follow along with beginner guides for each solution
- ###### Demo gallery Play in our hands-on sandbox and watch how-to videos
- ###### Downloads Download Elasticsearch now to get started for free
- ###### Integrations Easily connect Elasticsearch to all the systems that matter
##### Learn
- ###### Docs Learn how to use all of Elastic's products and features
- ###### Elasticsearch Labs Learn how to build with the latest features and abilities
- ###### Elastic Security Labs Understand the threat horizon and see the latest research
- ###### Elastic Observability Labs Explore what's next in monitoring and metric trends
- ###### Blog Read all of the latest company news from Elastic's blog
##### Connect
- ###### Community Join our community of developers on Slack, GitHub, and more
- ###### Events Attend your local meetups, workshops, and Elastic{ON}
- ###### Webinars Check out Elastic webinars and learn directly from our experts
- ###### Discuss Share tips, ask questions, and learn from other developers
##### Get help
- ###### Training Learn Elastic for free and expand your skills with our courses
- ###### Support Get expert advice on your Elasticsearch deployments for fast resolution
- ###### Consulting Drive success with custom support and consulting services
Search
Table of Contents
Table of contents
- Close
After the alert: Rethinking how we investigate financial crime
Learn how Elastic helps financial institutions optimize investigation workflows, surface hidden patterns, and reduce time of investigation.
By
April 15, 2026
- 
Share on Twitter](javascript:void(0))Share on Twitter - 
Share on LinkedIn](javascript:void(0))Share on LinkedIn - 
Share on Facebook](javascript:void(0))Share on Facebook - 
Share by Email](javascript:void(0))Share by Email - 
Print this page](javascript:void(0))Print
###### Summary
- Elastic provides AI-assisted fraud investigationthat reduces case triage time for financial institutions.
- Cross-cluster searchunifies transaction, telemetry, and customer data across teams without moving data.
- ES|QL and AI agentsautomate mule scoring, velocity analysis, and suspicious activity report generation.
- Elasticsearch logsdb index modecuts storage costs by up to 60% for multi-year regulatory retention.
Financial services has invested heavily in fraud prevention. The industry stops the majority of attempted fraud before it reaches customers by leveraging real-time transaction monitoring, behavioral scoring, and device fingerprinting. In the UK alone, the industry prevented £870 million of attempted fraud in the first half of 2025, blocking 70 pence of every pound criminals tried to steal — but _£629 million still got through_.
That figure, drawn from UK Finance’s Half Year Fraud Report 2025,1 represents 2.1 million confirmed cases requiring investigation, triage, or reporting — a 17% increase year over year. The global picture is even starker; the Global Anti-Scam Alliance 2 estimates worldwide scam losses at over $1 trillion annually.
Prevention systems are doing their job. The question facing fraud teams today is not how to build better walls, but what happens once someone gets over them? The investigation layer — the work that turns an alert into an outcome — is where the bottleneck sits.
And the cost of that bottleneck is rising. The UK’s Payment Systems Regulator now requires banks to reimburse Authorised Push Payment (APP) fraud victims within five working days, splitting liability 50/50 between sending and receiving institutions.3 With APP fraud reaching £257.5 million in H1 2025 alone, investigation speed now translates directly to balance sheet impact.
Closing the gap with Elastic
Elastic’s focus in the fraud space is on investigation and analytics — the work that happens after an alert fires, a customer reports a loss, or a suspicious pattern emerges. It operates as a _system of intelligence_ alongside your systems of record, complementing existing prevention tools with the analytical depth needed to turn alerts into outcomes.
Several leading fraud prevention vendors already use Elasticsearch as part of their own infrastructure. For financial institutions already running Elastic for security, observability, or search, fraud investigation capabilities can be added to existing deployments or connected via cross-cluster search (CCS).
Making the investigation scalable with AI
With over two million cases 4 in a single half-year _and growing_, investigation teams cannot scale through headcount alone. AI-assisted triage changes this equation. When an analyst receives a case, an AI agent can have already assessed the transaction against the customer’s behavioral baseline, scored the receiving account for suspicious characteristics, and surfaced similar cases. The analyst’s role shifts from data gathering to judgement, which is where human expertise adds the most value.
Elastic Agent Builder enables the creation of purpose-built investigation agents using Elasticsearch Query Language (ES|QL) queries packaged as tools like mule scoring, velocity analysis, layering detection, and Confirmation of Payee checks. Agents decide which tools to invoke based on case context and integrate with any large language model (LLM) through open standards, including vLLM, MCP, and agent-to-agent (A2A) protocols.
Bring the full data picture into the investigation
Fraud investigators need far more than transaction records; customer profiles, application telemetry, device metadata, call center logs, and external intelligence all carry investigative value. A payment that looks unremarkable in isolation might tell a very different story when combined with login behavior, device changes, or a pattern of recent customer service calls. In practice, much of this data sits unused, not because it lacks value but because different teams own different data sources — each behind its own access policies and technology constraints.
Elastic’s cross-cluster search capability addresses this directly: Transaction data stays in the banking cluster, application telemetry stays in the observability cluster, and investigators search across both in a single request with full role-based access controls (RBAC) and audit trails. Login patterns, device changes, session telemetry, and customer service interactions all become discoverable alongside payment records.
Query flexibly with ES|QL
ES|QL gives investigators the ability to explore data in ways that predefined dashboards cannot support. In real time, it can:
- Filter transactions by velocity thresholds
- Group by receiving account
- Correlate payment timing with login behavior
- Aggregate across millions of records to surface outliers
When combined with AI agents, ES|QL queries become the tools that power automated investigation while remaining available for ad-hoc, analyst-driven exploration in dashboards.
Automate compliance and reporting
Workflow automation orchestrates end-to-end processes from alert through case creation to suspicious activity report generation. AI agents can draft SARs with full narrative and evidence trails. Case management provides the unified audit trail required for Payment Systems Regulator (PSR) mandatory reimbursement within the five-day deadline.
Scale affordably
Elasticsearch logsdb index mode reduces storage costs by up to 60% for transaction data, making multi-year regulatory retention economically viable. Tiered storage from online to searchable archive automatically manages data lifecycles across seven years or more. Elastic handles billions of events and petabytes of data daily for security use cases worldwide; fraud investigation data volumes are well within its operating envelope.
The Elastic fraud investigation platform from data sources to investigation outcomes
The bottom line
The organizations that will manage fraud most effectively are not necessarily the ones with the best prevention walls. They are the ones with the fastest, most connected investigation capability behind those walls. The faster you can understand what happened, find related cases, and act on the findings, the better the outcome for victims, compliance, and the bottom line.
Elastic gives fraud teams the unified data platform and AI assistance to investigate at the speed the threat demands.
What’s next?
In part two of this blog series, we will walk through the technical architecture: the data model, ES|QL queries, and cross-cluster search configuration that power the platform. Part three will cover the AI agents and workflow automation in detail, illustrated with a worked investigation scenario.
Ready to explore Elastic for fraud investigation?**Talk to our financial services team**about a proof of concept with your data, an architecture review of your current fraud stack, or a strategic discussion on how Elastic fits your fraud roadmap.
Sources
_The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all._
Share
- )Share on Twitter
- )Share on LinkedIn
- )Share on Facebook
- )Share by Email
- )Print
Sign up for Elastic Cloud free trial
Spin up a fully loaded deployment on the cloud provider you choose. As the company behind Elasticsearch, we bring our features and support to your Elastic clusters in the cloud.
Follow us
- 
- 
- 
- 
- 
- About us About ElasticLeadershipBlogNewsroom
- Join us CareersCareer portalHow we hire
- Partners Find a partnerPartner loginRequest accessBecome a partner
- Trust & Security LegalTrust centerPrivacyTrade ComplianceEthics & Compliance
- Investor relations Investor resourcesGovernanceFinancialsStock
- Excellence Awards Previous winnersElastic{ON} TourBecome a sponsorAll events
About us
Join us
Partners
Trust & Security
Investor relations
Excellence Awards
© 2026. elasticsearch B.V. All Rights Reserved
This website and all associated content, software, discussion forums, products, and services are intended for professional use only. No consumer use of this website or its content is intended or directed.
Elastic, Elasticsearch, and other related marks are trademarks, logos, or registered trademarks of elasticsearch B.V. in the United States and other countries.
Apache, Apache Lucene, Apache Hadoop, Hadoop, HDFS and the yellow elephant logo are trademarks of the Apache Software Foundation in the United States and/or other countries. All other brand names, product names, or trademarks belong to their respective owners.