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Industries / Banking

Find Answers Hidden in Your Bank's Vast Siloed Data

Reduce losses and meet demanding risk-based compliance requirements with connected intelligence, focused investigations and faster responses to emerging risks.
Used by fraud, AML, KYC, and intelligence teams and the AI agents working alongside them.

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Where we help

Risk & Investigation Intelligence Solutions

Break free from the limitations of isolated processes. With DataWalk, you get a comprehensive and consolidated picture of risk for any entity, streamlining collaboration between risk, compliance, and intelligence teams, helping them to ensure regulatory compliance and mitigate threats.

Fraud

For fraud, DataWalk connects the data the case needs (cybersecurity, customer service, payments, devices, and external registries) into the fraud team's own workflow, so rings, synthetic identities, and shared-device patterns surface where individual controls cannot see them.

Book a Demo Explore Fraud

Analyze cybersecurity, fraud, and AML activity together on one connected model instead of in separate programs.

What you can findCompromised credentials linked to accountsDevices and infrastructure shared across casesCoordinated activity spanning business lines

Identify connected activity across accounts, identities, devices, and beneficiaries.

What you can findMule accountsStolen or manipulated identitiesShared devices and beneficiaries

Connect digital activity with the identities, accounts, devices, beneficiaries, and counterparties behind it to uncover account takeover and coordinated fraud.

What you can findAccount takeover and compromised credentialsSuspicious account and beneficiary changesShared devices, accounts, and counterparties

Reveal connections between applications that appear to come from unrelated borrowers.

What you can findSynthetic identitiesManipulated applicationsReused addresses and devices

Connect employee activity with transactions, counterparties, and external relationships.

What you can findUnusual access patternsConnected-party transactionsUndisclosed relationships and collusion
WHY BANKS CHOOSE DATAWALK

Always Ahead: Building the Safest Digital Bank in America

RETAIL BANKING · ALLY FINANCIAL

A top-25 US bank brought tens of billions of records into one connected model, then put its fraud, AML, and investigations teams on top of it.

~$20M
in fraudulent attempts identified
Tens of billions
of records analyzed collectively
19 weeks
to go live
DataWalk allowed us to bring all of our data together in one place, standardize it for the first time, and finally run true cross-business-line analysis. Before that, we were completely siloed.
Brian La RoseSenior Director of Technology, Ally Financial
Download the case study
Cover of the case study: Always Ahead: Building the Safest Digital Bank in America
TRUSTED BY BANKS AND AGENCIES WORLDWIDE
HOW IT WORKS

Connect the Dots. Keep the Controls.

01

Connect All Operation-Critical Data - go to step 1 of 4

DataWalk brings together previously siloed internal and external data critical for financial crime and intelligence operations.

02

Reveal the World Behind Rows and Columns - go to step 2 of 4

DataWalk organizes data to reflect your operations: resolving real-world objects and revealing the relationships between them.

03

See What Individual Controls Cannot - go to step 3 of 4

DataWalk lets you detect, investigate, and monitor networks, rings, layering, and suspicious patterns that individual controls cannot see.

04

Adapt as Expectations & Typologies Evolve - go to step 4 of 4

DataWalk lets you quickly adapt to new regulatory requirements, new schemes, changing tactics, and evolving hypotheses.

ALERTS & TRIAGE INVESTIGATIONS TYPOLOGIES & RULES New typology · rule v2 live KYC / CDD Tx monitoring Payments & wires SAR history INTERNAL CONTROLS Correspondent Trade finance Devices & IPs Screening hits BANKING NETWORK Registries Watchlists PEP & media Offshore leaks EXTERNAL INTELLIGENCE ONTOLOGY · ONE CONNECTED PLANE owns director receives pays Customer Account Company Wire Beneficiary Account Shell company IP address Layering · 4 hops through a shell company
NEXT STEP

Whitepapers & Research

[ View All ]
5 Reasons Why Disparate Data Blocks AI Investigation Agents
WHITEPAPER

5 Reasons Why Disparate Data Blocks AI Investigation Agents

[ Read more ]
Seeing the Unseen: Why Good AI Begins With Connected Data
WHITEPAPER

Seeing the Unseen: Why Good AI Begins With Connected Data

[ Read more ]
FAQ

Frequently Asked Questions

Find your answer

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What is DataWalk and how do banks use it?
DataWalk is a platform that connects a bank's siloed internal and external data into one enterprise knowledge graph for risk and investigation work. Fraud, AML, KYC, sanctions and intelligence teams use DataWalk to see a consolidated picture of risk for any customer, account or entity. AI agents working alongside those teams use the same connected data. Banks apply DataWalk to fraud, anti-money laundering, KYC and customer due diligence, and threat intelligence.
How does DataWalk connect data from separate banking systems?
DataWalk brings siloed internal and external data into one connected model, then resolves records into real-world objects and the relationships between them. Internal sources include KYC and CDD records, transaction monitoring, alert and SAR history, payments and wires, device and login telemetry, sanctions screening, and anything else. External sources may include corporate registries, sanctions and watchlists, PEP and adverse media, beneficial ownership data, court records and ICIJ offshore leaks databases, and anything else. Resolved objects include people, bank accounts, phones, companies and transactions.
What fraud and money laundering patterns can DataWalk help banks find?
Banks use DataWalk to find fraud rings, mule networks, synthetic identities and complex layering across accounts, devices and counterparties. For fraud, DataWalk surfaces account takeover, shared devices and beneficiaries, reused addresses on loan applications, and insider collusion. For anti-money laundering, DataWalk traces repeated flow-of-funds patterns, rapid movement, circular flows, nested correspondent banking relationships, and payment and shipment mismatches in trade-based schemes.
Can DataWalk trace beneficial ownership and monitor KYC after onboarding?
DataWalk traces beneficial ownership through multi-layer corporate structures and keeps monitoring customers after onboarding through perpetual KYC. DataWalk identifies common directors and shareholders and traces indirect ownership without manual calculation. After onboarding, DataWalk surfaces ownership changes, new counterparties and previously unknown associations. Entity resolution across sources and registries helps KYC teams establish who a customer really is, including PEP relationships.
How long does it take a bank to deploy DataWalk, and where does it run?
In a published case study, a top-25 US bank went live with DataWalk in 19 weeks and brought tens of billions of records into one connected model. DataWalk can run air-gapped, on-premises or in the bank's own cloud. The bank's own team owns the ontology, the rules and every change, so ongoing operation does not depend on the vendor.

Get More Intelligence From the Data You Already Have

Connect the signals across your existing systems, controls and external sources to uncover more fraud, money laundering and emerging threats.

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