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Solutions / Investigations

Intelligence-Led Investigations

Criminals thrive within global networks, move money rapidly, and adapt as fast as geopolitical opportunities appear.
Fully utilize your data and investigate like never before: find unknown threats before they escalate and close cases faster with stronger evidence.

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THE CHALLENGE

While You Build Context, Criminals Push Ahead.

  1. Can you investigate in seconds whether a thematic risk is present, and monitor how it develops over time?

  2. Can you automatically uncover connections between subjects of interest, even when they are separated by many degrees?

  3. Do your investigations lose momentum to lengthy data gathering, complex interpretation, and slow hypothesis testing?

THE SOLUTION

DataWalk For Connected Investigations

Step 01

Connect All Your Operation-Critical Data

DataWalk connects your previously siloed internal and external data relevant to your investigations: from crime and intelligence records to financial crime data, cybersecurity, telemetry, and anything else.

Case & incident recordsClaims & disputesAlert & case historyPayments & transfersDevice & network logsOther systemsMonitoring & detectionPEP & adverse mediaBeneficial ownershipCorporate registriesSanctions & watchlistsCourt & legal recordsOther sourcesOffshore leaks & ICIJ
DeviceOrganizationPersonTransactionIP address

Step 02

Reveal the World Behind Rows and Columns

DataWalk organizes data to reflect your investigative environment: resolving real-world objects and revealing the relationships between them. Never assemble context from scratch again.

Step 03

Find the Unknown Fast

Investigate collaboratively across the whole landscape: use link charts, maps, search, no-code queries, text analysis, and AI on the same connected picture.

DeviceOrganizationPersonTransactionIP addressShared device4 subjectsShared IP3 subjectsHidden network6 hops
Case & incident recordsClaims & disputesAlert & case historyPayments & transfersDevice & network logsOther systemsMonitoring & detectionPEP & adverse mediaBeneficial ownershipCorporate registriesSanctions & watchlistsCourt & legal recordsOther sourcesOffshore leaks & ICIJ[ + ][ + ]DeviceOrganizationPersonTransactionIP addressCell-site dataBlockchain analyticsBTS stationWallet

Step 04

Adapt as Criminals Change Their Operations

DataWalk lets you quickly adapt to new schemes, new networks, and evolving hypotheses.

AGENTIC AI

AI Investigations Inherit Your Blind Spots.

Learn more about AI with DataWalk

DataWalk gives agents connected enterprise knowledge and an analytical engine to work through complex investigations at scale.

Ground their answers in computed, deterministic results, not probabilistic guesses, while keeping access under your control.

Let Agents Use What You Already Know
Every new agent connects through the same shared model: resolved entities, mapped relationships, shared investigative definitions, already in place. Fewer tokens rebuilding context. More of the budget answering the question.
Every Answer, Under Your Control
Every agent request runs under the caller's DataWalk permissions, enforced at query time, logged for review, and traceable back to the records that produced it.
AI Agent
Find people behind this suspicious transfer network
AUDIT TRAIL verifiable intermediate steps
  • People 11.1M → 2
  • Bank 20.4M → 6
  • Tx 27.3B → 782
  • Bank → 156
  • Tx → 60.6k
Ask a follow-up…
PROOF

The Impact

Hours, not weeks
to close complex cases
$10–100M+
saved by thwarting crimes
<20 weeks
to go live
11.1MPEOPLE20.4MBANK ACCOUNTS27.3BTRANSACTIONS14.2MPHONES8.7MADDRESSES62.5kBTS STATIONS
CUSTOMER SUCCESS

Investigation Success Across Banks, Government, and Enterprise

Seal of the U.S. Department of Justice
PRESS RELEASE
U.S. DEPARTMENT OF JUSTICE
MONEY LAUNDERING, NARCOTICS AND FORFEITURE SECTION
DataWalk supports the most complex and high-impact investigations at DOJ MNF.
FINANCIAL CRIMEASSET FORFEITURE
[ Read the press release ]
RETAIL BANKING · ALLY FINANCIAL

Always Ahead: Building the Safest Digital Bank in America

With DataWalk, Ally Financial brought fraud, AML, and cyber data into one place, connected and standardized it for the first time, and now runs true cross-business-line investigations instead of working in silos.

~$20M
in fraudulent attempts identified
19 weeks
from kickoff to going live
[ Read the case study ]
Cover of the case study: Always Ahead: Building the Safest Digital Bank in America
ENTERPRISE · FORTUNE 500

Cracking a $5.7M Fraud in 120 Minutes

A Fortune 500 company struggling with an unsolved four-week fraud investigation cracked the case in two hours with DataWalk. Working inside their own data, the complex investigation team found definitive proof that merchants had used illicit methods, building a $5.7 million fraud case.

$5.7M
fraud case built
120 minutes
instead of four weeks of investigation
[ Read the case study ]
USE CASES

Intelligence-Led Investigations, Whatever the Case

Financial Institutions

Customers, accounts, payments and counterparties across every business line.

With DataWalk you can maximize compliance and investigate layering, mule networks and beneficial ownership across the full customer population instead of one account at a time.

SignalsRapid movement and circular flowsShared beneficiaries and flow-of-funds patternsMulti-layer ownership traced automatically

Connect fraud signals across systems and business lines to expose the coordinated activity behind individually unremarkable events.

SignalsRings across accounts, devices and addressesCross-business-line activity in one viewLosses quantified case by case

Go beyond name screening and investigate ownership, control and indirect exposure to sanctioned parties.

SignalsIndirect and 50 percent rule exposureOwnership and control structuresCounterparty and correspondent relationships

Resolve who a customer really is and what they are connected to, at onboarding and continuously afterwards.

SignalsEntity resolution across sources and registriesOwnership and PEP relationshipsOwnership changes surfaced after onboarding

Triage alerts with the full context already attached, so analysts decide from connected evidence instead of assembling it by hand.

SignalsContext attached to every alertRelated alerts grouped into one caseRepeat false positives suppressed
RESOURCES

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 ]

Use the Intelligence Already Hiding in Your Data

Fully utilize the data you already hold: uncover unknown threats before they escalate, and close complex cases in hours instead of weeks.

FAQ

Frequently Asked Questions

Find your answer

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What is DataWalk's approach to intelligence-led investigations?
DataWalk's investigation solution connects previously siloed data, including crime and intelligence records, financial crime data, cybersecurity telemetry, and anything else, then resolves it into real-world objects such as people, organizations, and devices to reveal the relationships between them. Investigators can work across link charts, maps, search, no-code queries, text analysis, and AI on the same connected picture, and can adapt as criminals change schemes, networks, or hypotheses.
How does DataWalk combine data from separate systems into one investigation?
DataWalk combines internal sources such as case and incident records, claims and disputes, alert and case history, payments and transfers, and device and network logs with external intelligence such as PEP and adverse media, beneficial ownership, corporate registries, and watchlists. It resolves this data into objects like people, organizations, transactions, and IP addresses, so investigators see relationships instead of rows and columns from separate systems.
Why do traditional investigation tools miss connected criminal activity?
Traditional investigation tools assess each activity in isolation, so a transaction with no flag, a low-risk alert, and a closed case can each look unremarkable on their own even though they belong to the same scheme. DataWalk addresses this by assembling the true scale of an operation across systems, since criminals reroute around single-system checks by adapting how they move money and structure their networks.
In DataWalk, how do AI agents investigate a case?
In DataWalk, AI agents explore the connected data graph step by step, viewing the evidence returned at each step before deciding where to go next, rather than inferring relationships from isolated records. This produces traceable answers using fewer tokens, and DataWalk runs these reasoning paths at scale without requiring teams to rebuild joins or reshape schemas for each new workflow, since every step is inspectable and can be reviewed.
How long does it take to deploy DataWalk for investigations?
DataWalk reports go-live timelines under 20 weeks for complex investigation deployments. Ally Financial went from kickoff to live in 19 weeks after bringing fraud, AML, and cyber data into one place for the first time. Once running, DataWalk has helped teams close complex cases in hours instead of weeks. For example, a Fortune 500 company had unsuccessfully investigated a fraud for four weeks, and then solved the $5.7 million fraud with DataWalk in 120 minutes.
Can DataWalk be deployed on-premises or air-gapped?
Yes, DataWalk can run air-gapped, on-premises, or in a customer's own cloud, with the deployment location kept separate from control over the platform. The customer's team owns the ontology, the rules, and every change made to it, so governance of the investigation environment stays with the organization rather than the vendor, regardless of where the system is hosted.