Move from suspicious signal to reviewable fraud case

Fraud teams face time pressure and accountability pressure at once. A suspicious email, wallet, domain or account hit must be enriched quickly, but the reviewer still needs to understand what was checked and why it matters.

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Product view

Move suspicious signals into a reviewable case record

Email, wallet, domain, account and dark web findings stay connected to the same fraud case so triage can move quickly without losing reviewer context.

Artifact

EML, wallet, domain, account or source hit

Enrichment

Forensic, identity, domain and graph checks

Correlation

Linked indicators, actors, accounts and notes

Review

False-positive context and report-ready evidence

CASE TO EVIDENCE FLOW

Every output remains attached to the case

Move suspicious signals into a reviewable case record

What fraud teams get back

Faster triage

Connected indicators

Reviewer confidence

Lower false-positive drag

Where fraud triage usually breaks

A suspicious email, account hit or wallet signal often starts a chain of manual checks across separate tools. Speed matters, but every handoff can erase source context and make review harder.

Arqent AIF gives the workflow a case spine. Enrichment, correlation, analyst notes, reviewer decisions and final outputs stay attached, so teams can move quickly while preserving what was checked.

PROBLEM

Triage is too manual

Analysts jump from EML files to domains, wallets, accounts, OSINT and dark web references without a single case thread.

WORKFLOW FIX

Signals need correlation

Email, wallet, domain, identity and source context can be enriched and connected inside the same case.

OUTCOME

Reviewers need confidence

Tool results, false-positive notes, analyst decisions and report outputs stay available for review.

CONSTRAINT

False positives are expensive

The workflow must preserve source notes, confidence context and human review instead of overclaiming certainty.

Use cases

Financial crime workflows this supports

Use one reviewer-led case model for email forensics, wallet intelligence and connected fraud investigations.

Fraud / DFIR

Email forensics and BEC

A suspicious EML file needs technical analysis, enrichment, correlation and a report that a reviewer can stand behind.

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Industries

Financial Crime and Fraud

Capabilities

Email ForensicsDomain IntelligenceEvidence Storage

Outputs

Forensic findingsLinked indicatorsReviewable report

Cybercrime

Crypto wallet intelligence

Wallet findings need to connect with darknet context, actors, accounts, domains and evidence records instead of remaining isolated lookups.

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Industries

Financial Crime and Fraud

Capabilities

Wallet InvestigatorDarknet ContextOntology

Outputs

Wallet graphActor contextCase report

OSINT

Account identity investigations

Username and account signals need false-positive control, taxonomy, source notes and graph context before they become intelligence.

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Industries

Government InvestigationsCorporate Security

Capabilities

Username PresenceMaigretHoleheWorkwalls

Outputs

Identity graphReviewed hitsEvidence notes

Threat Intel

Darknet marketplace mapping

Analysts need to map marketplaces, onion relations, vendors, indicators and actor context while keeping collection governed and defensible.

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Industries

Corporate SecurityGovernment Investigations

Capabilities

Darknet SearchCustom NodesOntologyWorkwall Graph

Outputs

Relation graphEvidence artifactsThreat package

Product view

Connect fraud indicators before they become a report

Wallets, domains, email artifacts, accounts, source notes and dark web context can be correlated into a workwall before the team decides what to escalate.

Artifacts

Emails, headers, wallets, domains and account hits

Context

Source notes, enrichment results and confidence signals

Relations

How indicators connect across channels

Output

Reviewable fraud report or case update

WORKWALL AND ONTOLOGY

Findings become graph context