Controlled AI. Real results.

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.

Human approvalSources attachedAirgapped ready

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

EVIDENCE TRAIL

Every result stays linked to its sources

Move suspicious signals into a reviewable case record

What fraud teams get back

Faster triage

Start from the suspicious artifact and route enrichment without rebuilding the case by hand.

Connected indicators

Bring email, wallet, domain, identity and dark web context into one evidence-backed thread.

Reviewer confidence

Preserve tool outputs, notes, uncertainty and analyst decisions for escalation or closure.

Lower false-positive drag

Keep confidence context visible so the workflow supports review rather than overclaiming certainty.

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 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.

OSINT

OSINT analysis

Operators collect and assess open sources – usernames, email registrations, domains, social and messaging channels including Telegram, and commercial OSINT such as Fivecast ONYX. Every hit gets a source note and a false-positive check before it becomes a finding.

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Systems and sources

Fivecast ONYXUsername and email checksTelegramWeb and domain sources

What the operator does

Collection under policyFalse-positive controlAssessment with confidence

Results

OSINT assessmentReviewed hitsSource notes

Threat intelligence

Darknet intelligence

Find and map onion services, marketplaces, vendors and indicators – with darknet search, an isolated Tor browser and analysis of the Tor relay network. Collection stays governed, and every artifact stays attached to the case.

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Systems and sources

Darknet searchIsolated Tor browserTor relay data

What the operator does

Onion discoveryMarketplace and vendor mappingRelay and operator analysis

Results

Relation graphEvidence artifactsThreat package

Financial investigations

Crypto wallet intelligence

Wallets found on the darknet or in seized material are analysed, linked wallets are traced and connected to actors, accounts and domains in the case graph.

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Systems and sources

BTC and ETH walletsDarknet context

What the operator does

Wallet analysisLinked walletsActor correlation

Results

Wallet graphActor contextCase report

Financial crime and compliance

Sanctions screening

Persons, organisations, vessels and aircraft are screened against sanctions lists. Matches, list entries and the reviewer decision are documented in the case.

Discuss this use case

Systems and sources

Sanctions listsCase data

What the operator does

Entity matchingHit reviewDecision log

Results

Screening reportDocumented decisionAudit trail

Fraud and DFIR

Email forensics and BEC

A suspicious email is analysed – headers, domains, links and attachments – enriched, correlated with the case and turned into a report a reviewer can stand behind.

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Systems and sources

EML filesDomain intelligence

What the operator does

Header and link analysisIndicator enrichmentCorrelation

Results

Forensic findingsLinked indicatorsReviewable report

Digital forensics

Image and media forensics

Images are checked for metadata, hidden content and manipulation, text is extracted and translated, and a sanitized copy plus a signed evidence bundle go into the case.

Discuss this use case

Systems and sources

Images and screenshots

What the operator does

Metadata and steganography checksOCR and translationSigned evidence bundle

Results

Forensic reportSanitized copyEvidence bundle

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 case graph 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

CASE GRAPH

Findings become connected context