Controlled AI. Real results.

From open-source hits to an assessment you can defend

Operators collect open sources under policy – usernames, email registrations, domains, social and messaging channels including Telegram, and commercial OSINT such as Fivecast ONYX. Every hit is checked, every finding keeps its source, and the analyst decides what goes into the assessment.

Human approvalSources attachedAirgapped ready

Product view

Open sources in, assessed findings out

Operators run the collection, check every hit and connect what holds up in the case graph. The analyst gets an assessment – not a list of raw hits.

Sources

Usernames, email registrations, domains, social and messaging channels, commercial OSINT

Check

Cross-source comparison and false-positive marking

Graph

Accounts, addresses, domains, wallets and locations with sources

Output

Assessment with confidence and open questions

CASE GRAPH

Findings become connected context

Open sources in, assessed findings out

What OSINT teams get back

Less manual collection

Operators query the approved sources and bring the results into the case.

Fewer false positives

Hits are compared across sources and marked before they reach the assessment.

Findings with sources

Every link in the case graph shows where it came from and how it was checked.

Faster assessments

The analyst reviews a prepared assessment instead of assembling it from tabs and screenshots.

Where OSINT work usually breaks

Open-source tools return many hits fast, but a hit is not a finding. Without source notes and checks, a list of matches turns into false confidence.

Arqent operators collect under policy, check every hit, connect only what holds up and hand the analyst an assessment with its evidence trail.

UNDER POLICY

Collect

Operators query the sources approved for the case – nothing runs outside the case boundary.

FALSE POSITIVES

Check

Hits are compared across sources, likely false positives are marked and confidence is made visible.

CASE GRAPH

Correlate

Accounts, addresses, domains, wallets and locations are linked in the case graph – each link with its source.

OUTPUT

Assess

The analyst receives an assessment with reviewed hits, source notes and open questions.

Use cases

OSINT analysis workflow

Use this pattern when open-source signals need to become an assessment that holds up in review.

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.

Explore workflow

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

Product view

Every finding keeps its source

Collection, checks, graph links and the final assessment stay attached to the case so reviewers can follow every step.

Collect

Approved sources for this case

Check

False positives marked, confidence shown

Connect

Supported links in the case graph

Assess

Reviewed findings and open questions

EVIDENCE TRAIL

Every result stays linked to its sources

Every finding keeps its source

Trust model

Built for defensible OSINT

OSINT analysis needs control over sources, uncertainty and what leaves the case.

Source control

Only approved sources run, and only inside the case.

  • Approved sources
  • Case boundary
  • Source notes

Hit quality

Presence is not attribution.

  • False-positive review
  • Confidence
  • Open questions

Independent check

A separate review confirms the assessment before it counts.

  • Blind review
  • Analyst sign-off
  • Decision trail

Deployment

Run where your sources and cases have to stay.

  • On-premises
  • Airgapped
  • Local models

Map your OSINT workflow

Tell us which sources you use, how you review hits and what the assessment needs to contain.