Digital Asset Claims · Evidence Desk
16 articles · 8 desks · Updated 28 Jul 2026
Evidence & Verification
6 May 2026 · 7 min
Digital Evidence
20 Apr 2026 · 8 min
AI Investigation Technology
15 Apr 2026 · 8 min
Digital Evidence
6 Apr 2026 · 8 min
Featured · Evidence & Verification28 Jul 2026 · 8 min read
Not every finding carries the same evidential weight. Confidence classification makes that difference explicit rather than hiding it behind confident-sounding prose.
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Reference articles
8
Editorial desks
121
Minutes of reading
128
Working paragraphs
AI Investigation Technology8 min25 Mar 2026
Machine assistance can process transaction volumes no analyst could review manually, but every output still requires human verification before it informs a finding.
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Wallet & Transaction Analysis7 min16 Mar 2026
How investigators establish when and how a wallet first entered use, and why early-history analysis often carries the most weight in a dispute.
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Infrastructure Intelligence7 min4 Mar 2026
Hosting providers, autonomous system numbers and domain registration data leave a durable trail that persists even after a fraudulent platform disappears.
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Wallet & Transaction Analysis7 min2 Mar 2026
A wallet address is a cryptographic object, not an identity. This article explains what wallet analysis can support and what it cannot.
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Digital Asset Investigations7 min16 Feb 2026
A clear account of the boundaries of digital asset investigation work: what the evidence can support, and what remains outside its scope.
Read article8 desks · 16 articles
Desk 01
2 articlesBlockchain Intelligence
How ledger data is read, normalised and reconstructed into an ordered account of transfers, contract calls and cross-chain movement.
Open deskDesk 02
2 articlesDigital Asset Investigations
Case-level analysis: how an investigation is scoped, how fragmented trails are rebuilt, and what an investigation can and cannot establish.
Open deskDesk 03
2 articlesWallet & Transaction Analysis
Address behaviour, funding history, clustering signals and the distance between what a wallet shows and what it proves.
Open deskDesk 04
2 articlesDigital Evidence
Evidence graphs, timelines, integrity and custody: how digital records are captured, linked and kept reproducible.
Open deskDesk 05
2 articlesOSINT & Research
Open source collection, source grading and corroboration methods used to place on-chain activity in a wider factual context.
Open deskDesk 06
2 articlesInfrastructure Intelligence
Domains, hosting, ASN and IP indicators as investigative signals, and the evidential limits that apply to each of them.
Open deskDesk 07
2 articlesAI Investigation Technology
Machine-assisted correlation, entity resolution and graph analysis, and the human verification that must follow every model output.
Open deskDesk 08
2 articlesEvidence & Verification
Corroboration, conflicting sources and confidence classification: how a finding is graded before it enters a report.
Open desk
Infrastructure Intelligence · 12 Feb 2026 · 8 min
An IP address can place a device on a network at a point in time, but it does not identify a person. This article explains what IP intelligence can and cannot show.
Digital Asset Investigations · 2 Feb 2026 · 8 min
The two directions of tracing used in a digital asset investigation, and why they are treated as separate exercises with different evidentiary demands.
OSINT & Research · 29 Jan 2026 · 7 min
Not all public information is equally reliable. This article sets out how sources are tiered, tested and documented before they are allowed to inform a finding.
Blockchain Intelligence · 19 Jan 2026 · 7 min
Why establishing where a digital asset came from requires more than an on-chain lookup, and how provenance evidence is assembled and tested.
OSINT & Research · 8 Jan 2026 · 8 min
Open source intelligence supplies the contextual layer that on-chain data alone cannot provide, but only when collection is disciplined and sources are corroborated.
Blockchain Intelligence · 5 Jan 2026 · 8 min
How a transaction trail is rebuilt from raw ledger data, output by output, without inserting assumptions the evidence does not support.
