Glossary of digital footprint, identity and AML terms

Updated 2026-08-31

Plain definitions of the vocabulary used across digital footprint analysis, email enrichment, identity checks and AML compliance. Each term links to the page that covers it in depth, and each definition describes what the word means in practice - including where this API's 888-platform lookup does and does not apply.

Digital footprint
A digital footprint is the set of traces an identifier leaves across the internet: the accounts registered to an email address, phone number or username, the breach records it appears in, and the public pages that mention it. A footprint accumulates over years, which is why its absence is informative - an identity cannot fake having existed for a decade. Digital footprint API →
Digital footprint analysis
Digital footprint analysis is the practice of assessing an identity by the online presence attached to it rather than by the documents it presents. It asks how many platforms an identifier is registered on, how far back its breach history goes, and whether it is mentioned anywhere publicly - then uses the answer to decide how much further verification the person needs. AML compliance and KYC →
Digital footprint check
A digital footprint check is a single request that establishes where one identifier is registered across many platforms at once, returning each result with the method that confirmed it and the time it was checked. It is a corroborating signal used alongside document and liveness verification, not a replacement for either. Verify an email at signup →
Email enrichment
Email enrichment is the process of taking an email address on its own and returning what is known about it: which services it is registered with, whether it appears in breach data, and where it is referenced publicly. Enrichment that reports only what was verified is distinct from enrichment that infers demographics or firmographics from patterns. Email enrichment API →
Reverse email lookup
A reverse email lookup starts from an email address and works backwards to the accounts behind it, rather than starting from a person and looking for their address. The result is a list of platforms where that address is registered, not the contents of those accounts. Reverse email lookup API →
Username enumeration
Username enumeration is the technique of determining whether a given handle or address is registered on a platform by observing how that platform's own public endpoints respond - a registration form, a password-reset flow, or a profile URL. It reveals only existence, never credentials or content. Username search API →
Identity check
An identity check is any procedure that tests whether a person is who they claim to be. Document and biometric checks prove a credential is genuine; a footprint-based identity check asks the different question of whether the contact details supplied have a plausible history behind them. The two are complementary, and neither substitutes for the other. AML compliance and KYC →
KYC (Know Your Customer)
KYC is the regulated process of identifying and verifying a customer before and during a business relationship. It covers collecting identifying information, verifying it against reliable sources, and assessing the risk the customer presents. A digital footprint check informs the risk-assessment part; it does not discharge the identification requirement. AML compliance and KYC →
AML compliance
AML compliance is the set of controls a regulated firm operates to detect and prevent money laundering, including customer due diligence, ongoing monitoring and suspicious activity reporting. Digital footprint data feeds the due-diligence and risk-scoring stages by showing whether an applicant's identifiers have any verifiable history. AML compliance and KYC →
Money mule
A money mule is a person whose account is used to move the proceeds of crime, whether knowingly or after being recruited under a pretext. Mule accounts are frequently opened with newly created email addresses and phone numbers, which is why an identifier with no registration history anywhere is a recognised mule indicator. Mule account detection →
Synthetic identity
A synthetic identity is a fabricated persona assembled from a mixture of real and invented details, often built up over months so it accrues a credit history. Its weakness is the internet: a synthetic identity can hold a plausible document and a valid credit file while its email address and phone number are registered nowhere at all. Thin digital footprint →
Thin file / thin digital footprint
A thin digital footprint is an identifier that exists almost nowhere - registered on few or no platforms, absent from breach records, unmentioned on the public web. Thinness is a risk signal rather than a verdict: a genuinely private person and a freshly minted synthetic identity produce the same reading, so it should raise review rather than trigger a decline. Thin digital footprint →
Breach check
A breach check establishes whether an email address appears in known data breach corpora, and in which breaches and on what dates. Beyond the security implication, breach dates are evidence of age: an address that appeared in a 2016 breach demonstrably existed in 2016. Email breach check API →
OSINT
OSINT, or open-source intelligence, is intelligence assembled from publicly available sources rather than from private records or covert collection. A registration sweep is an OSINT technique: it uses only what a platform's own public endpoints will confirm about whether an account exists. OSINT lookups →
Digital investigation
A digital investigation is the process of establishing facts about a person, account or incident from digital traces. Investigations usually begin with one identifier and expand outward, which makes a single sweep across many platforms a cheap and well-provenanced first step. OSINT lookups →
Digital profile
A digital profile is the aggregate of every account, breach appearance and public mention tied to one identifier - the whole picture, where a social profile is a single account on a single platform. A digital profile built from registration facts records that accounts exist, not what is inside them. Social profile lookup →
Fake account detection
Fake account detection is the practice of identifying accounts created to deceive - bots, sockpuppets, throwaway sellers - usually at or shortly after signup. An identifier registered on nothing else anywhere is one of the strongest cheap signals available, because a real person's email almost always has a history somewhere. Fake account detection →
Not found vs omitted
"Not found" means a platform answered and no account exists for the identifier. "Omitted" means the check could not be completed - the platform blocked it, timed out, or returned something unreadable - so no claim is made at all. Conflating the two turns an unknown into a confident negative, which is why a result that could not be confirmed is left out of the response entirely. Coverage and accuracy →

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