Individual, Entity & Public Records Databases

Contains aggregated data on the legitimacy, registration, and operational history of counterparties. When entities report significant accruals tied to parties with no verifiable commercial activity or prior relationship, these databases help confirm or refute the authenticity of those claims, uncovering possible fraudulent accruals.

Aggregates public and commercial data on individuals or entities, allowing cross-referencing of stated beneficial ownership details against multiple sources. Discrepancies or incomplete filings often signal potential ownership manipulation.

• Aggregates information on individuals and entities, including legal registration, public records, and known affiliations.
• Confirms whether individuals or associated businesses have ties to known petty crime or street gang activities.
• Enhances due diligence efforts by cross-referencing relevant profiles against suspected or confirmed criminal backgrounds.

• Provides aggregated data on individuals and businesses, including names, registration details, beneficial ownership, and entity status.
• Enables verification of the legitimacy of purported consulting clients, helping to identify fictitious or shell entities used to inflate revenue or commingle illicit proceeds.

• Aggregates data on businesses and individuals, including registration details, affiliations, and beneficial ownership.
• Helps uncover collusion or coordinated schemes among multiple entities submitting nearly identical cross-border settlement documents.

Aggregates official and publicly available data, including legal registrations, affiliations, and historical records, on individuals or organizations. This information verifies the legitimacy of claimed charitable recipients or family relationships, revealing inconsistencies that suggest a disguised transfer.

• Aggregated public and official information about individuals and entities includes identity details, legal status, and beneficial ownership data.
• Cross-referencing submitted personal or corporate documentation against these records helps uncover inconsistencies or evidence of forged identities or misrepresented details.

• Aggregate information on businesses and individuals from government registries, public sources, and private databases.
• Verify importer legitimacy and operational status, exposing shell entities that pay above-market prices.
• Help discern whether entities involved in export overvaluation exist solely to facilitate illicit transactions.

Aggregates government and publicly accessible records, such as civil registries, address databases, and business affiliations, allowing direct cross-checking of a customer’s stated information against official sources to detect nonexistent, mismatched, or suspicious identity details.

• Data Provided: Aggregated identity and legal status details from government registries and third-party providers.
• AML Relevance: Exposes unverifiable or nonexistent employees when cross-referenced against official records, revealing fictitious or duplicated identities.

Aggregated data from government registries and private providers contains identity details, addresses, and background information on individuals and entities. It cross-checks addresses, contact information, and ownership data with shipping documents, identifying fictitious or unverifiable listings commonly seen in ghost shipping schemes.

• Aggregate identity information from government registries and commercial data providers to enable the verification of personal and business details.
• Help identify fictitious or inconsistent records, revealing possible identity impersonation or synthetic identities.

Aggregates external data on individuals and organizations, including official registries, public filings, and third-party records. Cross-referencing this information with customer-submitted details can highlight address mismatches, fraudulent identity claims, or overlapping attributes shared across multiple synthetic profiles.

Aggregated information on individuals and organizations includes identity details, professional affiliations, and legal status. This data is used to verify whether a customer legitimately has involvement in archaeology, museums, or cultural heritage and to identify any red flags indicating illicit activity.

Aggregates personal and entity information from government registries and public sources, including identity, corporate affiliations, and legal status. This data supports AML detection by identifying newly appointed bank executives or owners with suspicious backgrounds, high-risk associations, or ties to industries prone to money laundering, indicating potential criminal infiltration.

• Aggregates background information on all involved parties, confirming legitimacy or highlighting red flags.
• Verifies whether entities have an operational history in insurance or connections to prior financial crimes.

• Aggregates identity details, public filings, and entity information from government registries and open sources.
• Aids in correlating personal identifiers, signatories, or contact information across multiple offshore corporations and real estate holdings.
• Enhances detection of overlapping control persons in multi-entity structures used to obscure foreign property ownership.

Aggregates identity, affiliation, and ownership details from official and public sources. Cross-referencing bettors, staff, or owners in these databases helps uncover undisclosed relationships among repeat winners or frequent ownership shifts in betting shops, revealing potential collusion or criminal affiliations.

• Aggregate identity and registration information on individuals and entities from public and private registries.
• Validate the actual existence and status of vendors or customers cited in manipulated revenue or expense accruals, uncovering sham entities used to falsify financial records.

Aggregated data from official registries and public sources demonstrate an entity's or individual's legal status and background. This data is used to confirm the legitimacy of stated beneficiaries or business operations, highlighting any misrepresented fund purposes.

• Aggregates public data on individuals and entities, including addresses, incorporation records, and prior directorships.
• Supports cross-checking of suspicious corporate formations or frequent changes in registration details across borders.
• Helps trace potential shell or front companies used in multi-jurisdiction laundering networks.

Aggregates information from official registries and public sources, including identity details, legal statuses, and historical citizenship data. By cross-referencing these records, financial institutions can validate claimed nationalities, detect newly granted passports, and highlight inconsistencies where a single individual appears under multiple citizenships without legitimate rationale.

Civil registries and public gazettes publish legal name-change announcements. Querying those registries in real time validates whether a customer’s claimed spelling shift is legitimate or an undisclosed alias.

• Aggregated databases provide identity, residency, and other personal or corporate details.
• Supports cross-referencing employee credentials or business information with official government or reputable third-party records.
• Detects mismatches or indications of undocumented individuals, suggesting concealed payroll operations.

Aggregated government and public records detailing the identity, affiliation, and legal standing of individuals or entities. This information can confirm or refute claimed beneficiary relationships and expose fraudulent next-of-kin designations in pension schemes.

Aggregated identity details (e.g., names, addresses, family ties, corporate affiliations) from government registries and public sources.

• Helps detect potential collusion among auction participants by identifying shared addresses, overlapping corporate links, or family relationships.
• Flags individuals or entities appearing in multiple auctions under suspicious or interrelated ownership structures.

• Aggregates public and official records about individuals and entities, including identity details, addresses, and registration data.
• Assists in verifying submitted personal information and spotting inconsistencies or duplicates across multiple account applications.

• Aggregates information on organizational registrations, operational histories, and key individuals.
• Used to verify the legitimacy of entities involved in trade transactions, ensuring that suspicious or nonexistent parties are flagged for potential misinvoicing.

Cross-references addresses, phone numbers, and identity attributes against public or official databases to detect anomalies, such as multiple claimants using a single address, and inconsistencies that suggest potential collusion or synthetic identity usage.