Geographical Transaction Data

• Incorporates location-based records of financial transactions, allowing direct comparison of the customer’s usual regions of economic activity against sudden or widespread ATM deposits in multiple areas.
• Flags anomalies where deposit volumes and geographic dispersion deviate significantly from established norms, indicating possible structuring activities.
• Aids in assessing whether ATM-related transactions are suspicious based on mapped proximity or cross-regional patterns without a legitimate business rationale.

• Maps transaction origin and destination locations against known customer activity patterns.
• Reveals geographical inconsistencies (e.g., transactions initiated from regions not typical for legitimate account usage), indicating potential account takeover.

• Provides origin and destination geolocation details for financial transactions.
• Exposes irregular cross-regional inbound deposits labeled as ‘advance fees,’ helping to flag potential international or multi-regional scam activity.

• Tracks transaction origin and destination points, including geolocation metadata.
• Facilitates detection of unusual cross-border flows, especially where established banking channels are bypassed for lesser-regulated alternatives.

• Adds origin / destination geotags and hop-timings that expose implausibly fast country-to-country swings characteristic of automated layering.

• Highlights fund movements originating from or destined for high-risk or offshore jurisdictions.
• Identifies questionable premium payments or claim disbursements linked to secrecy locations, aiding in the detection of disguised cross-border layering.

• Identify significant cross-border transactions and the involved jurisdictions.
• Highlight inflows from high-risk or poorly regulated regions used to fund construction projects.
• Support enhanced due diligence on foreign investors whose geographic profile presents elevated AML risk.

• Captures origin, destination, and route details for financial movements.
• Enables detection of frequent or repeated cross-border trips involving smaller declared amounts (smurfing).
• Helps aggregate multiple declarations below thresholds that collectively sum to higher illicit totals.

• Provides location-based records of financial transactions (e.g., IP addresses, geolocation metadata).
• Allows comparison of donor origins against the campaign’s stated location or beneficiary region to detect anomalies.
• Supports identification of potential layering, where illicit funds are split and routed from multiple jurisdictions.

• Provides location-based records of financial transactions, including origins and destinations.
• Facilitates detection of unusual diamond trading patterns involving high-risk or sanctioned jurisdictions.

Contains location-based details of deposit and withdrawal activities, showing branch usage and distances from a customer’s usual business or residential areas. This data helps identify suspicious cluster deposits along domestic transport routes, consistent with bulk cash deliveries.

• Tracks cross-border transfers involving professional intermediary accounts and identifies offshore or high-risk destinations.
• Pinpoints transactions masked under client confidentiality, revealing risk patterns indicative of layering or integration strategies.

Adds origin- / destination-country tags and hop-timings to funds flows, highlighting implausibly fast or circuitous movement of value through multiple jurisdictions used to fragment the audit trail.

• Tracks the origin, destination, and geo-coordinates of financial transactions.
• Helps trace multi-jurisdictional routes and layering strategies indicative of funnel account schemes.

• Provides detailed origin and destination metadata for financial transactions, including branch locations or regional identifiers.
• Facilitates detection of rapid deposits in multiple distant areas, a hallmark of smurfing.
• Enables geo-mapping of deposit clusters to spot emerging patterns inconsistent with a customer’s normal activity.

• Captures location-based details of financial transactions, including origins, destinations, and timing.
• Reveals geographically dispersed high-value purchases made in quick succession, indicating potential layering or deliberate confusion of regulatory jurisdictions.

• Capture transactional origin and destination details with associated geolocation.
• Highlight frequent remittances or financial flows to zones at high risk for human trafficking.
• Cross-reference with other records to confirm suspicious movement of funds tied to exploitation networks.

• Tracks the origin and destination of in-game currency transactions, including cross-border flows and high-risk geographies.
• Supports detection of large-volume in-game value movement involving jurisdictions known for lax AML regulations, lacking a legitimate business or gameplay rationale.

• Tracks transaction origin and destination geolocation metadata.
• Flags the channeling of funds through jurisdictions lacking robust banking oversight or commonly associated with hawala networks.
• Helps correlate cross-border flows with customer profiles to identify unusual or unauthorized IVTS-related routes.

• Provides location-based metadata for financial transactions, including the origin and destination of funds.
• Identifies patterns of multiple micro-amount deposits from diverse regions funneling into a single account, a common indicator of micro-structuring.

• Contains location-based records of financial transactions, capturing origin, destination, amounts, and geolocation metadata.
• Enables identification of transaction clusters near vulnerable border areas or known smuggling corridors.

Provides cross-border origin and destination data for mobile transactions. This data identifies unusual or high-risk jurisdictions and detects discrepancies between declared residency or business location and actual transaction flows, supporting the identification of layering and structuring patterns in mobile payments.

• Provides geolocation details of financial transactions, including origin, destination, amounts, and related jurisdictional metadata.
• Enables detection of mismatched currency flows involving locations not aligned with the customer’s declared business or residence.
• Assists in identifying high-risk or unusual cross-border routes used to layer illicit funds.

Tracks the originating and destination countries tied to financial transactions. This data:

• Pinpoints repeated or high-value transfers to offshore locations.
• Detects sudden geographic shifts in a customer’s transaction profile.
• Supports investigation into layering tactics through multiple foreign jurisdictions.

• Details the origins and destinations of financial transactions, including country identifiers, cross-border flows, and associated metadata.
• Enables monitoring of in-game currency exchanges traversing jurisdictions with lax AML controls, highlighting potential transnational laundering techniques.

Tracks geographic metadata for each transaction, revealing inconsistencies when P2P transfers originate from diverse or improbable locations that contradict the account holder’s profile.

Reveals the origin and destination locations of fund flows, enabling analysts to identify unusual cross-border transfers orchestrated by professional intermediaries that exceed typical geographic coverage or regulatory norms.

• Captures geolocation details for each transaction, allowing comparison of the actual transaction origin with the customer’s declared address or usual location.
• Highlights anomalies when transactions originate from diverse or distant public WiFi hotspots in short timeframes, indicating possible location obfuscation.

Correlates transactions with their geographic origin or destination to reveal cross-border fund flows. In rug pull scenarios, sudden movements of capital to multiple or opaque jurisdictions may indicate layering efforts to obscure the funds' final recipients.

• Contains location-based transaction records, including origin, destination, and geolocation metadata.
• Assists in detecting cross-border or multi-jurisdictional flows to and from self-hosted wallets, highlighting potential structuring or layering across different regions.

• Tracks the origin and destination of cross-border transactions, highlighting specific jurisdictions, transaction volumes, and timing.
• Helps reveal offshore routing patterns by shell companies leveraging jurisdictions with limited transparency, facilitating layering or obfuscation of transaction flows.

• Captures origin, transit, and destination details for cross-border shipments and related financial flows.
• Enables detection of unusual or circuitous shipping routes that may signal deliberate misinvoicing or masking of true shipment values.

Captures location-based details of financial transactions and shipping routes, including origin, destination, timestamps, and relevant geographic metadata. This data helps identify unusual or convoluted cross-border routing, last-minute changes to shipment destinations, and inconsistencies with normal trade lanes, all of which can signal trade-based laundering.

• Tracks the geographic origin and destination of financial transactions, covering both domestic and cross-border movements.
• Detects shifts in vendor payment routes or payments to atypical jurisdictions inconsistent with the vendor’s usual operations.
• Helps flag potential higher-risk regions for closer scrutiny when a vendor's account details suddenly change.