Adapting to a world of digital fraud : forecast 2022
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20220022309 | ||
| 003 | MAP | ||
| 005 | 20220911210916.0 | ||
| 008 | 190430s2022 gbr|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a86 | ||
| 245 | 1 | 0 | $aAdapting to a world of digital fraud$b: forecast 2022 |
| 260 | $aLondon$b1LoD $c2022 | ||
| 300 | $a3 p. | ||
| 505 | 0 | $aBanks, their customers, and the fraudsters that prey on them went digital long before the pandemic provided an additional incentive. This cyber-enabled industrialisation of fraud requires a digital response. Smarter data collection and analytics and especially AI-based context and network analysis tools are becoming a key part of the primary fraud detection backbone | |
| 650 | 4 | $0MAPA20080541064$aFraude | |
| 650 | 4 | $0MAPA20160007633$aCiberriesgos | |
| 650 | 4 | $0MAPA20080578848$aAnálisis de datos | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080607036$aLucha contra el fraude | |
| 650 | 4 | $0MAPA20080601324$aEntidades financieras | |
| 710 | 2 | $0MAPA20220007559$a1LoD |