Adapting to a world of digital fraud : forecast 2022

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<rdf:Description>
<dc:creator>1LoD </dc:creator>
<dc:date>2022</dc:date>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/180466.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>1LoD</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Fraude</dc:subject>
<dc:subject xml:lang="es">Ciberriesgos</dc:subject>
<dc:subject xml:lang="es">Análisis de datos</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Lucha contra el fraude</dc:subject>
<dc:subject xml:lang="es">Entidades financieras</dc:subject>
<dc:type xml:lang="es">Libros</dc:type>
<dc:title xml:lang="es">Adapting to a world of digital fraud : forecast 2022</dc:title>
<dc:format xml:lang="es">3 p.</dc:format>
<dc:description xml:lang="es">Banks, 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</dc:description>
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