Incidente 800: translated-es-53% of American and British Businesses Report Attacks by AI-Powered Deepfake Scams in 2024
Descripción: translated-es-According to Medius, Deepfake scams have targeted 53% of businesses in the U.S. and U.K., with 43% falling victim. Using AI to create realistic fake videos and audio of corporate executives, scammers have successfully stolen millions, including $25 million from British engineering group Arup.
Entidades
Ver todas las entidadesAlleged: Unknown deepfake technology developers developed an AI system deployed by Unknown scammers y Unknown deepfake creators, which harmed American businesses , British businesses , Finance professionals , Employees y Arup.
Estadísticas de incidentes
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Intentional
Informes del Incidente
Cronología de Informes

- Un poco más de la mitad (53%) de las empresas en los EE. UU. y el Reino Unido han sido víctimas de una estafa financiera impulsada por la tecnología "deepfake", y el 43% ha sido víctima de este tipo de ataques, según una encuesta realizada…

A medida que la tecnología deepfake evoluciona, la variedad y sofisticación de los ataques de phishing continúa aumentando. Las organizaciones pueden preguntarse cómo protegerse contra ataques deepfake que pueden provocar pérdidas financier…
Variantes
Una "Variante" es un incidente de IA similar a un caso conocido—tiene los mismos causantes, daños y sistema de IA. En lugar de enumerarlo por separado, lo agrupamos bajo el primer incidente informado. A diferencia de otros incidentes, las variantes no necesitan haber sido informadas fuera de la AIID. Obtenga más información del trabajo de investigación.
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