Japan’s been beset by a new type of criminal that operates online, using vulnerable and desperate people to do their dirty work. Now comes a report that some of these enterprises are targeting Japan’s old-school criminals for fun and profit. https://t.co/p1w8H5VubR https://t.co/1UycKj1egw
🔎 Scène de crime : bientôt des suspects pourront être identifiés instantanément Une technologie testée aux #PaysBas promet de révolutionner les scènes de crime. Mais son extrême sensibilité inquiète les experts. ⤵️ https://t.co/KGAeqaHfpT
Southeast Asia’s criminal syndicates launch custom infra, stablecoins for global fraud, UN warns Transnational cybercrime gangs in Southeast Asia continue to grow, expanding their reach through crypto and custom blockchain services, the UN reports
A recent United Nations report highlights the rise of sophisticated cybercrime syndicates originating from Southeast Asia that have evolved into a global criminal industry. These groups utilize new online marketplaces, artificial intelligence, deep-fake technology, custom blockchain infrastructure, and stablecoins to facilitate widespread fraud and scams. In 2024, customers across the Asia-Pacific region lost an estimated $688 billion to such scams. Microsoft reported blocking $4 billion worth of AI-powered fraud attempts over the past year, preventing 1.6 million bot sign-ups every hour, though it warns that the threat is escalating. Law enforcement agencies, including Interpol headquartered in Singapore, are deploying advanced technologies such as robot dogs, spy drones, forensic lasers, and underwater drones to combat hackers, smugglers, and illegal arms manufacturing. Meanwhile, Sweden faces emerging threats from these cybercrime networks, and Japan is confronting new forms of online criminals exploiting vulnerable individuals and targeting traditional criminal groups. Innovations in crime scene investigation technology, such as instant suspect identification tested in the Netherlands, promise to revolutionize law enforcement but raise concerns about privacy and sensitivity.