A Chinese company with links to Beijing has mined detailed personal information of more than 10,000 Indians, including government officials, prominent politicians, and industrialists, an investigation by The Indian Express newspaper has revealed.
Shenzhen-based Zhenhua Data Information Technology, which reportedly calls itself a pioneer in using big data for “hybrid warfare”—non-military warfare comprising of the political, economic, and technological—has compiled a global database of “foreign targets” using information from the web and social media platforms, research papers, articles, patents, and more, The Indian Express said in a report today (Sept. 14).
The targets in India reportedly include president Ram Nath Kovind, prime minister Narendra Modi, Congress interim president Sonia Gandhi, chief of defence staff Bipin Rawat, and at least 60 senior serving and retired officers of the military, The Indian Express said. The list also includes state chief and cabinet ministers, mayors, sarpanches (village council heads), and
When modern-day versions of African tech ecosystems began taking shape a decade ago, the big, existential question was about where investment would come from.
As successive years of record-breaking funding signaled investor conviction in the promise of the continent’s startups, the topical focus soon shifted with more scrutiny paid to just how quickly investors could expect profitable exits. Yet, amid the tumultuous circumstances of a global pandemic that has triggered a health crisis and widespread economic uncertainty, that question is increasingly being answered.
Over the course of the year, news of multi-million dollar acquisitions have made headlines across African tech ecosystems, including the $288 million purchase of DPO Group, a payments services provider for African businesses, by Network International, a Dubai-headquartered payments giant. Four of these deals which have seen full or partial acquisitions of African startups are collectively valued at over $900 million. But the overall figure is likely
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