During a gold rush, invest in shovel makers, goes the adage. That’s precisely what hedge funds looking to get in on the excitement around cryptocurrencies are doing with a flurry of investments in platforms created to buy, sell and store virtual currencies.
At the same time, regulators around the world are asking more questions about how much protection any companies handling crypto assets should offer investors. Tighter rules look inevitable if the market for digital currencies is to become anything more than a sideshow in the world of finance.
The need for trustworthy exchanges is clear. So the mavericks of finance have been tossing a few percentage points of their assets into new things in the hope that one of them becomes cryptoland’s equivalent of the next Amazon.com Inc. or Alphabet Inc.
Crypto derivatives exchange FTX just raised $900 million from more than 60 investors including Paul Tudor Jones, Alan Howard and Izzy Englander. Howard, along with hedge fund titans Peter Thiel and Louis Bacon, is also invested in Block.One, the blockchain software company behind cryptocurrency exchange Bullish. And Paul Marshall’s $55 billion fund Marshall Wace LLP is a backer of Circle, a digital payments firm that’s part of the consortium behind the USDC stablecoin. 1
Interest from mainstream finance continues to grow, although it’s far from clear whether fear of missing out is the main motivation rather than any genuine belief in the market’s future or efficacy. A survey of 1,100 institutional investors published last week by Fidelity Investments suggested 70% expect to buy or invest in digital assets in the future. Goldman Sachs Group Inc. says almost half of the family offices it deals with want to include digital currencies in their portfolios.
Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.
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