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Anthropic's Mythos isn't threatening bitcoin. The real AI risk is at crypto exchanges
There's a saying in crypto: not your keys, not your coins. It's typically a warning that it's safer to keep your crypto in an offline wallet that's harder to attack than an online exchange where you don't have control over the keys to the wallet housing the funds. So far, however, the complexity of learning how to self-secure and custody crypto has been prohibitive to many prospective crypto investors, which has allowed exchanges like Coinbase and Gemini Space Station - two of the earliest in the game - to thrive. But with money now being more digital than ever and AI getting stronger, that narrative may be flipping. AI like Anthropic's Mythos, which is built to find software vulnerabilities at extreme speed with unprecedented accuracy, could help usher a new wave of attacks on companies built on and around crypto - an industry already working to overcome a years-long reputation of hacks, scams, and exploits. Some investors in crypto - whose universe of investable assets has quickly grown beyond coins to include ETFs and equities covering various crypto themes - can take comfort in the fact that the Bitcoin blockchain itself has never itself been hacked and has operated securely and without interruption since 2009. The threat of Mythos-like AI probably won't change that. "Bitcoin is fundamentally secured by cryptography and a set of shared rules," said Yan Pritzker, chief technology officer at Swan Bitcoin. "The cryptography itself isn't affected by AI, and the shared rules are enforced by a network of people running Bitcoin nodes all over the world. So while AI can influence how those people think in some way, it really is very difficult to modify the rules of the network without really full consensus from the network." Exchanges like Coinbase, Robinhood, Gemini or Bullish, on the other hand, are perhaps the most at-risk areas due to the large amounts of personal identifiable information and money they handle. "Any other system that deals with money in a real-time basis is going to be a place that we try to look for cyber security holes," said Cosmo Jiang, general partner at Pantera Capital. "While the threat factor exists for everyone, it's most likely that financial services companies or exchanges are going to be the ones that are targeted first." Owen Lau, an analyst at Clear Street, said to consider the reputational risk AI agents pose to crypto exchanges when assessing downside risk. Specifically, he said, they can generate large volumes of scam emails and create synthetic identites, building detailed profiles that pull information from the exchanges or other retail platforms. While AI can create new kinds of threats, the biggest exchanges argue it also presents an opportunity for them to improve security for their users. Coinbase and Binance both said they're keen to invest in and use AI to make their platforms more secure. "Mythos, and future models like it, will enable even deeper testing of software and systems at scale," Philip Martin, chief security officer at Coinbase, said in a statement shared with CNBC. "This will accelerate digital threats as well as digital defense." He also said that although Mythos "is a highly restricted model not available to the public, Coinbase is in close communication with Anthropic." Similarly, Binance's chief security officer Jimmy Su said the company is evaluating "how advances in AI can create new opportunities to strengthen cybersecurity while also introducing new risks. As part of that work, we are experimenting with AI to help us identify vulnerabilities faster and more broadly across our systems." Lau said the threat of a Mythos-like AI isn't yet clear or specific enough to make him reconsider his bullish ratings or his price targets, and he cautioned against letting short-term fear and uncertainty drive investors away from the sector. "Near term, it will become a negative narrative for these kinds of companies," he said of crypto exchanges. "But longer term, I would see them as one of the first batches that comes out and can protect against these AI agents."
[2]
Crypto exchanges brace for AI that can exploit software flaws By Investing.com
Investing.com -- Major cryptocurrency exchanges and custodians, including Coinbase (NASDAQ:COIN) and Binance, are preparing their systems for powerful artificial intelligence models that could find and exploit software vulnerabilities, according to a report from The Information. Anthropic's Mythos model, described by the AI firm as potentially dangerous in its ability to identify security weaknesses, has prompted crypto platforms to accelerate their defensive measures. Coinbase Chief Security Officer Philip Martin said the exchange has been in close communication with Anthropic about Mythos, which he described as a highly restricted model not available to the public. Martin said Mythos and future models like it will enable deeper testing of software and systems at scale, which will accelerate both digital threats and digital defense. Anthropic has provided early access to Mythos for testing to some companies, including large banks, but has not included major crypto firms in this group. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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Major cryptocurrency platforms including Coinbase and Binance are preparing defensive measures against Anthropic's Mythos, an AI model designed to identify software vulnerabilities with unprecedented accuracy. While Bitcoin's blockchain remains secure, exchanges handling large amounts of personal data and funds face heightened cybersecurity risk to crypto exchanges from advanced AI models.
Major crypto exchanges are accelerating their defensive measures as Anthropic's Mythos demonstrates an unprecedented ability to identify software vulnerabilities at extreme speed. The AI model, described by Anthropic as potentially dangerous, has prompted platforms like Coinbase and Binance to reassess their security infrastructure
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. While the Bitcoin blockchain itself has never been hacked and has operated securely since 2009, the companies built around crypto face a new category of AI threat that could exploit software flaws in ways previously impossible2
.Philip Martin, Coinbase's chief security officer, confirmed the exchange maintains close communication with Anthropic about Mythos, noting it's a highly restricted model not available to the public. "Mythos, and future models like it, will enable even deeper testing of software and systems at scale," Martin told CNBC. "This will accelerate digital threats and digital defense"
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. Anthropic has provided early access to Mythos for testing to some companies, including large banks, though major crypto firms have not been included in this initial group2
.Exchanges like Coinbase, Robinhood, Gemini, and Bullish represent the most vulnerable targets due to the massive amounts of personal identifiable information and funds they handle. "Any other system that deals with money in a real-time basis is going to be a place that we try to look for cyber security holes," said Cosmo Jiang, general partner at Pantera Capital. "While the threat factor exists for everyone, it's most likely that financial services companies or exchanges are going to be the ones that are targeted first"
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.The AI accelerating threat extends beyond direct hacks. Owen Lau, an analyst at Clear Street, highlighted the reputational risk AI agents pose through their ability to generate large volumes of scam emails and create synthetic identities, building detailed profiles that pull information from exchanges or other retail platforms
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. This multi-vector approach to AI-driven attacks creates security weaknesses that traditional cybersecurity measures may struggle to address.Related Stories
While advanced AI models introduce new exploits, major platforms view this development as an opportunity for enhanced digital protection. Binance's chief security officer Jimmy Su stated the company is evaluating "how advances in AI can create new opportunities to strengthen cybersecurity while also introducing new risks. As part of that work, we are experimenting with AI for security defense to help us identify vulnerabilities faster and more broadly across our systems"
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.Yan Pritzker, chief technology officer at Swan Bitcoin, emphasized that Bitcoin's fundamental architecture remains protected. "Bitcoin is fundamentally secured by cryptography and a set of shared rules," Pritzker explained. "The cryptography itself isn't affected by AI, and the shared rules are enforced by a network of people running Bitcoin nodes all over the world"
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. This distinction matters for investors whose universe now includes Bitcoin ETFs and crypto-themed equities beyond direct blockchain exposure.Lau cautioned against letting short-term fear drive investors away from the sector, noting he hasn't adjusted his bullish ratings despite the emerging risk. "Near term, it will become a negative narrative for these kinds of companies," he said of crypto exchanges. "But longer term, I would see them as one of the first batches that comes out and can protect against these AI agents"
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. The race between AI-driven attacks and defense mechanisms will likely define the next phase of crypto platform evolution.Summarized by
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