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COINTURK NEWS > Bitcoin (BTC) > Anthropic AI finds new cryptographic attacks, sparking concerns for Bitcoin security
Bitcoin (BTC)

Anthropic AI finds new cryptographic attacks, sparking concerns for Bitcoin security

In Brief

  • 🚨 Anthropic's AI breaks weakened cryptography and tests future Bitcoin security.

  • 🧠 Researchers say cutting-edge AI can now reveal new attack methods for encryption.

  • ⏳ Blockchain projects are racing to upgrade their post-quantum protections in $BTC.

  • ⚡ Previous attacks were against research systems, not today's market infrastructure.
Dr. Levent Kurt
Dr. Levent Kurt 4 hours ago
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Bitcoin’s path toward quantum-resistant security is facing fresh scrutiny after recent advancements in artificial intelligence. Anthropic, a leading AI firm, revealed that one of its top-level models has successfully uncovered novel attacks on weakened cryptographic algorithms, introducing new concerns for blockchain developers and cryptographers.

Contents
AI challenges to cryptographyImplications for Bitcoin and blockchain networksFuture outlook and market context

AI challenges to cryptography

Anthropic’s Claude Mythos Preview model reportedly discovered previously undocumented attacks against weakened versions of the Advanced Encryption Standard (AES), which remains one of the most broadly implemented encryption protocols. The company detailed that its AI-driven approach enabled researchers to break these test algorithms between 200 and 1,000 times faster than traditional methods.

Researchers at Anthropic said that frontier AI systems can now produce original cryptographic research, going beyond human-devised strategies. These findings have led experts to consider that artificial intelligence might one day pose a threat to post-quantum encryption standards before quantum computing becomes a practical concern.

In addition, Mythos identified an enhanced attack vector against HAWK, a signature scheme proposed in the post-quantum cryptography landscape. This result highlights the possibility that advanced AI models could outpace both quantum computers and standard mathematical research in breaking newer cryptographic protections.

Implications for Bitcoin and blockchain networks

Currently, Bitcoin operates using the Elliptic Curve Digital Signature Algorithm (ECDSA) for transaction verification. For years, cryptographers have cautioned that powerful quantum computers could eventually compromise ECDSA, potentially exposing the network to threat. As a result, blockchain developers are exploring migrations toward post-quantum signature systems, with lattice-based cryptography standing out as a prominent candidate.

Coin Center Executive Director Peter Van Valkenburgh lightheartedly addressed the situation, referencing a hypothetical future where Bitcoin moves to lattice-based post-quantum signatures, only for an advanced AI model to undermine the underlying mathematics before quantum computers manage the same feat.

Researchers at Anthropic explained that their new attack methods managed to break weakened versions of AES up to 1,000 times faster, underscoring AI’s accelerating role in cryptographic research.

Despite the significant attention Anthropic’s research has received, security experts emphasized that the attacks described so far targeted experimental and deliberately weakened cryptosystems, not those currently protecting Bitcoin or commercial web traffic. The company added that modern implementations of AES remain robust and are not immediately at risk.

Future outlook and market context

As AI systems rapidly advance in generating novel mathematical techniques, blockchain protocol developers are considering new threats. Experts have noted that the accelerated pace of discovery may eventually force teams behind Bitcoin and other major networks to strengthen their protocols, accounting for both quantum and advanced AI-driven cryptanalysis.

As the industry evaluates these new possibilities, some platforms are already building bridges between traditional finance and blockchain solutions. For example, applications like 1stepSwap use smart contract technology to bring real-world assets—including shares of major U.S. companies and commodities like gold and silver—directly onto the blockchain, where users can access, buy, and sell these assets through integrated wallets. One of the platform’s key advantages is its automated system, which consistently secures the most advantageous prices available across markets, letting users diversify their portfolios quickly and efficiently without intermediaries or complex onboarding procedures.

As developments in both AI and quantum computing accelerate, continuous monitoring of security protocols and innovative real-world asset digitization initiatives will remain central to the evolution of the crypto market.

Despite the advancements reported by Anthropic, researchers maintain that neither Bitcoin’s current protocol nor standard internet encryption face immediate risk, as the AI-developed attacks only impacted less secure research variants.

You can follow our news on X, Telegram, Facebook & Coinmarketcap
Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.

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Dr. Levent Kurt 29 July, 2026 - 12:22 am 29 July, 2026 - 12:20 am
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Dr. Levent Kurt
By Dr. Levent Kurt
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Levent Kurt, who has been closely following the cryptocurrency and blockchain ecosystem since 2013, is the Editor-in-Chief and Co-Founder of COINTURK.Kurt, who holds a Ph.D. in Data Science, conducts research on Bitcoin, altcoins, blockchain technologies, digital asset markets, data analysis, and global developments in the cryptocurrency sector. He is the author of “Cryptocurrency Bitcoin: In Pursuit of Financial Freedom”, published in 2015.In the news, analysis, and research published on COINTURK, he aims to provide readers with reliable and understandable information by combining a data-driven approach with market experience and an assessment of technological developments.
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