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Crypto Industry Urges AI Labs for Early Access to Advanced Models to Fortify Digital Assets

A consortium of prominent cryptocurrency companies and organizations has formally requested that leading artificial intelligence (AI) laboratories grant Bitcoin developers and other digital asset defenders early and prioritized access to their most advanced AI models. The appeal, articulated in an open letter published by the Bitcoin Policy Institute (BPI), highlights a growing concern that the rapid evolution of AI capabilities is outpacing the defensive measures available to secure critical open-source financial infrastructure.

The letter, released on Monday, emphasizes that many individuals and groups dedicated to protecting digital assets, including core developers of Bitcoin, are currently hindered by a lack of access to state-of-the-art AI tools. This limitation forces them to rely on less sophisticated, publicly available open-weight models, which may not be sufficient to counter the increasingly advanced threats emerging from adversarial use of frontier AI. The signatories are urging these AI labs to "establish or expand standing trusted-access programs for qualified defenders of open-source financial infrastructure."

The core of the argument rests on the fundamental importance of open-source software to the global digital and financial ecosystem. The letter specifically points to Bitcoin, which alone secures over $1 trillion in value, as an example of critical infrastructure that relies on open-source principles. It underscores the severe implications of any vulnerability within this infrastructure, stating that a single exploit could jeopardize the life savings of millions.

The open letter garnered significant support from a broad spectrum of the cryptocurrency industry. Notable co-signatories include the African Bitcoin Institute, Anchorage Digital, BitGo, Bitwise, Blockstream, Bull Bitcoin, MARA, Kraken, Ledger, and Trezor, among many other influential entities. This collective endorsement signifies a unified front in addressing the emerging challenges posed by AI in cybersecurity.

The letter asserts that frontier AI is fundamentally altering the landscape of security research and cyber operations. Advanced AI models possess the capability to rapidly analyze vast codebases, identify subtle vulnerabilities, and significantly accelerate complex technical tasks. This power can be wielded by both defenders seeking to secure systems and adversaries aiming to exploit them. The BPI posits that frontier AI could evolve into one of the "most powerful defensive technologies ever developed." However, it cautions that "without dedicated access programs, defenders may lack the tools needed to keep pace with evolving threats to the infrastructure they maintain."

Crypto companies urge AI firms to give Bitcoin developers early access

The Bitcoin Policy Institute has reportedly received multiple independent accounts from open-source software maintainers detailing sophisticated attacks orchestrated by advanced actors. These reports suggest that potential foreign adversaries are already leveraging cutting-edge AI capabilities to conduct sustained and impactful cyberattacks.

The urgency of this request is underscored by recent trends in cryptocurrency hacks. Data from DefiLlama reveals a significant surge in illicit activities. In April 2026, malicious actors stole over $634 million from cryptocurrency platforms, marking the highest monthly total since February 2025, when losses reached approximately $1.4 billion, partly driven by the Bybit hack. This escalating financial impact highlights the tangible threat posed by sophisticated cyber threats.

The increasing sophistication of AI-assisted vulnerability discovery has become a major point of concern across the entire crypto security industry. New generative AI models, such as Claude Opus 4.8 and ChatGPT 5.5, have been implicated in what Mitchell Amador, CEO of the bug bounty platform Immunefi, has described as a potential "vulnerability apocalypse" for the cryptocurrency sector. This grim outlook emphasizes the need for proactive and robust defensive strategies.

The call for access to advanced AI models by Bitcoin developers is not solely about offense but is fundamentally a defensive imperative. The ability to leverage these powerful tools would enable security researchers and developers to better understand potential attack vectors, identify zero-day vulnerabilities before they are exploited, and develop more resilient security protocols. By having the same or even superior tools as potential adversaries, defenders can stay ahead of the curve and safeguard the integrity of digital financial systems.

The nature of open-source development, while fostering innovation and transparency, also presents unique challenges in security. Unlike proprietary systems, the codebase is often publicly accessible, allowing for scrutiny but also for potential exploitation by those with malicious intent. Frontier AI, with its capacity for deep code analysis, can significantly lower the barrier to entry for discovering and exploiting vulnerabilities in these open systems. Therefore, equipping the defenders of these critical systems with comparable AI capabilities is seen as a necessary step to maintain a balance of power and ensure the continued security and trustworthiness of digital assets.

The cryptocurrency industry’s plea to AI labs signifies a recognition of the evolving nature of cybersecurity threats. As AI technologies become more potent, collaborative efforts between AI developers and the guardians of digital infrastructure will be crucial. The establishment of trusted access programs, as proposed by the BPI, could be a pivotal step in fostering a more secure digital future for finance. This initiative underscores the industry’s commitment to safeguarding the trillions of dollars entrusted to its systems and protecting the financial well-being of its users. The success of this endeavor will likely depend on the willingness of AI labs to engage with the cybersecurity community and contribute to the development of robust defenses against AI-powered threats.