Bitcoin Firms Urge AI Labs to Open Advanced Models to Security Defenders

What to Know

• More than three dozen bitcoin and crypto firms are urging major AI labs to give open-source security researchers early access to their most capable models.
• Coinbase, Block, BitGo, Blockstream, Anchorage Digital, ARK Invest, Bitwise, Foundry, Casa, Exodus and others signed the industry letter.
• The effort was organized by the Bitcoin Policy Institute and also includes nonprofit developer funds such as Brink, Chaincode and Btrust.
• The signatories argue that Bitcoin Core developers are excluded from trusted-partner programs operated by major AI labs.
• They say safety filters on public models can block legitimate vulnerability research while attackers can use fewer restrictions or alternative tools.
• The companies are asking for early model access, compute resources, secure testing environments, eligibility for independent maintainers, and direct channels to lab security teams.
• Recent exploited flaws affecting BTCPay Server and Lightning nodes have sharpened concerns over the growing role of artificial intelligence in cyber offense and defense.
• A volunteer group known as the Bitcoin Red Team has used AI models to review bitcoin codebases and has filed thousands of findings across hundreds of projects.

Crypto Firms Say Defenders Need Stronger AI Tools

More than three dozen bitcoin and crypto firms are pressing major artificial intelligence labs to give open-source security researchers earlier access to powerful frontier models, arguing that the current system leaves defenders working with weaker tools than the attackers they are trying to stop. The request places Bitcoin security, AI safety policy, and open-source software maintenance at the center of a fast-moving debate over who should be allowed to use advanced cyber-capable models before they are released more widely.

The letter, organized by the Bitcoin Policy Institute, brings together a broad group of industry participants, including Coinbase, Block, BitGo, Blockstream, Anchorage Digital, ARK Invest, Bitwise, Foundry, Casa and Exodus. Nonprofit developer funds including Brink, Chaincode and Btrust also signed on, reflecting concern not only from commercial crypto businesses but also from organizations that support the maintainers and contributors responsible for the open-source infrastructure behind Bitcoin.

At the heart of the push is a simple but consequential claim: the people defending a trillion dollars of Bitcoin and crypto infrastructure should not be stuck using less capable artificial intelligence systems than those available to attackers through unrestricted routes, stolen access, open-weight models or purpose-built hacking tools. Market participants across digital assets have increasingly treated cybersecurity as core financial infrastructure, especially as wallets, payment processors, exchanges, Lightning services and node operators rely on complex software stacks that must resist continuous probing.

Trusted-Partner Programs Are a Key Flashpoint

The companies argue that Bitcoin Core developers, the small group maintaining the software that runs the Bitcoin network, are effectively locked out of trusted-partner programs run by leading AI labs. Those programs can give select security partners controlled early access to advanced model capabilities, allowing them to test how new systems perform on sensitive cyber tasks before the tools reach broader availability.

For open-source maintainers, the gap matters. Bitcoin Core and related infrastructure are not maintained in the same way as a large corporate software product with a centralized security budget, a single executive chain of command and a dedicated internal AI research team. Much of the work is distributed across independent developers, volunteer reviewers and nonprofit-backed contributors. The letter argues that eligibility rules should account for that reality rather than prioritizing only large firms with conventional enterprise structures.

When researchers cannot access trusted programs, they often turn to public models. The problem, signatories say, is that public-facing AI tools typically include safety filters designed to prevent malware development, exploit creation and other dangerous behavior. While those protections are intended to reduce harm, they can also interfere with legitimate security research, such as identifying vulnerabilities, reproducing exploit conditions in controlled settings, or reviewing code for weaknesses before criminals find them.

This creates a difficult policy tradeoff for AI labs. Looser access can increase risks if tools are misused, yet overly blunt restrictions can weaken defenders who are trying to protect high-value systems. The bitcoin and crypto firms are arguing for a controlled middle path: vetted open-source security researchers should receive access, resources and direct communication channels so they can assess risks responsibly before adversaries exploit the same capabilities in the wild.

Five Requests From the Industry

The signatories are asking AI labs for five specific changes. First, they want early access to the strongest cyber-capable models, including access before public release. Second, they are seeking enough computing budget to run meaningful security reviews, since advanced model testing can require repeated analysis across large codebases. Third, they want secure environments where researchers can examine private code without exposing sensitive information.

Fourth, the firms want eligibility criteria that include small and independent maintainers rather than only large companies. That point is especially relevant to Bitcoin, where important contributors may operate outside traditional corporate structures. Fifth, the signatories want a direct line to AI lab security teams, allowing researchers to report findings, discuss model behavior and coordinate on risks discovered during testing.

Taken together, the requests amount to a proposed security compact between AI labs and the crypto open-source community. Rather than calling for unrestricted access, the firms are asking for structured access that recognizes the defensive role played by independent maintainers. Technical traders and market observers often focus on price, liquidity and macro catalysts, but the resilience of the underlying software remains a foundational issue for Bitcoin’s long-term credibility.

Recent Lightning Exploits Raise the Stakes

The timing of the industry letter follows recent security events that have intensified concern. BTCPay Server, one of the signatories, disclosed a critical flaw that attackers had already exploited to drain Lightning nodes belonging to merchants. Foundation, the hardware wallet maker, also signed the letter and lost its own node in that attack. The episode illustrated the financial consequences that can follow when attackers identify and weaponize weaknesses before defenders have patched them across affected systems.

BTCPay Server later said artificial intelligence is changing the balance between attackers and defenders because models can make it faster and cheaper to search large codebases for weaknesses. That argument reflects a broader shift in cybersecurity. AI systems can help summarize unfamiliar code, trace logic paths, generate test cases and identify suspicious patterns. In the hands of defenders, those capabilities can accelerate audits. In the hands of attackers, they can compress the time needed to discover and exploit flaws.

The flaw affecting BTCPay Server was ultimately found by defenders. A volunteer group calling itself the Bitcoin Red Team began applying AI models to bitcoin codebases this month and has filed thousands of findings across hundreds of projects. Among those findings was the report that led to BTCPay Server’s patch. Supporters of wider access see that as evidence that AI-assisted review can provide meaningful defensive value when used by skilled researchers under responsible conditions.

Why Open-Weight Models Are Not Enough

Some open-source security researchers already use open-weight models, which can be downloaded and run outside the closed systems of major AI labs. The letter argues, however, that these models are generally less capable than the strongest frontier systems. If trusted AI labs and selected partners can observe emerging offensive capabilities before everyone else, while independent Bitcoin defenders cannot, the signatories say the security community loses valuable preparation time.

The concern is not only about model quality but also about timing. The companies argue that advanced capabilities can spread through public models, stolen corporate access and specialized hacking tools even if they are initially restricted. If defenders are excluded during the early window, they may be forced to respond only after tools or techniques have already become available to adversaries. In cybersecurity, that lag can be costly, especially for financial infrastructure where exploited vulnerabilities can translate quickly into lost funds.

For Bitcoin, the issue is amplified by the network’s open and global nature. Open-source code enables broad review and transparency, but it also means attackers can inspect the same public repositories as defenders. The practical difference may increasingly come down to tooling, compute access and the speed with which researchers can locate and validate vulnerabilities. The firms behind the letter are effectively arguing that responsible defenders should not be disadvantaged simply because they work in open-source ecosystems rather than inside large AI lab partner networks.

AI Safety Debate Expands Into Crypto Infrastructure

The request also broadens the AI safety debate beyond general fears about malicious model use. It asks whether safety guardrails should distinguish more carefully between offensive misuse and defensive research. A prompt that looks dangerous in one context may be necessary in another if a researcher is working in a secure environment to reproduce a flaw, test a patch, or verify that a production system is no longer vulnerable.

That distinction is difficult for automated filters to judge. A model may block a researcher who is trying to find a bug before criminals do, while an attacker may bypass mainstream tools entirely. This asymmetry is the core of the industry’s complaint. The signatories are not asking AI labs to abandon safety controls; they are asking labs to create more sophisticated access paths for vetted defenders who maintain software that secures substantial economic value.

For the crypto market, the outcome could shape how quickly open-source teams adapt to AI-driven security threats. If major labs respond positively, Bitcoin developers and related infrastructure teams may gain better tools for pre-release testing, code review and coordinated disclosure. If access remains limited, defenders may continue relying on public models and open-weight alternatives, even as adversaries search for ways around restrictions.

What Comes Next for Bitcoin Security

The letter does not guarantee that AI labs will change their access policies, but it adds pressure from a sector that has direct experience with high-stakes software security. Bitcoin businesses, wallet providers, payment processors, miner-connected services and infrastructure firms all depend on the reliability of code that is constantly examined by both ethical researchers and malicious actors. As artificial intelligence improves, the speed and scale of that examination are likely to increase.

For FXCOINZ readers, the issue is less about short-term price action and more about infrastructure durability. Bitcoin’s market value depends not only on liquidity, adoption and macro narratives, but also on confidence that the software and surrounding services can withstand modern cyber threats. The industry’s demand for stronger AI access is therefore part of a larger struggle to keep open financial networks secure in an era when both attackers and defenders are using increasingly capable tools.

The debate is likely to remain complex. AI labs must manage real risks around model misuse, while open-source maintainers must protect systems that hold and transmit meaningful economic value. The crypto firms’ message is that security researchers should not be forced to fight next-generation attacks with last-generation tools. Whether AI labs create wider trusted pathways for those researchers may become an important test of how frontier model governance adapts to the needs of decentralized financial infrastructure.

Frequently Asked Questions (FAQs)

What are bitcoin and crypto firms asking AI labs to do?

They are asking major AI labs to provide vetted open-source security researchers with early access to powerful cyber-capable models, sufficient compute resources, secure testing environments, eligibility for independent maintainers and direct communication channels with lab security teams.

Which companies signed the letter?

The letter was signed by more than three dozen bitcoin and crypto organizations, including Coinbase, Block, BitGo, Blockstream, Anchorage Digital, ARK Invest, Bitwise, Foundry, Casa and Exodus, along with nonprofit developer funds such as Brink, Chaincode and Btrust.

Why are Bitcoin Core developers mentioned?

Bitcoin Core developers maintain the software that runs the Bitcoin network. The signatories argue that these developers are not getting access to trusted-partner programs at major AI labs, even though their work helps protect critical open-source financial infrastructure.

Why can AI safety filters be a problem for defenders?

Safety filters are designed to stop harmful activity such as malware creation, but they can also block legitimate vulnerability research. Security researchers may need to analyze exploit patterns or test code behavior in controlled settings to find and fix flaws before attackers exploit them.

What happened with BTCPay Server and Lightning nodes?

BTCPay Server disclosed a critical flaw that attackers had already exploited to drain Lightning nodes belonging to merchants. Foundation, a hardware wallet maker that also signed the letter, lost its own node in that attack.

What is the Bitcoin Red Team?

The Bitcoin Red Team is a volunteer group that has been using AI models to review bitcoin codebases. It has filed thousands of findings across hundreds of projects, including the report that helped produce BTCPay Server’s patch.

Are the firms asking for unrestricted AI access?

No. The request is for controlled access for vetted security researchers, along with secure testing environments and direct reporting channels. The goal is to improve defensive research without removing the need for safeguards.

Why does this matter for the crypto market?

Crypto markets rely on secure infrastructure, including wallets, nodes, payment systems and open-source protocol software. If defenders lack strong tools while attackers gain access to advanced capabilities, the risk of damaging exploits can increase.

Could AI labs change their policies because of this request?

It is not certain that AI labs will change their policies, but the letter adds pressure from major crypto firms and open-source developer organizations. Any response could influence how security researchers prepare for AI-assisted cyber threats.

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