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OpenAI Plans Advanced Cybersecurity Product—With ‘Trusted Access’ Only

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In brief

  • OpenAI is joining Anthropic in locking down its most powerful cyber AI, according to a new report.
  • Frontier models and products now appear to be too risky to release publicly.
  • Top-tier AI is shifting to invite-only, controlled access.

OpenAI is currently building a cybersecurity product it plans to release exclusively through its “Trusted Access for Cyber” program, according to Axios. The program was previously announced in February, and it’s meant to be a controlled rollout that keeps certain products away from the general public and in the hands of defensive security operators only.

OpenAI launched the program after releasing GPT-5.3-Codex, currently its most capable cybersecurity offering, and is backing participant access with $10 million in API credits.

The news comes amid growing worry among cybersecurity experts over the potential for increasingly powerful AI products overwhelming existing systems. Just earlier this week, Anthropic spooked itself with its own creation, Claude Mythos.

Anthropic said Mythos is the company’s most capable AI model, and turned out to be so effective at finding security vulnerabilities—zero-days in every major operating system and browser—that it decided only a handpicked group of organizations should have access to it.

Now OpenAI is, reportedly, doing something similar.

Anthropic is currently fighting a legal battle after the Pentagon designated it a supply chain risk after the company refused to lift usage restrictions on Claude for surveillance and autonomous weapons applications. Federal agencies have been scrutinizing AI companies’ safety protocols with increasing intensity since early April.

As of now, OpenAI has not shared any public information officially confirming or denying the reports.

The reason for the restrictions isn’t subtle. Anthropic’s Mythos Preview, which leaked before its official rollout, was found capable of identifying “tens of thousands of vulnerabilities” that even advanced human bug hunters would struggle to locate. The model is described as “extremely autonomous” and reasons with the sophistication of a senior security researcher. That kind of capability, available to anyone with an API key, is the kind of thing that keeps security teams up at night.

Anthropic’s response was Project Glasswing—a controlled access initiative that gives Mythos Preview only to vetted organizations: Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase, the Linux Foundation, Microsoft, Nvidia, Palo Alto Networks, and roughly 40 others involved in maintaining critical infrastructure.

OpenAI’s decision to lock down products like this one looks like an attempt to get ahead of that regulatory pressure. By voluntarily restricting access before a government agency tells them to, OpenAI positions itself as the responsible actor in a space where Anthropic is getting hammered.

The restrictions also reflect something deeper than caution about one specific model. Anthropic’s own safety report acknowledged that Cybench, the benchmark used to evaluate whether an AI poses serious cyber risk, “is no longer sufficiently informative of current frontier model capabilities”—because Mythos cleared it completely. The tool built to measure the danger is no longer adequate for what’s being built. Anthropic added that its overall safety determination “involves judgment calls” and that many evaluations leave “more fundamental uncertainty.”

Anthropic committed up to $100 million in usage credits and $4 million in direct donations to open-source security organizations as part of its rollout. OpenAI has not announced a comparable commitment alongside its access program, though both companies are framing their restricted programs as a net benefit for defensive security—the idea being that giving better tools to defenders before attackers get them is worth the tradeoff of limiting general access.

The pattern emerging across the frontier AI industry is that the most capable models will no longer arrive as broad product launches. They’ll be distributed more like classified research—selectively, under agreement, to organizations with the infrastructure and intent to use them responsibly.

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World Liberty Financial Has Borrowed Millions Against Its Own Token

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The DeFi project’s treasury used 3 billion WLFI tokens as collateral on Dolomite to borrow $75 million in stablecoins over the past week.

World Liberty Financial, the DeFi venture affiliated with the Trump family, leveraged its treasury to borrow roughly $75 million in stablecoins from Dolomite, the lending protocol co-founded by WLFI’s chief technology officer, Corey Caplan.

On-chain data shows WLFI’s official treasury multisig routed approximately 3 billion WLFI tokens through an intermediary wallet over the past week before depositing the full amount into Dolomite as collateral. The treasury wallet previously deposited roughly 2 billion WLFI directly into Dolomite. The collateral positions are currently valued at roughly $460 million as of April 9, per Dolomite’s stats page.

WLFI Recent Borrows on Dolomite

In the new wallet, the team borrowed 65.4 million USD1 and 10.3 million USDC, roughly $75.7 million in total, although $15 million was repaid on April 7, according to on-chain data.

World Liberty Financial launched World Liberty Markets in January, in partnership with Dolomite, offering lending and borrowing services for its USD1 stablecoin. The arrangement effectively means WLFI built its flagship DeFi product on infrastructure created by one of its own executives, and then used its treasury to become the dominant borrower on that same platform.

WLFI collateral now accounts for more than half of Dolomite’s deposits. The dynamic has drawn comparisons to some of DeFi’s most cautionary episodes involving founders leveraging their own governance tokens.

In June 2024, Curve Finance founder Michael Egorov was forced into roughly $80 million in CRV liquidations after borrowing nearly $100 million in stablecoins across multiple lending protocols using CRV as collateral. At the time, onlookers argued that Egorov had effectively cashed out without selling, extracting $100 million in stablecoins from a $140 million CRV position.

The playbook echoes an even earlier precedent. In January 2022, Wonderland co-founders Daniele Sestagalli and 0xSifu suffered cascading liquidations after leveraging their staked TIME tokens as collateral on Abracadabra, a lending protocol within their own Frog Nation ecosystem. The founders’ oversized positions cratered TIME from $800 to $360 in hours, triggering a vicious cycle in which liquidated collateral was sold into an already weak market, fueling further margin calls.

DeFi analyst Ethan described WLFI’s maneuver as a similar mechanism to extract liquidity without directly selling tokens, while Ignas warned that the WLFI-backed borrowing may ultimately prove unrepayable.

WLFI Slides to All-Time Low

The WLFI token briefly fell nearly 10% on April 9, hitting $0.0885, its lowest level since trading began in September 2025, according toCoingecko.

WLFI Chart
WLFI Chart

The thin market depth compounds the risk: if an actor were to aggressively short WLFI, the resulting price drop could trigger a liquidation cascade that Dolomite cannot absorb, since there is no clean path to liquidating billions of illiquid governance tokens.

USD1 is backed by U.S. Treasuries and cash equivalents, limiting the risk of a full depeg. But with USD1’s circulating supply now exceeding $4 billion, the fallout from a Dolomite crisis could extend well beyond the WLFI token itself.

The episode arrives alongside a separate controversy. An investigation by The Times found that WLFI had integrated USD1 with AB DAO, a Southeast Asian blockchain project that had been promoting a resort linked to Cambodia’s Prince Group, whose founder Chen Zhi was sanctioned by U.S. and U.K. authorities in November over alleged involvement in large-scale online fraud. WLFI said it was unaware of AB DAO’s prior ties.

World Liberty Financial has not issued a public statement addressing the recent borrowing, and Dolomite did not immediately respond to The Defiant’s request for comment.

This article was written with the assistance of AI workflows. All our stories are curated, edited and fact-checked by a human.

Here’s Why Ethereum Price Remains Bullish Above $1,800.

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Ether’s (ETH) recent sell-off was stopped at $1,800, as bulls aggressively defended the level. Ether’s rebound above $2,100, along with on-chain and technical data, suggests that traders will hold the price above $2,000 for the short-term.

Key takeaways:

  • Ether’s profitability metrics drop to levels that have historically marked local bottoms.

  • The MVRV Z-score and pricing bands suggest ETH price drop to $1,800 was the bottom.

  • ETH price bounced off a multi-year trendline that has marked previous macro lows.

Ether traders realize losses

Onchain data shows that Ether’s Spent Output Profit Ratio (SOPR) is at 0.96, suggesting ETH investors are still selling at a loss. 

This metric dropped as low as 0.92 on Feb. 6, implying that Ether’s price drop to $1,800 was driven by traders realizing losses amid panic and extreme fear.

Related: Ethereum stablecoin supply hits $180B all-time high: Token Terminal

SOPR measures the profit or loss of spent ETH outputs by comparing the value of coins when they were last moved to their value when they are spent again. 

A value below 1 might suggest capitulation or a market bottom, potentially signaling a good time to buy.

Ether SOPR. Source: Glassnode

Historically, this scenario has often preceded price recoveries. When SOPR fell to 0.86 following Ether’s drop to $1,500 in April, it was followed by a 246% price recovery to its current all-time high of $4,950. 

Similar scenarios in 2022 and 2023 were followed by 130% and $155% ETH price rallies, respectively.

As such, some investors saw the drop to $3,000 as an opportunity to buy.

MVRV Z-Score suggests Ether bottomed at $1,800

Ether’s MVRV Z-Score, a key onchain metric used to identify market tops and bottoms, has dropped into the historical accumulation zone (the green line in the chart below), strengthening the argument that ETH may have found a bottom.

Ethereum: MVRV Z-score. Source: Capriole Investments

The last time Ether’s MVRV Z-score fell to the current levels was in April 2025, after a 66% price drawdown. This coincided with a macro market bottom at $1,400 and preceded a multi-month rally, with the ETH/USD pair rising 258% to its current all-time high of $4,950. 

Meanwhile, the 0.80 MVRV pricing band, which has historically marked cycle bottoms, is currently at $1,880. 

ETH: MVRV pricing bands. Source: Glassnode

This indicates that, from an onchain perspective, Ether is undervalued and may continue the ongoing recovery, potentially rising toward dense liquidity clusters between $2,400 and $2,600 in the short term.

ETH price sits on strong support above $1,800

Data from TradingView shows that ETH price has successfully held above a key support zone over the last two months, as illustrated in the chart below.

This is the area around $1,800, where investors acquired more than 1.35 million ETH, according to Glassnode’s cost basis distribution heatmap.

ETH cost basis distribution heatmap. Source: Glassnode

This level aligns with a multi-year trendline that has historically marked the bottom for ETH/USD, as seen in 2022 and in April 2025.

ETH/USD weekly chart. Source: Cointelegraph/TradingView

Ether’s rebound from this level in early February suggests the trendline still holds as support, paving the way for a sustained recovery toward $4,800.

As Cointelegraph reported, a drop below $2,000, where the 20-day EMA and the 50-day SMA converge, could see the price drop toward the next major support at $1,750.