Trezor Integrates MEV Protection for Secure Network Trading

TheCryptoTimesPublicado em 2025-09-24Última atualização em 2025-09-24

Hardware wallet provider Trezor has added a new feature to its Trezor Suite app to protect users from blockchain tricks that raise fees or ruin trades on Ethereum, BNB Smart Chain, and Base networks.

On Wednesday, Trezor introduced MEV Protection in its app to stop bots from manipulating blockchain transactions. These bots reorder trades to charge extra fees or make unfavorable deals, like front-running or sandwich attacks, which often cause higher costs or failed transactions for regular users on decentralized networks.

Trezor uses Merkle.io’s backend to keep transactions hidden from bots until they’re completed. This helps prevent sudden price swings during token swaps, avoids failed transfers, and delivers more consistent results, all automatically within the Trezor Suite.

Lauri Hänninen, Trezor’s product marketing lead, described the addition as a step toward reducing real-world friction in crypto management. He noted that MEV Protection is part of the Trezor Suite’s ongoing improvements.

Trezor Enhances Suite with MEV Protection

Trezor, founded in 2013, was one of the first companies to make secure hardware wallets for Bitcoin, giving users full control over their crypto. Today, it supports a wide range of digital currencies.

Part of SatoshiLabs, which focuses on bitcoin and crypto tools, Trezor launched Trezor Academy in 2024 to teach beginners how to safely manage risks in the crypto world. 

Trezor’s new feature launch happens as DeFi platforms face criticism for bot-related issues that undermine user trust. No plans were shared for adding it to other blockchains, but Trezor says it builds on earlier security improvements in the Suite app. 

Trezor is making it easier and safer for people to manage their digital assets. The company is focused on building trust and giving users a smoother experience in the fast-moving DeFi world. 

As part of this push, on August 22, 2025, Trezor added WalletConnect support to its Trezor Suite app, letting users connect with other platforms and apps more seamlessly. It’s a small but meaningful step toward making DeFi a bit more user-friendly and reliable.


Mobile Only Image

Leituras Relacionadas

Precious Metals Decline Alongside, What Signal is Gold Sending to the Market?

Gold and silver prices have declined recently, moving in tandem with a sell-off in risk assets like South Korean semiconductor stocks. This is unusual, as gold typically rises when equities fall due to its safe-haven status. The synchronized drop signals a shift in market focus: it's not about finding safety, but about the rising cost of holding assets that do not yield interest. This cost is the real interest rate. The key driver is a change in Federal Reserve policy expectations under new Chair Kevin Warsh. Despite holding rates steady, the Fed's rhetoric has turned more hawkish, emphasizing persistent inflation risks. This has led markets to price in a "higher for longer" rate environment, increasing the appeal of cash and bonds while pressuring zero-yield assets like gold and tech stocks with high future cash flow valuations. Technically, gold breached the $4,100/oz support level, approaching the critical $4,000 psychological and technical zone. A break below could trigger accelerated selling from momentum traders and ETFs. While long-term supportive factors like central bank buying and geopolitical risks remain, short-term price action is dominated by liquidity and opportunity cost dynamics. The South Korean market meltdown, driven by crowded AI-trade unwinding, is a symptom—not the cause—of this broader macro repricing. Both markets are reacting to the same pressures: higher real rates and a stronger US dollar. In summary, the concurrent decline in equities and precious metals highlights that diverse assets can share exposure to a common macro variable—the price of money. The near-term path for gold and silver depends primarily on the persistence of Fed hawkishness, dollar strength, and real yields, which currently override their traditional safe-haven narratives.

marsbitHá 4m

Precious Metals Decline Alongside, What Signal is Gold Sending to the Market?

marsbitHá 4m

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

Chip stocks led a broad decline in US markets, with the Nasdaq dropping 2.2% and the S&P 500 falling 1.4%. This selloff reflects a dual challenge for the once-high-flying AI hardware trade: rising interest rate expectations and growing investor impatience for clear returns from massive AI capital expenditures. The pressure was most acute on hardware leaders. Nvidia fell about 4%, dipping below a $5 trillion market cap, while Micron plunged 13.2% ahead of its earnings report. Declines across memory, storage, AI, and mobile chips indicated a sector-wide retreat. The selloff spread globally, with South Korea's KOSPI index dropping nearly 10% as key suppliers SK Hynix and Samsung recorded double-digit losses. Investors appeared to be taking profits from the most crowded trades first. Macro headwinds intensified as market expectations shifted toward a more aggressive Federal Reserve. Forecasts for multiple rate hikes in 2026 pressured high-valuation tech stocks, which rely on long-term growth projections that become less attractive as discount rates rise. Concurrently, investors are scrutinizing the profit potential of the immense AI spending by cloud giants like Alphabet, Amazon, and Meta. While these expenditures drive demand for chips and hardware, the market is now questioning whether AI services will generate sufficient returns to justify the ongoing costs. This adjustment is not necessarily a bubble burst but a recalibration. AI demand fundamentals remain, but the narrative of endless growth can no longer fully offset concerns over higher interest rates and a longer path to profitability. Near-term direction may hinge on Micron's upcoming earnings guidance and incoming inflation data, which will influence both the AI demand outlook and the Fed's policy path. The market is transitioning from blindly buying growth to demanding clearer visibility on returns.

marsbitHá 1h

Chip Stocks Lead U.S. Market Decline: Is AI Trading Being Hit by Both Interest Rates and Returns?

marsbitHá 1h

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

OpenAI's new paper "Reinforcement Learning Towards Broadly and Persistently Beneficial Models" explores training AI to maintain safe, helpful, and honest behavior even under pressure, in unseen scenarios, or after being fine-tuned for harmful purposes. Moving beyond simple rule-based "don'ts," the research focuses on cultivating "beneficial traits" like honesty, risk-awareness, corrigibility, and transparency. It investigates if reinforcement learning (RL), often prone to "reward hacking" where models exploit loopholes, can instead be used to instill robust, generalized positive behaviors. Researchers created a multi-domain synthetic dialogue dataset covering areas like healthcare and law. They trained a model by replacing 5% of standard RL data with "beneficial trait" data. This model outperformed the baseline in 83% of 53 evaluations, showing average gains of 9.1% in alignment, safety, and helpfulness. Crucially, improvements generalized: a model trained only on healthcare "good behavior" data also performed better in 17 out of 19 non-healthcare alignment tests. The paper also tests "alignment persistence." When subjected to adversarial prompts or harmful fine-tuning, the beneficial trait model showed greater resilience, with smaller performance drops and less "spillover" of bad behavior to unrelated tasks. While not a complete solution, this work suggests a shift from post-hoc correction to proactively shaping robust, principled AI behavior, a critical step for deploying models in high-stakes, complex decision-making scenarios.

marsbitHá 1h

OpenAI's New Paper: How to Train an AI that "Doesn't Deteriorate Under Pressure"?

marsbitHá 1h

Trading

Spot
Futuros
活动图片