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SlowMist Debuts Web3 Security Stack for Autonomous AI Agents

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SlowMist has unveiled a five-layer security framework intended to help crypto firms navigate the mounting risks tied to AI and Web3 agents performing on-chain actions. In a midweek blog post, the cybersecurity company described a holistic approach that blends governance controls, an AI development security solution (ADSS), and a set of execution-layer tools to create a closed-loop process: checks before execution, constraints during execution, and a structured review after actions complete. By design, the system seeks to defend against prompts injection, supply-chain poisoning, and data leaks, while preserving the efficiency and speed that autonomous agents can deliver for trading, wallet interactions, and other on-chain workflows.

Key takeaways

  • The framework fuses governance via ADSS with execution-layer tools—OpenClaw, MistEye Skill, MistTrack Skill, and MistAgent—to create a phased workflow that anticipates risk at every stage of decision and action.
  • It targets core attack vectors such as prompt injection, supply-chain poisoning, data leaks, and asset loss arising from unauthorized AI actions or agent exploits.
  • ADSS establishes auditable security standards, including AI agent permission constraints, real-time threat checks for external interactions, and stronger on-chain risk detection.
  • SlowMist positions the framework against a backdrop of rising autonomous trading tools in crypto, citing no-code AI agents from several platforms and cross-chain execution on Base and Solana.
  • Officials say the aim is to convert scattered security actions into a repeatable, executable, auditable, and sustainable process that can scale with AI-driven automation.

Market context: The push to formalize security for autonomous agents aligns with a broader market shift toward programmatic trading and automated on-chain interactions. As liquidity and risk sentiment shift in response to macro developments and regulatory signals, firms seek standardized, auditable controls that can reduce operational risk without throttling AI-driven efficiency. The emergence of no-code AI trading interfaces and cross-chain execution capabilities adds urgency to governance frameworks that can scale across Layer-1 and Layer-2 ecosystems.

Why it matters

For users and investors, the SlowMist framework offers a blueprint for safeguarding assets as AI agents increasingly operate across wallets and decentralized protocols. The five-layer approach, anchored by ADSS, promises a transparent trail of permission settings, risk checks, and post-action reviews that can be audited by internal security teams or external auditors. This could improve trust in automated workflows, especially in volatile market conditions where rapid execution is both a strength and a risk.

For builders and protocol teams, the framework underscores the need for integrated security into product design rather than relying on ad hoc safeguards. By codifying a closed-loop model—checks before execution, constraints during execution, and post-action review—developers can embed risk controls into AI agents without sacrificing performance. In practice, this means developers might implement standardized permission schemas, real-time external interaction checks, and on-chain anomaly detection as core components of any AI-enabled automation feature.

In a broader sense, the initiative reflects how the crypto and AI sectors are intertwining governance with execution. As autonomous agents become more capable, there is a parallel demand for auditable standards that can reassure users, exchanges, and regulators. The industry conversation around AI-enabled automation has grown alongside headlines about the growing value and potential of AI technologies, including coverage on OpenAI’s market trajectory and speculation about a trillion-dollar IPO, which highlights the high stakes involved in AI-enabled innovation. For context, related coverage has explored the business value and regulatory considerations of AI-driven platforms (see related coverage linking to ongoing discussions about AI-driven economic potential).

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What to watch next

  • Adoption of the five-layer framework by crypto firms implementing AI agents and autonomous trading tools.
  • Public audits, case studies, or user reports detailing how ADSS and the accompanying tools performed in practice.
  • Updates to the execution-layer tools (OpenClaw, MistEye Skill, MistTrack Skill, MistAgent) and any interoperability efforts with major networks like Base and Solana.
  • Regulatory guidance or standards developments that address governance and security for autonomous on-chain actions.

Sources & verification

  • SlowMist’s blog post: Comprehensive security solution for AI and Web3 agents — https://slowmist.medium.com/comprehensive-security-solution-for-ai-and-web3-agents-9d56ce85f619
  • AI agents article: AI agents crypto wallets safe risks — https://cointelegraph.com/news/ai-agents-crypto-wallets-safe-risks
  • Nansen autonomous trading tools on Base and Solana — https://cointelegraph.com/news/nansen-autonomous-ai-crypto-trading-base-solana
  • OpenAI trillion-dollar IPO discussion — https://cointelegraph.com/news/openai-ipo-1t-valuation-late-2026-report

Five-layer security framework for AI and Web3 actions

SlowMist’s auditable approach centers on a structured, end-to-end cycle designed to tame risk without throttling AI-driven advantage. At the core is the ADSS governance solution, a control plane that sits alongside a set of execution tools collectively described as the digital fortress. The governance layer is not merely a policy document; it is an operational framework that imposes permission constraints on AI agents, enabling administrators to specify who can do what, when, and under which conditions. Real-time threat checks monitor external interactions as actions unfold, and the system’s on-chain risk detection capabilities provide visibility into anomalous patterns that might indicate unauthorized behavior or compromised inputs.

In tandem with ADSS, SlowMist deploys a quartet of execution-layer components—OpenClaw, MistEye Skill, MistTrack Skill, and MistAgent. While the article detailing the framework does not exhaustively enumerate every function, the naming suggests a clear division of labor: OpenClaw potentially handles permissioned access and command execution paths, MistEye Skill may observe and interpret agent activity, MistTrack Skill could monitor execution traces for anomalies, and MistAgent might be the autonomous control layer that interfaces with on-chain actions. The overall architecture is intended to be a closed-loop system: a checks-before-execution phase curtails potentially unsafe instructions, constraints during execution limit the range of permissible actions, and a post-action review captures data for audits and future improvements.

The security fortress aims to counter a spectrum of risks that increasingly concern operators of autonomous systems. Prompt injection stands as a primary worry; AI agents can be steered to perform unintended actions if adversarial inputs are crafted to manipulate prompts. Supply-chain poisoning also looms large, where trusted software components or data feeds could be subverted to introduce backdoors or misleading behavior. Data leaks risk exposure of sensitive keys, strategies, or user data, while unauthorized operations threaten asset safety and compliance. SlowMist emphasizes that the framework is designed to mitigate these threats while preserving the speed and efficiency that automated agents deliver for trading and other on-chain tasks.

Industry context matters here. Crypto firms have been testing autonomous tools for trading and execution, with examples of no-code AI trading agents expanding access to individual traders and institutions alike. The referenced no-code solutions, including those from Nansen and other platforms, illustrate a trend toward user-friendly automation that can operate across networks such as Base and Solana. While these advancements lower barriers to entry, they also elevate the importance of robust governance and risk controls. The ADSS-driven approach provides a vocabulary and a blueprint for organizations aiming to deploy AI-powered automation with auditable safety nets, rather than relying on bespoke, one-off safeguards. In parallel discussions about the broader AI ecosystem, ongoing analyses of market potential and regulatory considerations continue to shape how autonomous tools are developed and deployed.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Volkswagen to Cut 50,000 Jobs in Germany by 2030 Amid Rising Costs

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Volkswagen to cut 50,000 jobs in Germany by 2030 following sharp profit decline.
  • Chinese EV makers reduce Volkswagen’s market share in its most profitable region.
  • Rising German energy and labor costs intensify pressure on Volkswagen operations.
  • U.S. import tariffs add nearly €3bn in costs, impacting high-value German exports.

Volkswagen’s job cuts plan targets 50,000 positions in Germany by 2030 following a 44% drop in profits. The company faces intense competition from Chinese EV makers, rising energy costs, and U.S. import tariffs while transitioning toward electric vehicles.

Profit Decline and Cost Pressures

Volkswagen reported a net profit fall from €12.4 billion to €6.9 billion last year, representing a 44% decline. This marks the lowest post-tax profit since 2016, reflecting ongoing global market pressures.

The cuts will span the entire group, including Audi and Porsche, as the company focuses on efficiency. Chief executive Oliver Blume emphasized that operating conditions are now fundamentally different from previous years.

Finance chief Arno Antlitz stressed that the current profit margin is insufficient in the long term. Volkswagen aims to reduce costs rigorously while investing in software and electric vehicle technologies. 

The company has already agreed with unions to cut over 35,000 jobs in a socially responsible manner. Executives estimate the restructuring will save €15 billion by 2030. 

The remaining reductions are part of a broader strategy to maintain competitiveness amid declining profit margins and changing production dynamics.

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Competition from China and EV Transition

China has historically been Volkswagen’s most profitable market. Domestic EV manufacturers like BYD now dominate with faster product cycles, competitive pricing, and strong technological integration. 

Sales volumes for Volkswagen in China have declined as a result. Chinese EV makers are also entering European markets, increasing pressure on Volkswagen’s traditional base.

Electric vehicles require fewer components than combustion engine models, which reduces assembly complexity and the workforce needed.

Volkswagen’s focus on electrification has increased restructuring costs. Investments in battery production, software, and new EV models are substantial, making cost control essential. 

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These factors, combined with global market shifts, make workforce reductions unavoidable. Rising energy prices in Germany and high labor costs add further challenges. 

Tariffs on U.S. imports also reduce competitiveness for German-produced vehicles. Volkswagen now faces the dual task of cutting costs while accelerating its transition to electric mobility to remain viable.

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Bitcoin Mid-Cycle Consolidation Signals Patience Phase for Investors

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Apparent demand remains negative, showing new supply exceeds market absorption for Bitcoin.
  • CryptoQuant cycle indicators fall into deep bear territory despite price holding $65K–$75K.
  • Long-Term Holder SOPR below 1 signals stress among historically strong investors.
  • Sideways price action with fading rallies reflects a prolonged patience phase in the cycle.

Bitcoin mid-cycle consolidation is evident as on-chain metrics show weakening demand and investor fatigue. Apparent demand is negative, cycle indicators remain bearish, and long-term holder SOPR has slipped below 1, reflecting stress among historically resilient holders and sideways market behavior.

Apparent Demand Reflects Market Stagnation

Bitcoin mid-cycle consolidation is apparent through the behavior of apparent demand, an on-chain metric measuring how new supply is absorbed. It compares newly mined coins to changes in long-inactive supply entering circulation. 

Positive readings indicate absorption, while negative readings suggest supply exceeds demand. Recent data shows mostly negative demand, with brief green spikes in late February failing to sustain. 

This indicates that buyers are not consistently strong enough to maintain upward momentum. Such behavior is typical of mid-cycle consolidation, where early investors distribute holdings while new participants hesitate to buy at elevated prices.

Price action remains choppy, fluctuating between short rallies and pullbacks. Traders experience psychological strain as optimism during brief rallies is often followed by disappointment. 

Markets show resilience despite negative demand, maintaining the $65K–$75K range, yet lacking sufficient capital inflow to trigger sustained upward trends.

Historical cycles indicate that these periods often precede renewed accumulation. The negative demand environment slowly tests investor patience, producing sideways movement rather than sharp corrections. 

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False breakouts and fading rallies become common during this stage, emphasizing the patience required to navigate consolidation.

Long-Term Holder SOPR Signals Growing Stress

Long-Term Holder SOPR measures whether holders sell at a profit or a loss, providing insight into market psychology. Recent readings show the 30-day EMA slipping below 1.0, signaling that even resilient holders are realizing losses.

This occurs during a mid-cycle compression phase where price stagnates and short-lived rallies fail to attract aggressive accumulation. The combination of negative apparent demand and SOPR below 1 reinforces market stagnation.

Price oscillates around the mid-$60K range, producing repeated false breakouts. Traders face uncertainty while long-term holders’ conviction is tested. 

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Coins gradually move from weaker hands to stronger holders, quietly setting the foundation for eventual accumulation once demand and confidence return.

This convergence of on-chain signals confirms Bitcoin is navigating a psychologically challenging mid-cycle consolidation, with patience as the primary tool for market participants.

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Osmosis proposes OSMO-to-ATOM conversion to deepen Cosmos Hub ties

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Osmosis proposes OSMO-to-ATOM conversion to deepen Cosmos Hub ties

Osmosis has proposed converting OSMO to ATOM and tightening Cosmos Hub integration, testing whether chain mergers can boost liquidity, governance, and valuations.

Summary

  • Osmosis plan offers OSMO–ATOM conversion at a fixed rate over six months, with unclaimed ATOM returning to the Hub community pool.
  • Proposal would bind Osmosis liquidity, security, and governance more tightly to Cosmos Hub, positioning ATOM as the primary base asset.
  • The move sharpens Cosmos’ consolidation vs app‑chain sovereignty debate, putting OSMO and ATOM holders in control via governance votes.

Interoperable DEX Osmosis has put forward a sweeping proposal to convert OSMO into ATOM and migrate its core protocol more tightly into the Cosmos Hub, in one of the most aggressive consolidation moves yet seen in the Cosmos ecosystem. The plan would effectively bind Osmosis’s liquidity, security, and governance more directly to the Hub, while offering OSMO holders a time‑limited path into ATOM exposure.

Under the proposal, all circulating OSMO – excluding undeployed community pool tokens – could be converted to ATOM over a six‑month window at a fixed rate of 1.998 OSMO for 0.0355 ATOM. Holders who do not claim within that period would see the corresponding ATOM returned to the Cosmos Hub community pool, concentrating unclaimed value under Hub governance. The structure is explicitly designed to avoid permanent dangling liabilities, while forcing a clear decision from tokenholders on whether they want to align with the Hub or exit.

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Strategically, the proposal aims to turn Osmosis from a largely independent app‑chain into a native liquidity engine for Cosmos Hub, potentially simplifying the stack for users and institutional players who view Cosmos as fragmented. By consolidating liquidity and security at the Hub layer, proponents argue that Cosmos can present a cleaner narrative to external capital: one core base asset (ATOM), one primary liquidity venue (Osmosis on Hub), and unified governance. For Osmosis, the move could widen its addressable user base if ATOM’s brand and distribution outweigh the loss of a standalone token.

The trade‑offs are significant. OSMO holders face dilution of protocol‑specific upside in exchange for broader ATOM exposure and tighter alignment with the Hub’s long‑term roadmap. Cosmos Hub, on the other hand, would be implicitly underwriting Osmosis’s future, importing not only its liquidity and fees but also its technical and governance risk. Success would push Cosmos further toward a “hub and spokes” model with ATOM at the center; failure would strengthen the case for app‑chain sovereignty over consolidation.

If passed, the proposal would mark a clear escalation in the ongoing debate over how Cosmos should compete with more monolithic ecosystems like Ethereum and Solana. It would also provide a live test of whether token conversions and protocol mergers can unlock higher valuations and deeper liquidity, or whether they simply shuffle risk and governance complexity from one balance sheet to another. For now, all eyes will be on how both OSMO and ATOM holders respond at the ballot box.

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Prime Brokers Push Wall Street Access to Prediction Markets: Report

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Crypto Breaking News

US-based prime brokers are quietly positioning themselves to give hedge funds and large institutions direct access to Kalshi’s prediction markets, a move that signals growing institutional interest in event-based betting markets. A Bloomberg report from March 11, 2026, indicates that Clear Street and Marex Group Plc are both lining up access for their clients in the near term. Clear Street, valued at over $12 billion, is expected to clear Kalshi trades as early as late March, while Marex, with a current valuation around $2.6 billion, plans a staged rollout over the coming months. The development underscores a broader shift as predictively driven markets gain traction among mainstream financial players, even amid regulatory ambiguity surrounding their legality and oversight.

Key takeaways

  • Prime brokers plan to enable client access to Kalshi’s prediction markets within weeks, signaling rapid institutional onboarding.
  • Kalshi’s leadership frames 2026 as a tipping point for institutional adoption, highlighting the market’s utility as data on future events and hedging tools.
  • Hedge funds and other large institutions have begun approaching Kalshi contractors for direct market access, indicating a demand-driven expansion.
  • Regulatory uncertainty remains a central hurdle, with debates over whether prediction markets fall under sports-betting rules and concerns about insider trading.
  • Industry leaders, including Nasdaq and CME, are calling for clearer rules to support broader US adoption of prediction markets, signaling potential regulatory alignment or pathways forward.

Sentiment: Neutral

Market context: The push by prime brokers sits at the intersection of expanding interest in reputation-based forecasting markets and ongoing regulatory scrutiny. As major exchanges press for clarity, policymakers in the U.S. are weighing how prediction markets should be treated in relation to traditional securities and gaming rules, shaping the pace at which institutions can experiment with these platforms.

Why it matters

The entry of prime brokers into Kalshi’s ecosystem represents more than a new distribution channel. It signals a potential inflection point for prediction markets, where institutions view event outcomes as a tool for hedging risk, benchmarking forecasts, and generating returns. Kalshi’s CEO, in a LinkedIn post, has argued that institutional adoption will accelerate in 2026 as the market’s utility becomes clearer—citing the ability of these markets to provide data on future events and a framework for hedging real-world positions. This perspective aligns with broader industry narratives that such markets can function as a complementary data layer for traditional asset classes and macro strategies.

The practical appeal for institutions is twofold: first, the ability to hedge corporate or portfolio risk using event-based contracts; second, an opportunity to participate in markets that CNBC, CNN, Bloomberg, and Fox increasingly reference alongside conventional tickers. Yet, this enthusiasm exists within a regulatory gray zone, particularly around whether certain prediction market offerings resemble sports betting and how insider information may flow through these platforms. The tension between potential financial utility and compliance risk is a central theme shaping how quickly banks and brokers move from exploration to formalized access.

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Industry participants have underscored that regulatory clarity is prerequisites for scalable adoption. Executives from Nasdaq and CME recently urged regulators to establish a clearer framework for prediction markets in the United States, arguing that consistent rules protect investors and foster market integrity. The CFTC has signaled its role in overseeing such markets, while the SEC has indicated it will also be involved in defining the boundaries for these instruments. The convergence of these regulatory positions will heavily influence whether institutional traction continues or stalls as cases and compliance questions proliferate across state and federal levels.

What to watch next

  • Kalshi trade launches at Clear Street are expected in late March, with additional brokers like Marex rolling out in the ensuing months.
  • Regulatory clarity on the classification of prediction markets—whether they fall under sports-betting or another regulatory category—will shape product design and participant eligibility.
  • Key lawsuits and ongoing regulatory actions in the U.S. will test the resilience of prediction markets amid a landscape of diversified enforcement.
  • Public statements from major exchanges and regulatory bodies, including updates from the CFTC and SEC, will indicate the pace of broader adoption and potential compliance requirements.
  • Institutional hedging strategies using Kalshi and similar platforms may become more visible as fund managers assess risk-off and risk-on environments amid macro volatility.

Sources & verification

  • Bloomberg report dated March 11, 2026, detailing prime brokers’ race to give Wall Street access to Kalshi’s prediction markets.
  • LinkedIn post by Kalshi CEO Tarek Mansour discussing expected acceleration of institutional adoption in 2026 and the market’s broader utility.
  • Reuters coverage of Nasdaq and CME executives calling for clearer rules to support prediction-market adoption in the U.S.
  • Statements from the Nasdaq and CME discussions about regulatory alignment, and the CFTC/SEC roles in overseeing the sector.
  • Related reporting mentioning Kalshi and Polymarket valuations and potential fundraising coverage in mainstream outlets.

Institutional access to Kalshi’s prediction markets gains momentum

Institutional appetite for prediction markets is expanding as prime brokers gear up to broaden access to Kalshi’s event-led contracts. The Bloomberg report paints a picture of late-March milestones for Clear Street, which is expected to clear the first Kalshi trade soon, and Marex, poised to follow in the coming months. The strategic move signals that major financial intermediaries view prediction markets not as speculative oddities but as components of a diversified risk management toolkit. In this view, there is a push to translate the insights from prediction markets into tradable risk-management signals for complex, multi-asset portfolios.

Kalshi’s leadership has framed 2026 as a turning point, arguing that the utility of prediction markets extends beyond speculation into practical data sources for forecasting and hedging. The company’s CEO, in a LinkedIn post, emphasized that institutional adoption will accelerate as more large players recognize the markets’ potential to quantify futures scenarios and hedge exposures. As he noted, the space is no longer an early-adopter niche but a core pillar of the financial ecosystem, with billions flowing weekly through these markets. This perspective is echoed by mainstream media outlets—CNBC, CNN, Bloomberg, and Fox—who regularly cite Kalshi alongside traditional market indicators, underscoring a shift in perception from novelty to necessity.

Nevertheless, the path forward is not without friction. Clear Street and Marex acknowledge a regulatory gray area surrounding prediction markets, alongside active litigation across the United States related to sports betting and other matters. Industry participants stress the importance of robust governance and clear rules to ensure investor protection and market integrity as adoption scales. The broader regulatory dialogue—pursued by exchanges and oversight bodies alike—aims to delineate permissible activities, address insider-trading concerns, and establish a stable framework within which institutions can transact with confidence.

In parallel, major exchanges have publicly called for regulatory clarity to facilitate US adoption. Nasdaq’s chief executive executive highlighted the need to bring options markets under a familiar rule framework, suggesting that a well-defined construct could enable investors to participate in a predictable regulatory environment. The SEC and CFTC have signaled their respective roles in overseeing emerging prediction-market activity, a development that could unlock more comprehensive product design while ensuring critical guardrails remain intact. The dynamic underscores a broader industry trend: practical finance increasingly sits at the intersection of regulatory alignment and innovative market structures, where data-driven decision-making and risk mitigation converge.

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What it means for the market

For traders and investors, the potential mainstreaming of Kalshi and prediction markets offers an additional source of informational signals—complementing traditional data feeds with market-based expectations about future events. It may also prompt portfolio managers to incorporate event-based hedges into strategic plans, especially for scenarios with high impact on sectors or individual holdings. The regulatory dialogue surrounding these markets will be pivotal; a clear, harmonized framework could spur broader participation, elevate liquidity, and reduce friction for institutions seeking to deploy these instruments as part of diversified risk management strategies.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Binance.US Hires Compliance Lawyer as New CEO

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Binance.US Hires Compliance Lawyer as New CEO

Stephen Gregory, a former compliance executive at CEX.IO and Gemini, has taken over as CEO of Binance.US, a crypto exchange that was once a target of a long-running SEC lawsuit.

Binance.US, the US affiliate of crypto exchange Binance, has named compliance lawyer Stephen Gregory as CEO as the company looks to re-expand in the country.

The company said on Wednesday that Gregory took over from former CEO Norman Reed on March 9, who will now serve in an advisory role.

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Gregory is the former CEO of crypto exchange Currency.com and previously served as compliance chief and counsel at CEX.IO and as a compliance officer for Gemini.

“I am honored to lead the Binance.US team as we write the next chapter for the best platform for U.S. crypto investors,” Gregory said. “The Binance.US brand is extremely powerful, with a founder, Changpeng Zhao (CZ), who has continuously advocated to make the US the crypto capital of the world.”

Stephen Gregory appearing on “The Wolf Of All Streets Podcast” in 2023, when he was CEO of Currency.com. Source: YouTube

Binance.US once sat in legal hot water for years after it was sued by the Securities and Exchange Commission in 2023, alleging it failed to register as an exchange, among other charges.

However, the SEC dismissed its case against the company with prejudice in May, adding to one of many crypto enforcement actions the agency has recanted under US President Donald Trump’s administration.

Binance.US hints at expanded offerings

It was also just over a year ago that Binance.US reinstated US dollar deposits and withdrawals after operating as a crypto-only exchange following the SEC lawsuit. 

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Related: Binance sues Wall Street Journal amid report of DOJ Iran probe

The past year has also seen the company launch products to expand its rewards and staking offering, as well as a referral program.

Binance.US said in its latest announcement that it plans to continue expanding its crypto staking product and will introduce services around decentralized finance and tokenized assets.