Kyrgyzstan-based cryptocurrency exchange Grinex has suspended its operations after suffering a $13.7 million hack attributed to Western intelligence agencies.

The funds were stolen from cryptocurrency wallets belonging to Russian users, as the platform enables crypto-ruble exchange operations between Russian businesses and individuals.

Launched early last year, Grinex has Russian links and is believed to be a rebrand of Garantex, a Russian crypto exchange whose admin was arrested and whose domains were seized over allegations of processing more than $100 million in illicit transactions and enabling money laundering.

In August 2025, the U.S. Department of the Treasury announced sanctions against Grinex, based on evidence that the exchange service was a continuation of Garantex activity, accepting the same actors, their funds, and facilitating an identical role as an illegal operations enabler.

Grinex continued to operate, providing Russia with some level of financial sovereignty and ability to bypass international sanctions that impacted banking and transactions, mainly through a Russian ruble-backed stablecoin named A7A5, which was directly adopted from Garantex.

The exchange says that the type of attack and the digital footprint indicate a threat actor associated with “foreign intelligence agencies” that have “an unprecedented level of resources and technology, accessible only to entities of hostile states.”

“According to preliminary data, the attack was coordinated with the aim of directly harming Russia’s financial sovereignty,” Grinex states.

Blockchain analysis firm Elliptic reports that the theft occurred on Wednesday at 12:00 UTC, and the stolen funds were sent to TRON and Ethereum addresses, then converted into TRX and ETH through the SunSwap decentralized trading protocol.

TRM Labs identified 70 attacker addresses and also discovered a second hack at TokenSpot, another exchange based in Kyrgyzstan with ties to Grinex.

TRM Labs links TokenSpot to Houthi-linked laundering operations, weapons procurement, and the InfoLider influence operation in Moldova, all aligning with Russian strategic goals.

Neither Grinex’s announcement nor Elliptic’s or TRM Labs’ reports provides any evidence pointing to a specific perpetrator, and no technical evidence or indicators were provided to support the exchange’s attribution to Western intelligence services.

BleepingComputer has contacted Grinex about attribution of the attack, but we have not received a response by publishing time.

Anthropic today launched Claude Design, a new product from its Anthropic Labs division that allows users to create polished visual work — designs, interactive prototypes, slide decks, one-pagers, and marketing collateral — through conversational prompts and fine-grained editing controls. The release, available immediately in research preview to all paid Claude subscribers, is the company’s most aggressive expansion beyond its core language model business and into the application layer that has historically belonged to companies like Figma, Adobe, and Canva.

Claude Design is powered by Claude Opus 4.7, Anthropic’s most capable generally available vision model, which the company also released today. Anthropic says it is rolling access out gradually throughout the day to Claude Pro, Max, Team, and Enterprise subscribers.

The simultaneous launches mark a watershed for Anthropic, whose ambitions now visibly extend from foundation model provider to full-stack product company — one that wants to own the arc from a rough idea to a shipped product. The timing is also significant: Anthropic hit roughly $20 billion in annualized revenue in early March 2026, according to Bloomberg, up from $9 billion at the end of 2025 — and surpassed $30 billion by early April 2026. The company is in early talks with Goldman Sachs, JPMorgan, and Morgan Stanley about a potential IPO that could come as early as October 2026.

How Claude Design turns a text prompt into a working prototype

The product follows a workflow that Anthropic has designed to feel like a natural creative conversation. Users describe what they need, and Claude generates a first version. From there, refinement happens through a combination of channels: chat-based conversation, inline comments on specific elements, direct text editing, and custom adjustment sliders that Claude itself generates to let users tweak spacing, color, and layout in real time.

During onboarding, Claude reads a team’s codebase and design files and builds a design system — colors, typography, and components — that it automatically applies to every subsequent project. Teams can refine the system over time and maintain more than one. The import surface is broad: users can start from a text prompt, upload images and documents in various formats, or point Claude at their codebase. A web capture tool grabs elements directly from a live website so prototypes look like the real product.

What distinguishes Claude Design from the wave of AI design experiments that have proliferated in the past year is the handoff mechanism. When a design is ready to build, Claude packages everything into a handoff bundle that can be passed to Claude Code with a single instruction. That creates a closed loop — exploration to prototype to production code — all within Anthropic’s ecosystem. The export options acknowledge that not everyone’s next step is Claude Code: users can also share designs as an internal URL within their organization, save as a folder, or export to Canva, PDF, PPTX, or standalone HTML files.

Anthropic points to Brilliant, the education technology company known for intricate interactive lessons, as an early proof point. The company’s senior product designer reported that the most complex pages required 20 or more prompts to recreate in competing tools but needed only 2 in Claude Design. The Brilliant team then turned static mockups into interactive prototypes they could share and user-test without code review, and handed everything — including the design intent — to Claude Code for implementation. Datadog’s product team described a similar shift, compressing what had been a week-long cycle of briefs, mockups, and review rounds into a single conversation.

Why Anthropic’s chief product officer just resigned from Figma’s board

The launch arrives against a backdrop that makes Anthropic’s claim of complementarity with existing design tools difficult to take entirely at face value. Mike Krieger, Anthropic’s chief product officer, resigned from the board of Figma on April 14 — the same day The Information reported Anthropic’s next model would include design tools that could compete with Figma’s primary offering.

Figma has collaborated closely with Anthropic to integrate the frontier lab’s AI models into its products. Just two months ago, in February, Figma launched “Code to Canvas,” a feature that converts code generated in AI tools like Claude Code into fully editable designs inside Figma — creating a bridge between AI coding tools and Figma’s design process. The partnership felt like a mutual bet that AI would make design more essential, not less. Claude Design complicates that narrative significantly.

Anthropic’s position, based on VentureBeat’s background conversations with the company, is that Claude Design is built around interoperability and is meant to meet teams where they already work, not replace incumbent tools. The company points to the Canva export, PPTX and PDF support, and plans to make it easier for other tools to connect via MCPs (model context protocols) as evidence of that philosophy. Anthropic is also making it possible for other tools to build integrations with Claude Design, a move clearly designed to preempt accusations of walled-garden ambitions.

But the market read the signals differently. The structural tension is clear: Figma commands an estimated 80 to 90% market share in UI and UX design, according to The Next Web. Both Figma and Adobe assume a trained designer is in the loop. Anthropic’s tool does not. Claude Design is not merely another AI copilot embedded in an existing design application. It is a standalone product that generates complete, interactive prototypes from natural language — accessible to founders, product managers, and marketers who have never opened Figma. The expansion of the design user base to non-designers is the real competitive threat, even if the professional designer’s workflow remains anchored in Figma for now.

Inside Claude Opus 4.7, the model Anthropic deliberately made less dangerous

The model powering Claude Design is itself a significant story. Claude Opus 4.7 is Anthropic’s most capable generally available model, with notable improvements over its predecessor Opus 4.6 in software engineering, instruction following, and vision — but it is intentionally less capable than Anthropic’s most powerful offering, Claude Mythos Preview, the model the company announced earlier this month as too dangerous for broad release due to its cybersecurity capabilities.

That dual-track approach — one model for the public, one model locked behind a vetted-access program — is unprecedented in the AI industry. Anthropic used Claude Mythos Preview to identify thousands of zero-day vulnerabilities in every major operating system and web browser, as reported by multiple outlets. The Project Glasswing initiative that houses Mythos brings together Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, Nvidia, and Palo Alto Networks as launch partners.

Opus 4.7 sits a deliberate step below Mythos. Anthropic stated in its release that it “experimented with efforts to differentially reduce” the new model’s cyber capabilities during training and ships it with safeguards that automatically detect and block requests indicating prohibited or high-risk cybersecurity uses. What Anthropic learns from those real-world safeguards will inform the eventual goal of broader release for Mythos-class models. For security professionals with legitimate needs, the company has created a new Cyber Verification Program.

On benchmarks, the model posts strong numbers. Opus 4.7 reached 64.3% on SWE-bench Pro, and on Anthropic’s internal 93-task coding benchmark, it delivered a 13% resolution improvement over Opus 4.6, including solving four tasks that neither Opus 4.6 nor Sonnet 4.6 could crack.

The vision improvements are substantial and directly relevant to Claude Design: Opus 4.7 can accept images up to 2,576 pixels on the long edge — roughly 3.75 megapixels, more than three times the resolution of prior Claude models. Early access partner XBOW, the autonomous penetration testing company, reported that the new model scored 98.5% on their visual-acuity benchmark versus 54.5% for Opus 4.6.

Meanwhile, Bloomberg reported that the White House is preparing to make a version of Mythos available to major federal agencies, with the Office of Management and Budget setting up protections for Cabinet departments — a sign that the government views the model’s capabilities as too important to leave solely in private hands.

What enterprise buyers need to know about data privacy and pricing

For enterprise and regulated-industry buyers, the data handling architecture of Claude Design will be a critical evaluation criterion. Based on VentureBeat’s exclusive background discussions with Anthropic, the system stores the design-system representation it generates — not the source files themselves. When users link a local copy of their code, it is not uploaded to or stored on Anthropic’s servers. The company is also adding the ability to connect directly to GitHub. Anthropic states unequivocally that it does not train on this data. For Enterprise customers, Claude Design is off by default — administrators choose whether to enable it and control who has access.

On pricing, Claude Design is included at no additional cost with Pro, Max, Team, and Enterprise plans, using existing subscription limits with optional extra usage beyond those caps. Opus 4.7 holds the same API pricing as its predecessor: $5 per million input tokens and $25 per million output tokens. The pricing strategy mirrors the approach Anthropic took with Claude Code, which launched as a bundled feature and rapidly grew into a major revenue driver. Anthropic’s reasoning is straightforward: the best way to learn what people will build with a new product category is to put it in their hands, then build monetization around demonstrated value.

Anthropic is also being transparent about the product’s limitations. The design system import works best with a clean codebase; messy source code produces messy output. Collaboration is basic and not yet fully multiplayer. The editing experience has rough edges. There is no general availability date, and Anthropic says that is intentional — it will let the product and user feedback determine when Claude Design is ready for prime time.

Anthropic’s bet that owning the full creative stack is worth the risk

Claude Design is the most visible expression of a trend that has been accelerating for months: the major AI labs are moving up the stack from model providers into full application builders, directly entering categories previously owned by established software companies. Anthropic now offers a coding agent (Claude Code), a knowledge-work assistant (Claude Cowork), desktop computer control, office integrations for Word, Excel, and PowerPoint, a browser agent in Chrome, and now a design tool. Each product reinforces the others. A designer can explore concepts in Claude Design, export a prototype, hand it to Claude Code for implementation, and have Claude Cowork manage the review cycle — all within Anthropic’s platform.

The financial momentum behind this expansion is staggering. Anthropic has received investor offers valuing the company at approximately $800 billion, according to Reuters, more than doubling its $380 billion valuation from a funding round closed just two months ago. But building an application empire while simultaneously navigating an AI safety reputation, an impending IPO, growing public hostility toward the technology, and the diplomatic fallout of competing with your own partners is a balancing act that no technology company has attempted at this scale or speed.

When Figma launched Code to Canvas in February, the implicit promise was that AI coding tools and design tools would grow together, each making the other more valuable. Two months later, Anthropic’s chief product officer has left Figma’s board, and the company has shipped a product that lets anyone who can type a sentence create the kind of interactive prototype that once required years of design training and a Figma license. The partnership may survive. But the power dynamic just changed — and in the AI industry, that tends to be the only kind of change that matters.

The storage company is launching a Dropbox file app, a Dropbox Dash enterprise search app, and a Reclaim AI calendar app inside ChatGPT, letting users access, save, and act on their work without leaving the AI interface.

The move is the latest sign that ChatGPT is positioning itself as a productivity operating system, not just a chat tool.

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Dropbox is launching three new apps inside ChatGPT, extending its file storage, enterprise search, and AI calendar products into OpenAI’s chat interface.

The three apps, a core Dropbox file app, a Dropbox Dash app, and a Reclaim AI calendar app, cover the three main coordination tasks that knowledge workers switch between constantly: finding documents, getting answers from company knowledge, and managing time.

All three are available or coming shortly to the ChatGPT app directory.

The core Dropbox app, now globally available to customers on any plan, lets users access and preview their Dropbox files, save AI-generated content directly back to Dropbox, and share links from within a ChatGPT conversation.

ChatGPT can also reference files already stored in a user’s Dropbox account when generating drafts or answering questions, providing relevant context without requiring manual uploads or copy-pasting between tools.

Dropbox says existing sharing permissions and access controls are preserved when files are accessed through the ChatGPT integration.

The Dropbox Dash app extends that context significantly. Dash, Dropbox’s enterprise search product, already aggregates content from more than 30 connected workplace applications, including email, Slack, Google Workspace, and other commonly used tools, into a single searchable surface.

The ChatGPT integration means a user can ask a question in ChatGPT and receive an answer drawn from that broader company knowledge base, personalised to what that user and their team have access to.

The Dash app will be available in the coming weeks for existing Dash customers, with a free 30-day trial available for new users.

The third app brings Reclaim AI, the AI scheduling tool Dropbox acquired for $40.2 million in July 2024, directly into ChatGPT. Reclaim uses AI to automatically manage and optimise Google Calendar and Microsoft Outlook schedules, defending focus time, scheduling around preferences, and resolving conflicts.

The ChatGPT integration lets users add events, find meeting times, analyse productivity patterns, and get an overview of their day from within a chat conversation.

The app is available globally in English to users on the latest version of the Reclaim AI calendar system.

The three launches reflect a broader shift in how productivity software companies are positioning themselves relative to AI chat interfaces.

Rather than build competing AI assistants, a path that would put Dropbox in direct contest with OpenAI, Google, and Microsoft, Dropbox is making its products available within the interface where users are increasingly spending time.

The strategy mirrors moves by other enterprise software companies building apps into the ChatGPT ecosystem, which has rapidly expanded beyond conversational AI toward something resembling a task-execution layer: a place where users not only ask questions but act on the answers.

For Dropbox, whose core file-sync business faces competition from Google Drive and Microsoft OneDrive, the ability to make Dropbox the preferred storage endpoint for AI-generated content could meaningfully reinforce the product’s relevance.

Within the space of a few weeks in 2020, a disagreement between the ambitions of Epic Games and the intention to maintain the App Store status quo by Apple courted considerable controversy. The affair commenced with little warning to consumers but quickly led to international interest as the battle sought to change one of the fundamental elements of the App Store: how much Apple earns.
Apple’s dominance has previously led to an antitrust probe by the U.S. Justice Department into the App Store’s fees and policies. Still, the disagreement between Apple and Epic was being made more public and directly affected younger customers.

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