Freddie Mac and AutomatIQ have partnered to streamline mortgage processing by utilizing the AutomatIQ Borrower Income Analysis solution. This reduces manual data entry and errors, improving operational efficiency and loan underwriting. The collaboration aims to create a transparent, efficient lending environment, fostering trust and satisfaction among borrowers, while ensuring compliance with underwriting standards. Key Points: integration with Freddie Mac: Enables lenders to utilize AutomatIQ’s solution for income analysis. Efficiency Enhancements: Streamlines documentation by transmitting pay stub and W-2 data directly. Reduction of Errors: Minimizes manual entry, leading to fewer data inaccuracies. Accelerated Underwriting Process: Offers borrowers a faster and more reliable loan experience. Technological Advancement: Represents a significant move towards improved data interoperability in the mortgage industry.
Hackers drain money from mobile wallets like Apple Pay and Google Pay in seconds without the need for a card skimmer by exploiting Express Transit mode through NFC payment data relaying malware
Hackers exploit features like Express Transit mode to steal money quickly, without the need for a card skimmer. Mobile wallets like Apple Pay and Google Pay have revolutionized the way we pay, but they are not immune to attack. Some of their most convenient features, like Express Transit mode, are being exploited by hackers to steal money in seconds, without the need for a card skimmer. This mode allows commuters to bypass turnstiles without fumbling for Face ID, fingerprints, or PINs. Hackers can now grab unlocked phones, drain funds within minutes, trick users into approving payments, and exploit users who leave Express Transit enabled or use weak PINs. Recent reports show cases where phone-grabbers drained bank accounts in minutes and malware like “Ghost Tap” relayed NFC payment data globally, enabling fraudsters to make purchases anywhere in the world.
Atsign’S solution enables securely deploying AI models by eliminating open ports on AI inference nodes, data services, and MCP servers thereby removing network attack surfaces entirely and preventing discovery by botnets and external reconnaissance
Atsign announced MCP NoPorts™, a ground-breaking solution for securely deploying AI models and Model Context Protocol (MCP) servers. NoPorts Solves AI’s Core Security & Deployment Challenges: Eliminates AI Exposure (Pre-Emptive Security); Invisible Infrastructure – MCP NoPorts eliminates open ports on AI inference nodes, data services, and MCP servers. This removes network attack surfaces entirely, preventing discovery by botnets and external reconnaissance. They can’t attack what they can’t see; Cryptographic Identity Access – Every AI model, tool, or service is assigned a unique, cryptographically authenticated identity. This eliminates the need for vulnerable tokens or shared secrets. Access is granted only after identity is confirmed, delivering a zero-trust architecture that directly prevents unauthorized access and AI agent impersonation before any interaction with your tools occurs; Prevents Sensitive Data Exposure & Malicious Invocations; End-to-End Encrypted Connections – All communication to and from private AI models and MCP servers is fully encrypted by Atsign’s NoPorts, safeguarding sensitive data, proprietary logic, and AI interactions from eavesdropping and tampering, thereby preventing sensitive data exposure; Accelerates AI Deployments; No IT Bottlenecks – NoPorts removes the need for complex firewall exceptions, static IPs, or VPN setups. Developers can securely deploy and connect AI models and MCP servers in minutes, not weeks, freeing IT and networking teams from tedious configurations; Streamlined Collaboration – Securely connect developers, AI models, MCP servers and other systems globally, making seamless collaboration possible without exposing any of them to external threats.
Apple’s speech transcription AI is twice as fast and cost-effective as OpenAI’s Whisper
Apple’s speech transcription AI is twice as fast and cost-effective as OpenAI’s Whisper, according to early testing by MacStories. The AI is used in Apple’s apps like Notes and phone call transcriptions, and Apple has made its native speech frameworks available to developers within macOS Tahoe. The AI processes a 7GBm 34-minute video file in just 45 seconds, 55% faster than Whisper’s fastest model. This is due to Apple processing speech on the device, making it faster and more secure. This indicates that Apple will continue to introduce new Language Learning Models (LLMs) to drive software solutions that compete well in the market, boosted by privacy and price.
Citi Singapore almost triples wealth transactions after digital revamp; also doubled mutual fund transactions and introduced an easy visualiser for clients to quickly see their wealth portfolio movements
Citibank Singapore’s digital wealth management transactions increased 165% in the last two years due to a revamp of its mobile app and website, as well as the introduction of over a hundred features to its wealth products. The bank’s wealth management arm, Citi Wealth, has shifted its digital ecosystem to speak in the wealth language, with four of five clients using the digital app regularly. One of the biggest changes is an auto top-up feature allowing brokerage clients to invest in US dollars, with Citi doing the foreign currency swap for the client in real time. Citi also doubled mutual fund transactions and introduced an easy visualiser for clients to quickly see their wealth portfolio movements. Wealth management is now in the era of hybrid experiences, with clients using digital platforms while still talking to relationship managers. Citi combines digital and human access, allowing clients to swiftly authorise transactions without speaking with an advisor face-to-face. The bank has also created a secure WhatsApp channel for relationship managers to interact with clients.
Alibaba merges delivery platform Ele.me and travel agency Fliggy into e-commerce group
Alibaba Group Holding is merging its food delivery platform Ele.me and online travel agency Fliggy into its core e-commerce business, as the Chinese tech giant seeks to streamline operations and sharpen its focus on artificial intelligence (AI). The restructuring “marks a strategic upgrade from an e-commerce platform to a comprehensive consumer platform”, Alibaba CEO Eddie Wu Yongming wrote in a letter to employees on Monday. “Moving forward, we will increasingly optimise our business models and organisational structures from the user’s perspective to create richer, higher-quality consumer experiences.” Alibaba, the business conglomerate founded by billionaire Jack Ma, owns the South China Morning Post. Following the changes, Ele.me CEO Fan Yu and Fliggy CEO Zhuang Zhuoran will report directly to Jiang Fan, who leads Alibaba’s E-commerce Business Group. That division oversees domestic platforms Tmall and Taobao, as well as the company’s international e-commerce operations. The move was designed to drive synergies across Alibaba’s consumer-facing businesses – “sharing unified objectives and fighting as one”, Wu said – reinforcing the e-commerce group’s role as the company’s main profit engine. Ele.me was previously grouped with Alibaba’s mapping service Amap under the Local Services Group, while Fliggy had operated independently. “Ele.me’s merger clearly aims to bridge the gap between instant delivery services for retail goods and food, integrating resources to better compete in the broader instant retail market,” said Hu Yugui, an analyst at Dolphin Research, a secondary market research brand under Longbridge. He added that the synergies from Fliggy’s merger are less clear, requiring a “wait-and-see” approach. Hu noted that escalating competition in instant commerce continues to blur the boundaries between online retail and service platforms. “E-commerce, instant retail, travel and hospitality, as well as offline-to-store businesses, will increasingly merge,” he said. The move also aligns with Alibaba’s recent efforts to refocus resources on its main revenue drivers, which include cloud computing. AI has recently been a top priority at the company amid intensifying competition in China. Alibaba’s push for ecosystem synergy is already showing results, as its recent foray into instant commerce – also known as flash shopping, or shangou in Chinese – intensifies competition in the country’s on-demand delivery sector against rivals JD.com and market leader Meituan. Launched on Taobao in late April, the service offers rapid delivery of a wide range of products, from food and electronics to clothing and flowers, all fulfilled by Ele.me. Daily orders reached 10 million within the first week. The company announced on Monday that daily orders have reached 60 million. Meituan’s daily orders reportedly reached 90 million in recent days, while JD.com’s service hit 25 million daily orders earlier this month. The latest moves underscore Alibaba’s efforts to break down internal silos and foster greater collaboration across business units. In an internal letter to staff in May, CEO Eddie Wu said the company would “mobilise at full strength and concentrate our efforts on a few core strategic priorities”, with “key initiatives driven jointly by multiple businesses”. Alibaba shares fell 1.5 per cent on Monday morning in Hong Kong.
Hong Kong Web3 group issues blueprint for accelerating- prioritizing stablecoins, funds management, VATPs, legal and compliance, and custody and OTC trading
Web3 Harbour and PwC Hong Kong have released the “Hong Kong Web3 Blueprint” to encourage greater investment in blockchain infrastructure development. The blueprint emphasizes the transparency, security, and user empowerment of decentralisation and aims to leverage Web3 superpowers through five key enablers: talent, market infrastructure, standards, regulation, and funding and economic contribution. It calls for participants to focus on open finance, trade finance, capital markets, asset management, and carbon markets. The blueprint comes amid recent regulatory progress, with Hong Kong passing its stablecoin ordinance, which is set to take effect in August. The report also outlines five action groups to focus on important areas of blockchain development, such as stablecoins, funds management, virtual asset trading platforms (VATPs), legal and compliance, and custody and over-the-counter trading. The blueprint does not address other types of cryptocurrencies, but focuses on the broader blockchain ecosystem that plays into the technology’s six identified “superpowers”: user ownership, immutability with transparency, privacy and digital identity, automation, security, and interoperability. It also promotes more public-private partnerships and government support for developing Web3 talent through programs such as accelerators and internships.
Vietnam’s legalisation of crypto assets sparks hopes but tough draft rules trigger industry backlash
When Vietnam took the historic step earlier this month to legally recognise digital assets, crypto entrepreneur Tran Huy Vu saw it as a long-overdue breakthrough and a promising development for local companies eyeing the fast-growing domestic market. But his optimism quickly gave way to concern over a separate set of draft rules for Vietnam’s pilot crypto asset market, which he fears could stifle innovation and create legal uncertainties for businesses like his own, Kyber Network. “Current regulations and draft rules are vague with a very broad scope of restrictions,” Vu, chief executive at Kyber Network, lamented to The Business Times. “For global-facing service providers like us, it remains unclear whether our operations would be considered compliant, or what specific steps would be required to ensure compliance.” Despite its vibrant crypto ecosystem, Vietnam is currently on the intergovernmental watchdog Financial Action Task Force’s grey list due to deficiencies in its frameworks to address money laundering and terrorist financing, including the lack of action to regulate virtual assets and virtual asset service providers. In response, Vietnam’s government has moved decisively over the past two years, most recently by passing a new law that officially regulates a wide range of digital and emerging technologies, including digital assets such as virtual assets and crypto assets; proposing a draft resolution that imposes licensing and requirements for crypto platforms; and issuing a draft decree setting out penalties for violations in the crypto asset space. Under the draft resolution being developed by the finance ministry and expected to be approved this year, Vietnam will allow only centralised service providers to operate – specifically those involved in proprietary trading or acting as intermediaries in the issuance, custody or trading of crypto assets.
Beijing could use Hong Kong as test bed for yuan-linked stablecoins: Morgan Stanley
Morgan Stanley suggests China could use Hong Kong as a sandbox to pilot yuan-pegged stablecoins and expand the international use of its digital currency, leveraging Hong Kong’s new regulatory regime for stablecoins effective August 1 and its large offshore yuan liquidity pool. The appeal of stablecoins lies in enabling faster, cheaper cross-border payments, which could support multinational operations and raise the yuan’s global profile. However, despite Beijing’s rollout of cross-border infrastructure, the yuan’s share of global reserves fell from 2.8% in 2022 to 2.2% in 2024 amid economic concerns like debt, deflation, and demographic challenges. Morgan Stanley stresses that for the yuan to gain traction internationally, China must pursue structural reforms including debt restructuring, tax reform, and pro-growth regulation. While China once banned crypto transactions, it is now exploring technologies like blockchain and stablecoins to modernise its payment systems. Backed by Beijing, Hong Kong is pushing to become a stablecoin hub, with its sandbox—launched in March 2024—allowing firms like JD.com’s fintech arm to test yuan-pegged stablecoins and related technologies under regulatory oversight.
Freddie Mac’s integration of AutomatIQ’s solution to streamline documentation for lenders by transmitting pay stub and W-2 data directly via API and offer enhanced income analysis
Freddie Mac and AutomatIQ have partnered to streamline mortgage processing by utilizing the AutomatIQ Borrower Income Analysis solution. This reduces manual data entry and errors, improving operational efficiency and loan underwriting. The collaboration aims to create a transparent, efficient lending environment, fostering trust and satisfaction among borrowers, while ensuring compliance with underwriting standards. Key Points: integration with Freddie Mac: Enables lenders to utilize AutomatIQ’s solution for income analysis. Efficiency Enhancements: Streamlines documentation by transmitting pay stub and W-2 data directly. Reduction of Errors: Minimizes manual entry, leading to fewer data inaccuracies. Accelerated Underwriting Process: Offers borrowers a faster and more reliable loan experience. Technological Advancement: Represents a significant move towards improved data interoperability in the mortgage industry.