Lovart, a bold AI design and branding Agent, has officially launched its long-awaited generative design platform, exiting Beta with a bold mission: to generate six figure or higher branding and advertising campaigns using nothing more than a single text prompt. Under the hood, Lovart is powered by its proprietary creative reasoning engine, MCoT (Mind Chain of Thought). Going as far as assessing and analyzing the brand’s requirements, business context, and the target audience, its output is on par with top-tier Creative Directors and professional-grade visual assets. With just a simple text prompt or a reference image, users can generate up to 40 high-fidelity, premium assets in only minutes. From branding kits, social posts and storyboards to UI flows and even packaging, Lovart delivers a breadth of output rarely seen in a single platform. But what truly sets it apart is its creative intelligence – the first of its kind to infuse visual outputs with an unexpected, witty, and human-like flair. The Features Redefining Creative Work: ChatCanvas – Lovart’s “ChatCanvas” is an infinite, intelligent canvas that responds to intent through shared visual and dialogue. It is built for true creative collaboration between humans and AI. Multi-agent Co-Creation – Autonomous Design Intelligenc; . Long-Term Recall – . Learns and Predicts Workflow Habits – Advanced Canvas Editing –Top AI Models Under One Roof – As a full-spectrum creative suite, Lovart also supports cross-modal generation across image, video, and audio. Lovart supports top AI models including GPT Image-1, Flux Kontext, VEO3, OpenAI-o3, Gemini Imagen, Kling AI, Hailuo, Tripo AI, Recraft v3, Runway Gen-4, Ideogram 3.0, Rodin, and more.
Walmart launching ‘super agents’ to help customers through their shopping trips beyond offering product recommendations to do things like reorder items, plan events and using computer vision offer recipe ideas by looking inside a customer’s refrigerator
Walmart is launching a line of “super agents” designed to help customers and workers. These new tools, powered by agentic AI, will soon be the chief way people interact with Walmart. “Agents can help automate and simplify pretty much everything that we do,” Walmart Chief Technology Officer Suresh Kumar said, adding the company decided to debut the agents now because “customers are ready, they are using AI in pretty much everything they do.” The agents will serve as an entry point for every action customers, workers, sellers and suppliers have with the company, replacing a number of existing AI tools. Walmart is counting on AI to fuel its online growth as it aims for eCommerce to make up half of its sales within five years. In June, the company debuted “Sparky,” an AI assistant designed to customers through their shopping trips with product recommendations and budget suggestions based on past behavior. The “super agent” version of Sparky will be able to do things like reorder items, plan events and — using computer vision — offer recipe ideas by looking inside a customer’s refrigerator. Also in the works is an “Associate” super-agent to let workers do things like submit applications for parental leave or let merchants access sales data. There’s also “Marty,” an agent designed for sellers, suppliers and advertisers, and one for developers to build future AI tools.
StarTree to employ Apache Iceberg as the analytic layer on top of its data lakehouse to enable querying Iceberg directly with subsecond latency, without the need for intermediate pipelines, duplicate storage and external databases for real-time applications
StarTree Inc., which sells a real-time analytics platform and cloud service based on the Apache Pinot open-source online analytical processing database, becomes the latest data analytics provider to announce full support for Apache Iceberg. The StarTree Cloud managed service will employ Iceberg as the analytic and serving layer on top of its data lakehouse. The move creates new use cases for Iceberg in real-time applications requiring high concurrency across thousands of simultaneous users. In particular, it enables Iceberg to be more easily applied to customer-facing scenarios where organizations want to expose data externally without relying on complex, multi-step pipelines. Iceberg is a management layer that sits atop data files in cloud storage to improve consistency, manageability and query performance. It has been rapidly gaining acceptance as a de facto table standard, replacing an assortment of proprietary alternatives. StarTree enables direct querying of Iceberg tables without the need to move or transform the underlying data. The integration supports open formats and leverages performance-enhancing features, including Pinot indexing and materialization, local caching and intelligent prefetching. StarTree enables various indexes and pre-aggregated materializations to be defined directly on Iceberg tables. Indexes for numerical data, text, JavaScript Object Notation, geospatial data and other types can be distributed locally on compute nodes or stored in object storage. Chief Marketing Officer Chad Meley said “By querying Iceberg directly with subsecond latency, we’re eliminating the need for intermediate pipelines, duplicate storage and external databases.”
Zelle® and Consumer Action launch multi-city financial education initiative to empower underserved communities and an interactive workshop on how to prevent fraud and scams
The Zelle network launched a new multi-city financial education training roadshow in partnership with Consumer Action, a national non-profit dedicated to consumer protection and financial empowerment for more than 50 years. The multi-city effort kicked off with an inaugural “train-the-trainer” event in New York City on July 22, aimed at increasing awareness and understanding of how fraud and scams are evolving. The New York event featured: An interactive workshop on how to prevent fraud and scams and financial education; A presentation from the Federal Trade Commission; and Opportunities for participants to ask questions and share experiences. Additional workshops will take place in Los Angeles on September 25 and Phoenix on November 6. Zelle and Consumer Action will work closely with local organizations to tailor each event to the unique needs of its community.
Intruder Solutions’ free, open-source tool detects broken API authorization vulnerabilities by scanning OpenAPI-documented APIs and parsing the documentation to generate a comprehensive list of endpoints for testing
Attack surface management company Intruder Solutions Ltd. has launched AutoSwagger, a free, open-source tool that scans OpenAPI-documented application programming interfaces for broken authorization vulnerabilities. The tool aims to address the growing issue of API-related data breaches, which are up nearly 40% year-over-year. AutoSwagger is the first freely available tool proven effective in detecting dangerous API vulnerabilities. The tool works by identifying API schemas across various formats and locations, searching for OpenAPI and Swagger documentation pages, and parsing the documentation to generate a comprehensive list of endpoints for testing. It then undertakes targeted scans to detect broken authorization vulnerabilities, flags endpoints that return a successful response instead of HTTP 401 or 403 errors, and highlights endpoints where authentication is missing or ineffective. AutoSwagger analyzes any successful responses for signs of exposed sensitive data, such as personally identifiable information, credentials, or internal records.
AI CERTs 40-hour certification program provides professionals with practical skills at the intersection of AI and cybersecurity and covers Python-based security automation, AI-powered threat detection, and real-time cyberattack prevention through predictive analytics
AI CERTs® has launched its AI+ Security Level 1™ program, providing professionals with practical skills at the intersection of AI and cybersecurity. The 40-hour program, designed for modern security professionals, covers Python-based security automation, AI-powered threat detection, and real-time cyberattack prevention through predictive analytics. It covers advanced domains like machine learning in cybersecurity, AI-based authentication, and Generative Adversarial Networks (GANs), giving professionals a competitive edge in next-gen security ecosystems. The program includes 11 in-depth modules and a capstone project, ensuring operational agility in live environments. The course requires no prerequisites but a foundational understanding of Python, basic networking, cybersecurity concepts, and machine learning. The certification is ideal for security analysts, engineers, system administrators, and professionals transitioning into cybersecurity roles. It is now available globally through AI CERTs® and its Authorized Training Partners.
After initial adoption of tokenization centered on bringing legacy financial assets onto modern digital rails, the focus moves to unlocking new financial products and global participation
Real-world asset (RWA) tokenization is gaining momentum as a promising innovation on Wall Street. The US GENIUS Act, which establishes a regulatory framework for the $260 billion stablecoin market, is expected to accelerate growth in the sector. The legislation, signed into law by US President Donald Trump, is a strong signal that Congress is ready to support responsible blockchain innovation. Stablecoins, often excluded from RWA industry metrics, are backed by government bonds and other tangible assets, making them a key on-ramp for tokenization’s future growth. A favorable regulatory environment in the US will be a major catalyst for the continued evolution and adoption of tokenized assets. To date, much of the growth in tokenized assets has been concentrated in private credit and US Treasury debt. The initial adoption of tokenization has been centered on bringing legacy financial assets onto modern digital rails, with treasuries and private credit being perfect starting points. As the financial infrastructure matures, it will focus on unlocking new financial products and global participation. Aptos Labs is emerging as a hub for RWA activity, with the value of tokenized RWAs on the Aptos blockchain exceeding $540 million in late June.
Proton’s AI assistant uses zero-access encryption and keeps no logs of conversations, has end-to-end encryption for storing chats, offers a ghost mode for conversations and doesn’t require the user to have an account to use the chatbot
Privacy-focused productivity tools maker Proton released its AI assistant, called Lumo, which keeps no logs of conversations, has end-to-end encryption for storing chats, and offers a ghost mode for conversations that disappear as soon as you close the window. Lumo doesn’t require you to have an account to use the chatbot and ask questions. You can upload files to have the chatbot answer questions about them, and if you have a Proton Drive account, you can connect it with Lumo to access files stored in the cloud. While the chatbot has access to the web, it might not find you the latest results if you use it to search. Lumo is based on open source models, and will only depend on them for research and development going forward without utilizing user data to train its models. Lumo relies on zero-access encryption, an encryption method that other Proton products also use, to let users store their conversation history, which can be decrypted on the device. “Lumo is based upon open-source language models and operates from Proton’s European datacenters. This gives you much greater transparency into the way Lumo works than any other major AI assistant. Unlike Apple Intelligence and others, Lumo is not a partnership with OpenAI or other American or Chinese AI companies, and your queries are never sent to any third parties,” Proton said.
Amex GBT’s guest T&E solution features AI-based tools for receipt scanning and expense justification and allows managers to create travel events, send guest invites, generate travel rules, and monitor real-time expense activity from within the portal
American Express Global Business Travel (Amex GBT) has launched a new solution to manage travel and expenses for non-employees. The platform, known as the Guest T&E, aims to provide an efficient and organized solution for guest travel and reimbursement. The platform allows travelers to build their own travel profile and self-manage bookings through Amex GBT’s business travel marketplace. It also simplifies payment and budget management by allowing companies to create virtual cards based on predefined budgets. The platform features AI-based tools for receipt scanning and intelligent expense justification, automating the data inputting process and facilitating quicker expense approvals. It empowers managers and event coordinators by allowing them to create travel events, send guest invites, generate travel rules, and monitor real-time expense activity from within the portal. The platform is focused on experience, efficiency, and first impressions, ensuring both travelers and organizers benefit from a polished, secure, and efficient experience. 24/7 travel support is built into the platform, providing a safety net for those new to business travel or unfamiliar surroundings. Currently available on Amex GBT’s Neo and Egencia platforms, the platform is part of Amex GBT’s broader strategy to digitize and modernize the business travel experience. As customer demands and additional features are added, the platform may be expanded internationally. As non-employees continue to make up a larger share of the workforce, Amex GBT’s Guest T&E platform addresses this issue with an easy-to-use interface and enterprise level control and automation. The platform highlights Amex GBT’s focus on innovation, streamlining, and user happiness, offering a professional travel experience for every guest without the headache and risk of full compliance costs.
Trovata acquires ATOM to bolster treasury management offering with debt and investment instruments, intercompany transactions, in-house bank support, credit facilities, FX hedging, full domestic and international payment workflow, bank fee analysis and bank account management
Trovata announced its acquisition of ATOM, the enterprise Treasury Management System (TMS) developed by Financial Sciences Corporation. This move marks a bold step forward in Trovata’s mission to modernize and democratize treasury technology, unlocking the full capabilities required to serve large global enterprises. With ATOM’s deep treasury feature set—including support for debt and investment instruments, intercompany transactions, in-house bank support, credit facilities, FX hedging, full domestic and international payment workflow, bank fee analysis and bank account management—fully integrated into Trovata’s cloud-native platform, Trovata becomes the first modern, viable TMS alternative to the legacy incumbents. The combined offering delivers unprecedented scale, flexibility, and performance for corporate finance and treasury teams seeking to modernize. Brett Turner, Founder and CEO of Trovata said, “With ATOM, we have the firepower to compete directly with the legacy incumbents—and replace them. This isn’t just expansion. It’s a generational shift in treasury tech.”