Worldpay has launched the Embedded Finance Engine, a new suite of best-in-class financial service products that its software platform partners can quickly integrate to drive higher retention and revenue growth while streamlining their tech stacks and ecosystems. Worldpay’s Embedded Finance Engine is available to partners integrated with Worldpay for Platforms and includes embedded lending, banking and commercial card issuing products with plans to expand capabilities rapidly over the coming months. Worldpay’s pre-built embedded finance components make it fast and easy for software platforms to deliver market-leading financial services directly from their business management applications. With a simple, single integration, Worldpay’s innovative Embedded Finance Engine — featuring modern programming architecture and configurable widgets — delivers embedded financial services that are ready to launch out of the box, without requiring major investment or additional resources. Worldpay’s Embedded Finance Engine significantly reduces the compliance and fraud risk burden for software platforms, allowing them to focus on their core business. By handling regulatory requirements and risk management, Worldpay eliminates the need for additional operating expenses typically required to launch and maintain new financial offerings. As new services become available, platforms can activate them seamlessly — without incurring extra costs or dedicating resources to ongoing compliance and fraud prevention.
Visa announces general availability of VCS Hub; offering an end-to-end embedded payables solution, enabling full invoice and supplier payments, while also supporting flexible ad hoc payments
Visa announced the general availability of the Visa Commercial Solutions (VCS) Hub, a breakthrough platform that redefines the future of commercial payments for issuers and fintechs worldwide. The VCS Hub represents a transformational leap forward, engineered to deliver a smarter, more seamless experience for all users. As expansion continues, the VCS Hub will also incorporate next-generation AI capabilities, ultimately offering issuers the ability to unlock a unified, intelligent platform that turns complexity into simplicity. Following a successful pilot, the VCS Hub is now available broadly, enabling issuers and fintechs to deliver powerful commercial payment and embedded finance experiences, turbocharged by automation and seamless integration. For existing users, the platform offers an end-to-end payables solution, enabling full invoice and supplier payments, while also supporting flexible ad hoc payments to efficiently manage business needs. For embedded payments, seamless integration into accounting solutions is a core capability, making it easier and more secure for organizations to manage payments and focus on other essential business priorities. The VCS Hub will continue to expand and be enhanced with additional commercial payment solutions and capabilities. GenAI will be at the core of that, transforming how business gets done. Key enhancements include: AI-Powered Payables: Automate accounts payable with GenAI-driven workflows that anticipate business needs, optimize cash flow and reduce manual bottlenecks. Embedded Payments: Integrate payment capabilities into business applications—accounting, ERP or custom workflows—using Visa’s open APIs and intelligent orchestration. Reporting and Insights: Harness advanced analytics and GenAI to surface actionable insights, predict trends and empower smarter business decisions in real time. Personalized Experiences: User experiences can be tailored by AI, delivering recommendations, alerts and next steps that drive growth and efficiency.
GoDaddy creates trusted identity naming system for AI agents- issues a report on each enrolled agent: verifying its identity, confirming good standing and specifying its location
GoDaddy is launching a trusted identity naming system for AI agents. This system is based on proven technologies and protocols, making it easy to find and trust agents that are legitimate. It builds on the company’s decades of leadership and experience in helping keep the internet safe with domain names, the Domain Name System (DNS) and Secure Sockets Layer (SSL) certificates. The service is engineered to work across protocols via a modular adapter layer and draws on concepts documented in an Internet Engineering Task Force (IETF) draft for an Agent Name Service (ANS). The system issues a report on each enrolled agent: verifying its identity, confirming good standing and specifying its location. Discovery through domains and DNS: Human-readable names map to agent endpoints and metadata. Verifiable identity with X.509: Agent operators enroll, renew and manage certificates issued by trusted authorities, enabling cryptographic verification using the public key infrastructure (PKI). Protocol-agnostic adapters: An open layer translates agent records into the formats used by popular agent frameworks, preventing lock-in. Lifecycle management: Registration, renewal and revocation flows provide security and governance for production deployments. The design draws on work from the IETF on an agent name service, a universal, DNS-inspired directory, that pairs discovery with PKI-backed verification and a protocol-agnostic adapter layer. GoDaddy is driving collaboration with standards bodies and industry partners to ensure broad participation and seamless interoperability.
Google is tightening control over Android, introducing developer verification to enhance security and reduce risks from malicious apps
Google is tightening control over Android, introducing developer verification to enhance security and reduce risks from malicious apps. This is “absolutely not” blocking sideloading, Google insists. But it’s clear that hurdles for developers offering apps outside Play Store to certified Android phones are high. Android’s hardcore user base is not impressed with the move. But Google has little choice. Sideloading is high-risk and Android’s multi-billion user base is in the crosshairs. Google will demand payment from developers to cover the cost of their own verification, which will also likely require government ID. None of which seems very “Android.” What’s unclear is whether future hurdles might be added before sideloaded apps get onto phones. Malware and permission abuse scans would seem logical follow-ons. There’s a bigger threat to around 750 million users and their devices and data. Around 25% of all Android phones globally run Android 12 or older. None of these phones are eligible for security updates. Google is clamping down on these phones as well. The Play Integrity API which helps lock down apps on phones has been revamped for 2025. Developers now differentiate between phones running Android 12 or older and the rest. This can restrict how banking and other sensitive apps operate on your device, locking down functionality.
Google DeepMind unveils CodeMender, an AI agent that autonomously patches software vulnerabilities and validates whether proposed changes preserve functionality
Alphabet Inc.’s Google DeepMind lab shared results for CodeMender, an AI-powered agent that automatically detects, patches and rewrites vulnerable code to prevent future exploits. The aim is to debug and repair complex security flaws autonomously across massive codebases. While still only in a research phase, CodeMender has already submitted 72 security fixes to open-source projects, including those spanning more than 4.5 million lines of code. According to DeepMind, CodeMender’s AI-powered agent helps developers and maintainers focus on what they do best — building good software — by automatically creating and applying high-quality security patches. CodeMender is designed to be both reactive and proactive by instantly patching discovered vulnerabilities and also rewriting existing code to eliminate entire classes of flaws. In one example, the agent applied “-fbounds-safety” annotations to the libwebp image compression library, the same library exploited in a 2023 zero-click iOS attack. In doing so, it rendered similar buffer overflow vulnerabilities “unexploitable forever,” according to DeepMind researchers. Under the hood, CodeMender uses a suite of tools including static and dynamic analysis, fuzzing, symbolic reasoning and an “LLM judge” that validates whether proposed changes preserve functionality. The system can self-correct automatically before surfacing its final patch for human review when the validation detects an issue and all changes are verified for correctness, adherence to style guidelines and lack of regressions before submission.
LiveOak Bank implements Infinant’s cloud-native platform to scale embedded finance across vertical SaaS partners; maintaining bank-controlled ledger and regulatory compliance.
Infinant announced that Live Oak Bank , a trailblazer in financial technology and innovation focused on small business, is implementing its embedded finance solution to deliver an elevated standard for managing partner programs on a bank-grade ledgering platform to meet regulatory and compliance demands. Infinant provides a cloud-based platform, Interlace, for banks to launch and scale their digital and embedded programs, as a complement to their existing core banking system, allowing the bank to maintain complete control of the ledger, operations, and compliance. The partnership provides Live Oak Bank the ability to scale its existing embedded finance program and expand into new verticals. The result is a collaboration where customers will receive best-in-class banking services conveniently embedded in the software they use the most. Live Oak Bank offers a leading embedded finance channel, focusing on enabling vertical-specific software companies to deliver Live Oak banking products and services directly to customers. ” Partnering with Infinant and utilizing Live Oak’s real-time core processor accelerates our embedded banking strategy ,” said Live Oak Chief Banking Officer Mark Moroz . ” Infinant’s platform gives us the ability to embed a robust suite of banking products, including deposits, payments, and loans, directly into the software of our vertical SaaS partners .”
NoviSign launches AI-powered audience responsive signage with Sony camera integration detecting age, gender, and sentiment; then personalizing content dynamically without custom coding via MCP
NoviSign Digital Signage, announced a new set of AI-powered capabilities including integrations with the Model Context Protocol (MCP) and the Sony AITRIOS camera system, alongside NoviSign’s built-in AI Content Generator. With NoviSign’s native MCP integration, any business can now connect their screens directly to AI platforms such as ChatGPT and prediction models — without custom coding! MCP acts as the bridge between AI and digital signage, enabling real-time workflows such as: Dynamic updates driven by live data feeds; Smarter workflows to automate playlists, trigger real-time updates, and personalize content by location or audience; Vendor freedom to use the AI provider that best fits business needs; Future-ready signage that stays prepared for the next wave of AI innovation. In partnership with Sony, NoviSign has integrated the Sony AITRIOS camera system into its platform. This camera enables real-time audience detection, allowing screens to adjust instantly based on who is standing in front of them. The system can recognize age, gender, group size, sentiment, clothing colors, and even apparel details. With this capability, screens can deliver tailored promotions for individuals — such as targeted offers for men or women — while shifting to broader campaigns like seasonal specials or group deals when multiple people are detected. This transforms traditional signage into audience-responsive digital displays, delivering the right message at the right time and driving higher engagement and ROI. NoviSign’s AI Content Generator makes content creation simple. Users can quickly produce professional visuals and text, keeping screens fresh and up to date. It’s easy to use, saves time, and helps businesses respond faster to new promotions or events without needing design skills.
Lendflow’s modular embedded credit infrastructure beats J.P. Morgan Payments and Marqeta for deploying voice AI, chatbot, and document analyzer agents supporting complete lending lifecycle
Lendflow has been recognized as the Best Overall Embedded Finance Platform in Tearsheet’s Big Bank Theory Awards, which celebrate innovation in banking and embedded finance. The awards honor companies that advance financial services, with Lendflow distinguished for its versatile embedded credit infrastructure linking over 75 capital partners through a neutral intermediary. Its approach includes three pillars: Connect (embedded finance network), Intelligence (workflow optimization), and Automate (AI-powered workforce optimization), which help partners minimize operational resources and expedite funding processes. Zack Miller, Tearsheet’s Founder and Editor in Chief, emphasized Lendflow’s AI-driven technology as a significant advancement, facilitating precise, swift, and scalable connections between lenders and brands. Lendflow facilitates over $1 billion in offers annually through its modular architecture, allowing for both individual component usage and comprehensive scaling, aided by 50+ AI agents that automate various lending processes. CEO Jon Fry expressed gratitude for the recognition, highlighting Lendflow’s mission to enhance the lending experience and increase access to capital for small businesses. Other notable award winners this year included Alkami, Brim Financial, Citizens’ Open Banking API, Climate First Bank, Cross River, Extend, Fruitful, Kikoff, Lumin Digital, Personetics, and US Bank Business Essentials. Previous winners of the Best Overall Embedded Finance Platform award comprised J.P. Morgan Payments and Marqeta.
Checkout.com launches Flow Remember Me, a one-click solution that allows shoppers to save their card details once and then have them immediately available for use across Checkout.com
Checkout.com announced a series of innovations across its product suite. Chief Product Officer Meron Colbeci announced the global launch of Flow Remember Me, an extension of Flow that allows shoppers to save their card details once and then have them immediately available for use across Checkout.com’s global network of merchants. By eliminating the need to re-enter information, Flow Remember Me makes transactions faster and more likely to convert. Early adopters experienced 22% fewer authentication challenges, 30% less timeouts, and a 70% reduction in checkout time. Merchants who combine Flow and Remember Me have also seen up to a 7% uplift in acceptance rates. Flow offers customisable, ready-to-deploy payment components through a single integration with Checkout.com’s global network. Merchants can enable over 35 payment methods through configuration and no engineering cycles, which simplifies entry into new markets. Flow is helping merchants boost conversions and ease compliance by adapting payment options to location and device. Checkout.com made several other announcements across its product suite, including an expanding acquiring footprint, improved merchant insights, new issuing capabilities, and agentic partnerships.
Google’s Gemini 2.5 Computer Use model enables AI agents to interact with browser user interfaces through 13 supported UI actions including clicking, typing, scrolling, cursor hovering, etc
Google LLC has just announced a new version of its Gemini large language model that can navigate the web through a browser and interact with various websites, meaning it can perform tasks such as searching for information or buying things without human supervision. The model, Gemini 2.5 Computer Use, uses a combination of visual understanding and reasoning to analyze user’s requests and carry out tasks in the browser. It will complete all of the actions required to fulfill that task, such as clicking, typing, scrolling, manipulating dropdown menus and filling out and submitting forms, just as a human can do. Google’s DeepMind research outfit said Gemini 2.5 Computer Use is based on the Gemini 2.5 Pro LLM. It explained that earlier versions of the model have been used to power earlier agentic features it has launched in tools such as AI Mode and Project Mariner. But this is the first time the complete model has been made available. The company explained that each request kicks off a “loop” that involves the model go through various steps until it’s considered complete. First, the user sends a request to the model, which can also include screenshots of the website in question and a history of recent actions. Then, Gemini 2.5 Computer Use will analyze those inputs and generate a response, which will typically be a “function call representing one of the UI actions such as clicking or typing.” Client-side code will then execute the required action, and after this is done, a new screenshot of the graphical user interface and the current website will be sent back to the model as a function response.