Elavon and Jscrambler have partnered to help merchants comply with PCI DSS requirements 6.4.3 and 11.6.1. Through this agreement, Elavon’s network of more than 400 merchants can leverage Jscrambler’s Client-Side Protection and Compliance Platform to safeguard their business from escalating web skimming attacks. Using Jscrambler’s Client-Side Protection and Compliance Platform and PCI DSS solution, merchants can meet PCI DSS requirements while preventing web skimming attacks, securing payment pages, and maintaining compliance efficiently. Now, through this collaboration, the two companies combine Elavon’s extensive experience as a global leader in payment processing with Jscrambler’s innovative technologies to address the critical need for robust payment security. Jscrambler’s PCI DSS solution delivers the following capabilities: Script Management: Auto-discovers and authorizes payment page scripts, reducing manual approvals by grouping vendor behaviors. Skimming Prevention: Blocks unauthorized data access in real-time, protecting against web skimming and formjacking. Tamper Detection: Monitors HTTP headers and page content, alerting on unauthorized changes via email, SIEM, or Slack. Hybrid Architecture: Supports agentless and agent-based deployment for flexibility, enabling rapid compliance for complex or acquired payment pages. PCI DSS Expertise: Provides direct access to former PCI Security Standards Council members and a strong bench of PCI DSS experts. QSA Alliance Program: Provides access to enablement sessions, assessor forums, and inventory reports to streamline audits. Andrew McCarroll, PCIP Customer Payment Security Executive, Elavon said “By partnering with Jscrambler, Elavon is offering merchants easy access to Jscrambler’s PCI DSS solution.”
Balance’s new RTP-powered Instant Bank Connection allows buyers to link their accounts using only routing and account numbers
Balance, the financial infrastructure platform for B2B commerce, launched Instant Bank Connection, a new capability powered by Real-Time Payment (RTP) rails that simplifies ACH setup for buyers and speeds up payments to merchants—improving cash flow and reducing processing costs. Balance’s new RTP-powered Instant Bank Connection capability allows buyers to link their accounts using only routing and account numbers. This real-time verification streamlines the buyer experience while giving merchants immediate payment confirmation, faster payouts, improved cash flow, and the ability to release goods sooner with confidence—accelerating fulfillment and strengthening customer relationships. Balance’s RTP-powered bank connection is more than just a faster onboarding method—it’s a strategic lever for B2B merchants looking to scale with efficiency. By making ACH payments as seamless as cards, merchants can unlock significantly lower processing costs. By combining RTP-powered bank verification with AI-powered credit management, billing, collections, and cash application, Balance empowers merchants to reduce overhead, improve cash flow, and scale with confidence. Bar Geron, CEO and Co-founder of Balance said “With RTP-enabled ACH payments, they can reduce costs and accelerate access to funds—all while giving buyers a smooth, payment experience.”
OCC clarifies banks may buy and sell assets crypto-assets; can also outsource custody to third parties
The OCC has clarified that institutions under its oversight can now buy and sell crypto assets on behalf of their customers. In addition, the OCC stated that national banks may outsource crypto-asset services to third parties, including custody and trade execution, provided those third parties maintain sound risk management practices. The latest OCC letter follows a similar directive issued in March, which rescinded the 2021 policy requiring banks to seek prior supervisory approval before engaging in crypto-related services. “The services national banks may provide in relation to the cryptocurrency they are custodying may include services such as facilitating the customer’s cryptocurrency and fiat currency exchange transactions, transaction settlement, trade execution, recordkeeping, valuation, tax services, reporting, or other appropriate services,” the March letter stated. It further clarified: “A bank acting as custodian may engage a sub-custodian for cryptocurrency it holds on behalf of customers and should develop processes to ensure that the sub-custodian’s operations have proper internal controls to protect the customer’s cryptocurrency.”
Meanwhile, the Federal Reserve recently dropped its supervisory guidelines that previously required American banks to notify it in advance of any crypto-asset activities. Banks are also no longer required to obtain formal approval from the Fed before engaging in stablecoin-related operations. The decisions by both US regulators reflect the broader shift toward more crypto-friendly policies under the Trump administration.
ServiceNow’s new AI Control Tower lets AI systems administrators and other AI stakeholders monitor and manage every AI agent, model or workflow in their system
ServiceNow’s new AI Control Tower, offers a holistic view of the entire AI ecosystem. AI Control Tower acts as a “command center” to help enterprise customers govern and manage all their AI workflows, including agents and models. The AI Control Tower lets AI systems administrators and other AI stakeholders monitor and manage every AI agent, model or workflow in their system — even third-party agents. It also provides end-to-end lifecycle management, real-time reporting for different metrics, and embedded compliance and AI governance. The idea around AI Control Tower is to give users a central location to see where all of the AI in the enterprise is. “I can go to a single place to see all the AI systems, how many were onboarded or are currently deployed, which ones are an AI agent or classic machine learning,” said Dorit Zilbershot, ServiceNow’s Group Vice President of AI Experiences and Innovation. “I could be managing these in a single place, making sure that I have full governance and understanding of what’s going on across my enterprise.” She added that the platform helps users “really drill down to understand the different systems by the provider and by type,” to understand risk and compliance better. The company’s agent library allows customers to choose the agent that best fits their workflows, and it has built-in orchestration features to help manage agent actions. ServiceNow also unveiled its AI Agent Fabric, a way for its agent to communicate with other agents or tools. Zilbershot said ServiceNow will still support other protocols and will continue working with other companies to develop standards for agentic communication.
Gyan is an alternative AI architecture built on a neuro-symbolic architecture, not transformer based, to create hallucination-free models by design
Gyan is a fundamentally new AI architecture built for Enterprises with low or zero tolerance for hallucinations, IP risks, or energy-hungry models. Gyan gives businesses full control over their data, keeping it private and secure — making it the trusted partner for enterprises in situations where reliability and accuracy are mandatory. Unlike with LLM’s, with Gyan, businesses can use an AI model without worrying about it making things up. Built on a neuro-symbolic architecture, not transformer based, Gyan is a ground-up hallucination-free model by design. “If the cost of a mistake is high, you certainly don’t want your AI causing it,” says Joy Dasgupta, CEO, at Gyan. “We built Gyan for companies and processes with zero tolerance for hallucination and privacy risks, with compute and energy requirements orders of magnitude lower than that of current LLM’s.” Gyan’s State of the Art performance in two key life sciences benchmarks (PubMedQA and MMLU) is proof of efficacy of its language model. Every inference by Gyan is traceable with full reasoning to exact ideas and arguments in the result, making them readily verifiable. This is not the case for any of the others on the Leaderboard. Gyan provides precise and accurate analysis which users can depend on.
Google Desktop Chrome is using the on-device Gemini Nano model to provide instant insight on risky websites and an additional layer of defense against undetected scams
Google published a report about how it’s using the latest AI approaches to combat spam across Search, Chrome (with Gemini Nano for Enhanced Protection), and Android. Google Search credits AI-powered scam detection systems as currently helping detect and block “hundreds of millions of scammy results every day.” The company notes how it can now “analyze vast quantities of text and identify subtle linguistic patterns and thematic connections that might indicate coordinated scam campaigns or emerging fraudulent narratives.” In addition to the “Standard Protection” warnings when you come across a nefarious site, Safe Browsing offers an optional “Enhanced Protection” mode against phishing and other scams. Desktop Chrome is now using the on-device Gemini Nano model to “provide Enhanced Protection users with an additional layer of defense against online scams.” The LLM “provides instant insight on risky websites and allows us to offer protection, even against scams that haven’t been seen before.” Google is already using this to “protect users from remote tech support scams,” with plans to cover more types and bringing to the Android browser in the future. Meanwhile, Chrome for Android will use an on-device machine learning model that flags “malicious, spammy or misleading notifications” and labels them as “Possible scam.” Users can “Show notification” or “Unsubscribe.”
Amazon’s newest AI tool is designed to help merchants improve their listings automatically suggesting product titles, attributes, descriptions, and missing details
Amazon said Thursday it is releasing a new generative AI-powered tool to help merchants improve their listings with missing details or attributes. Sellers often have hundreds of products listed on Amazon, and they need to update information related to them from time to time, which can be a cumbersome task. The e-commerce tech giant wants sellers to use its new AI-powered tool, called Enhance My Listing, to make the chore easier. The tool automatically suggests product titles, attributes, descriptions, and missing details to sellers based on seasonal trends. Sellers can accept, reject, or modify these suggestions before updating the product listing in Amazon’s catalog. Amazon said it uses its own Amazon Bedrock service for generative AI models to get insights from customer engagement on the platform. Enhance My Listing is rolling out to select sellers in the U.S. starting today, with an expanded rollout scheduled for the coming weeks. The company introduced generative AI tools for sellers starting in 2023 with a feature that helped them write product descriptions. In March 2024, Amazon added a tool that allowed sellers to create a listing by inserting a product URL from their websites. That feature also lets sellers upload a single image or write a few words to generate a listing. Amazon said that over 900,000 sellers have used its generative AI tools to date. The company added that over 90% of the time merchants accept AI-generated content without any edits.
Stripe’s services can now natively run on Verifone payment devices, to support commerce use cases such as self-service checkout and tableside ordering
Through this partnership, Stripe services will natively run on Verifone payment devices, offering Stripe customers even more flexibility and choice in deploying durable and performant in-person payments. Merchants can now support commerce use cases such as self-service checkout and tableside ordering by leveraging Verifone’s payment devices with Stripe Terminal, an in-person payments solution. Verifone and Stripe support digital wallets, QR codes on-reader, digital or printed receipts, and interactive screens for tipping, loyalty programs, customer signatures, and more. Stripe customers can choose from a broad range of Verifone devices—from multilane to handheld readers with built-in printers—designed to meet the needs of any in-person commerce experience. With powerful device management tools and dedicated support from Stripe and Verifone, merchants can confidently manage and scale their in-person payments with ease.
Coinbase’s x402 protocol to enable AI agents to pay for digital items automatically with stablecoins, allowing direct transactions from holder to merchant without intermediaries
Crypto exchange Coinbase has unveiled the x402 protocol to automate online payments with stablecoins, allowing direct transactions from holder to merchant without intermediaries. The protocol will be particularly useful for AI agents to pay for digital items automatically, but can serve any service requiring micropayments – essentially functioning as the online version of automated toll payments. Applications could include API usage, online content, flights, or computer resources. While designed for direct payments, various intermediaries will likely emerge to simplify the process for merchants. The key is that there is no need for an intermediary. The stablecoin payment goes directly from the holder to the merchant. That said, any number of intermediaries will pop up to make it easier for merchants. When browsing the web, if we come across a missing web page it often shows a 404 error. An error code that we never see is the 402 error, which says there’s a paywall and you need to make a payment. Coinbase is using this to build a protocol for payments to make it as seamless as sending a tweet. “We built x402 because the internet has always needed a native way to send and receive payments—and stablecoins finally make that possible,” said Erik Reppel, Head of Engineering at Coinbase Developer Platform. “Just like HTTPS secured the web, x402 could define the next era of the internet; one where value moves as freely and instantly as information. We’re laying the groundwork for an economy run not just by people, but by software—autonomous, intelligent, and always on.”
CodeAnt AI’s platform plugs into developer platforms, reviews the code, gives instant feedback across 30+ programming languages and suggests fixes that developers can apply with a single click
AI might be great at helping engineers write code, but it’s creating a new problem – all that code still needs to be reviewed by humans. CodeAnt AI is stepping in with a solution that uses AI to tackle the review process itself. CodeAnt AI’s platform plugs right into GitHub, GitLab, Bitbucket, and Azure DevOps, giving developers instant feedback on their code across more than 30 programming languages. More impressively, it doesn’t just find problems – it suggests fixes that developers can apply with a single click, turning reviews that used to take hours into proactive quick, five-minute sessions. For companies racing to get products out the door, this means fewer delays and higher quality code. It also means cost savings – fixing problems during code reviews costs 10x less compared to fixing them later during CI/CD or after production deployments. What makes CodeAnt AI different is the technology under the hood. The company built a proprietary language-agnostic AST engine that actually understands how different parts of a codebase connect, letting it spot issues that isolated code reviews would miss. The platform also pulls in data from major security databases and lets companies set up their own rules based on their specific needs. For security-conscious organizations, CodeAnt AI can run entirely within their own infrastructure, ensuring code never leaves their environment. It’s proven to help enterprises reduce manual code review time by over 50%.