Press Release
PayYoda analyzing the Blockchain payment characteristics and putting forward the Blockchain payment security reference
The industrial circle and academic circle have begun to realize the importance and value of Blockchain payment security, and have carried out active exploration now. However, the current Blockchain payment is still in the early stage of industrial development with systematic study lacked. PayYoda analyzes the Blockchain payment security demand characteristics and defines the Blockchain payment security boundary, laying the foundation of Blockchain payment security reference frame.
Blockchain payment problem: Serious security privacy problem and lack of trust between both parties of the transaction
The traditional payment way is always of high risk, poor efficiency and many restrictions. Especially for the international trade, the buyer shall transfer money to the supplier’s account which needs to be confirmed by many international banks midway with complicated formalities and a long time taken (varying from several days to ten days and a half months) after a deal is closed. More importantly, the account is often frozen for no reason and the high service charge needs to be paid in the whole process because all countries have strict regulations on the amount and types of transactions when international payment. Furthermore, the centralized settlement system is with non-transparent data and unsafe hidden dangers, so the personal information may be disclosed.

Based on the problem, PayYoda puts forward the solution:
I. Credit-driven ecosystem
PayYoda constructs the credit-driven ecosystem by the credit scoring system to solve the security payment problem. Various payment security accidents (including merchant fraud, malicious user attack, phishing site and privacy disclosure) happen to the online payment and offline payment. How to create a safe payment environment becomes the high-priority tasks of all the payment networks.
The PayYoda ecosphere is credit-driven. To achieve the goal, related measures (including credit-driven ecology, merchant caution money, safety fund, privacy protection, credit score, and decentralized risk control anti-fraud) shall be taken to ensure the user asset security in many fields thoroughly.
II. Publicity, transparency and traceability
In addition to this, PayYoda’s strategy is solving the data source and data trust problems by its hardware equipment with machine language, and ensuring the data authenticity of the whole chain based on Blockchain characteristics-decentralization and immutability. The PayYoda’s design ensures the payment transaction data security in the process of acquisition, transmission, storage and computation with stable and reliable technology platform provided for data transmission and value circulation on the digital asset trading.
III. Decentralizing the payment on the Blockchain
After PayYoda implements the actual scenario of digital currency and realizes the integration with payment transactions via Blockchain, it won’t rely on the system in the central position for fund clearing and trading information storage any longer, but can transfer the value directly based on consensus mechanism which doesn’t need any trust coordination. The mechanism transformation result is as follows: On one hand, the huge service cost and maintenance costs of the third party of the third party institution are saved, the business process is simplified and the business costs for banks and customers are lowered; On the other hand, the flattening of the process increases the transfer speed and realizes the real-time transfer, and the security of the whole system can be ensured even though multiple nodes are attacked because a complete set of data copies is stored at each node of the system.
IV. Secure trading system based on artificial intelligence
The PayYoda secure trading protection system is based on multi-core concurrent technology, integrated safety engine technology, zero-copy technique, and other high performance architectures. It integrates ten layers of fine filtering function based on data header and data content (including DOS defense, user authentication, application control, intrusion prevention, site classification and filtering, virus filtration, web application defense and data leak prevention), forms the integrated security defense system from the network layer to the application layer, and realizes the clean flow delivery.
On the basis of artificial intelligence, PayYoda provides such abilities as data analysis, knowledge extraction, independent study, intelligent decision and automatic control which can create the innovative applications in the fields of network information security (such as network protection, data management, message audit, intelligent security and financial risk control).
V. Construction of sustainable payment ecosystem
The sustainable evolution of the platform (as the basic payment network) is of great importance. And the continuous evolution of the platform happens due to sustainable innovation ability in the premise of abiding by common rules. The common rules of the platform are ensured by the governance mechanism and consensus mechanism. As for the innovation, the development history of e-payment in these decades clearly shows: As long as the power is given to the innovators closest to the market, there will always be an endless supply of ideas. In terms of governance mechanism, PayYoda adopts the fully open ecological model so that the ecosphere participants can focus on the tasks they are best at and maximize their respective profits by the corresponding incentive mechanism with innovation driven via the market end.
PayYoda will continue to be rooted in the Blockchain-fertile soil and cooperate with various financial institutions and entity industries to build the decentralized payment ecology together based on Blockchain in the future!
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
AI Risks to Enter 60–80% of Liability and Cyber Insurance Underwriting by 2028, ScienceSoft Predicts
McKinney, USA, September 10th, 2026, FinanceWire
ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.
The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.
ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.
At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.
The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.
Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.
Read the full report for more insights.
About ScienceSoft
ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.
Press Inquiries Welcome
ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.
Contact
Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Chicago’s De’Elegance Private Car Service Celebrates 28 Years in Business by Rebranding as ChauXure
Oldest Black-owned, veteran-owned, woman-owned business of its kind in Chicago builds on its reputation for delivering exceptional experiences
CHICAGO—Sept. 9, 2026—De’Elegance, Chicago’s oldest Black owned, veteran-owned, woman-owned private car service, is celebrating its 28th year in business by rebranding as ChauXure and expanding its fleet of luxury cars. Founded in 1998 by Marie Guyton, an Air Force veteran, ChauXure is renowned for delivering exceptional experiences. By branding itself as ChauXure (Show Sure), the company is emphasizing its reputation for precision, reliability, and consistency.
“After almost 30 years in business, we felt it was time to update our brand to reflect the values that we have long embodied as a business,” explained Guyton, who was honorably discharged from the Air Force in 1990. “We work in high-demand environments where timing and execution cannot vary. Our goal is always to set the standard for service, and ensure that every experience reflects professionalism, punctuality, and attention to detail.”
ChauXure handles executive, airport, and group travel. Clients run the gamut from individuals to corporate clients and large-scale events such as the Indy 500, PGA, and WBNA. While based in Chicago, ChauXure frequently operates on a national basis, such as in the case of the SuperBowl and the NFL Draft.
As part of its rebrand and anniversary observance, ChauXure has invested in expanding its fleet of Lincoln Navigators and Mercedes Sprinter vans. The latter can carry up to 14 passengers in luxury style.
To learn more or reserve travel, visit https://chauxure.com/, email info@chauxure.com, or call (708) 765-6255. Service is available 24 hours a day, 365 days a year.
Media Contact
Organization: ChauXure
Contact Person: T. Guyton
Website: https://chauxure.com/
Email: Send Email
Contact Number: +17087656255
City: Chicago
State: IL
Country: United States
Release id: 48943
The post Chicago’s De’Elegance Private Car Service Celebrates 28 Years in Business by Rebranding as ChauXure appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Tribal Launches Campfire, Letting Business and Technical Teams Build on Salesforce Together
NEW YORK, NEW YORK, September 10th, 2026, FinanceWire
Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce org at the speed of business, with security, permissions and dependencies intact
Enterprise-native AI platform Tribal today launched Campfire, a shared, production-grounded workspace that brings business users, architects, security teams, admins, reviewers, and testers into one governed process for building applications on Salesforce (NYSE: CRM).
Salesforce’s move toward Headless 360 is expanding how users, agents, and applications can interact with the platform. For large enterprises, that creates a new challenge: how to let more people build without losing control of the org.
Campfire replaces disconnected handoffs with one shared workspace where business leaders, architects, security teams, and admins build together. Business leaders define the outcome, architects identify dependencies, security sets the guardrails, and admins turn the approved design into a production-ready solution. Requirements, risks, and decisions stay aligned from idea through deployment.
Every participant works from the same context, grounded in the systems already running in production. Tribal’s Metadata Fabric continuously maps the org’s objects, automations, permissions, business rules, and dependencies. This allows teams to move directly into building instead of spending cycles reconciling conflicting context and assumptions across separate AI tools.
From there, Campfire turns the shared design into an application built on Agentforce and Omni-Channel, with the agreed workflows and guardrails carried through.
“The biggest bottleneck in enterprise software is not a shortage of ideas. It is everything that has to happen between an idea and production,” said Yoav Kolodner, Co-founder and CEO of Tribal. “Campfire addresses what comes next: how enterprises decide what automations, objects, and AI applications to build, bring the right people into that decision, and move safely into production.”
Campfire is designed to help enterprises retain ownership of their mission-critical Salesforce systems rather than route every change through a central development queue or implementation partner. Because applications are built inside Salesforce, teams retain their existing permissions, governance, and audit controls instead of recreating them in external tools. Campfire applies those guardrails throughout the build process, allowing more people to contribute without compromising the org.
“The best ideas in a Salesforce org rarely come only from the people with permission to build,” said Uri Pintov, CPO of Tribal. “They come from the people closest to the work, who usually have no way to act on them. Campfire lets those people shape the solution without forcing the enterprise to choose between speed and security.”
For global companies, that model also changes how Salesforce programs scale. ADAMA, a global crop protection company, used Tribal to support its Agentforce rollout across 19 countries. Rather than one central team guessing at what every market needed, or 19 local builds drifting apart, the teams closest to each market shaped their own requirements on a shared foundation, with separation maintained between markets where local requirements called for it.
“With Tribal, we move significantly faster, iterating quickly and deploying to production with confidence. We’re now able to better serve users in 19 countries while streamlining how they work with data across both new and existing markets,” said Nir Rehav, CIO of ADAMA.
The same holds on everyday enterprise needs. One customer used Campfire to build a commission calculator for its sales team, a project that would normally have required an implementation partner, a six-figure budget and months of work.
As AI expands who can build inside enterprise systems, the challenge is no longer generating solutions. It is coordinating the people, context, and controls required to deploy them safely. Campfire gives CIOs a way to increase development speed without loosening governance or fragmenting the systems their businesses run on.
Tribal Campfire is rolling out to customers now. Tribal will demonstrate Campfire during Dreamforce 2026, September 15 to 17, at Moscone Center in San Francisco.
About Tribal
Tribal is an enterprise AI platform that lets companies own their mission-critical systems and manage them at the speed of business. Founded by Wix and Salesforce veterans, Tribal’s Metadata Fabric maps the full org and, with a team of AI agents on top, enables teams to build and change these systems 10x faster inside their existing security guardrails. Tribal supports Salesforce, ServiceNow, Snowflake, and other key enterprise systems of record.
For more information, visit https://gotribal.ai/.
Salesforce, Agentforce and other Salesforce marks are trademarks or registered trademarks of Salesforce, Inc.
Contact
PR
Orian Tal
Tribal
orian@thepitch.media
About Author
Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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