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!
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
Giggso Introduces Raven, Andie, and AIRTaaS to Help Enterprises Bring Discipline, Reasoning, and Security to AI Adoption
TROY, Mich., May 26th, 2026, ZEX PR WIRE — Enterprises are moving faster with AI than ever before. But many are also quietly losing comprehension of the systems they are building.
Engineering teams now generate code, workflows, automations, and AI-driven decisions at unprecedented speed using tools like Claude, Codex, Cursor, and enterprise copilots. While productivity has increased, organizations are also experiencing a new operational challenge: more meetings, fragmented workflows, inconsistent outputs, security concerns, architecture drift, and growing difficulty understanding how systems actually work together.
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Giggso calls this problem “comprehension debt” — the growing gap between AI-generated velocity and organizational understanding.
Today, Giggso announced Raven, Andie, and AIRTaaS, three offerings designed to help enterprises reduce comprehension debt and bring discipline, reasoning, and continuous security testing into AI adoption at scale.
Together, the offerings form the front door into GSD (Giggso Security Domain), Giggso’s broader architecture for governing, securing, and operationalizing enterprise AI systems.
“At a small scale, AI feels magical,” said Ravi Venugopal, Founder and CEO of Giggso. “At enterprise scale, it can quickly become operational chaos. Teams move faster, but understanding drops. Meetings increase. Ownership blurs. AI starts producing more than organizations can realistically comprehend or govern. That is the problem we are solving.”
At the center of the announcement is Raven, Giggso’s discipline layer for AI-assisted software development.
Raven is designed to help organizations enforce engineering discipline inside AI-driven development workflows before problems reach production. Rather than acting as a traditional code scanner after development is complete, Raven introduces governance, architecture awareness, policy enforcement, and review controls directly into AI-assisted coding environments.
The platform helps organizations identify risks such as:
- architecture drift
- unapproved libraries
- exposed secrets
- policy violations
- insecure dependencies
- undocumented AI-generated logic
- uncontrolled AI usage patterns
The goal is not to slow development, but to preserve organizational understanding as teams move at AI speed.
“AI can now generate code faster than teams can comprehend it,” Ravi said. “Without discipline, enterprises accumulate technical debt, security exposure, and operational confusion at machine speed. Raven helps organizations preserve engineering quality and architectural understanding while still moving fast.”
Giggso also introduced Andie, a structured reasoning engine designed to help enterprises improve contextual thinking and operational decision-making across teams.
Unlike traditional chatbot-style AI interfaces that generate isolated answers, Andie is designed to help organizations reason through problems with context, constraints, and multiple perspectives in mind. The platform is intended to support operational workflows across delivery, strategy, planning, support, and execution environments.
Giggso believes one of the biggest failures in enterprise AI adoption is not a lack of intelligence, but a loss of shared understanding.
“Most organizations do not need another chatbot,” Ravi said. “They need systems that help teams think more clearly together. AI should reduce confusion, not multiply it. Andie is designed to strengthen organizational reasoning, preserve context, and reduce the fragmentation that happens when every team operates with disconnected AI outputs.”
To address the growing security risks around enterprise AI adoption, Giggso is also expanding AIRTaaS, its AI Red Teaming as a Service platform.
As enterprises deploy AI agents, copilots, retrieval systems, and autonomous workflows into production, traditional security testing approaches are increasingly insufficient. AI systems can fail through prompt injection, hallucinations, role-boundary violations, tool misuse, unsafe autonomy, data leakage, and adversarial manipulation.
AIRTaaS continuously stress-tests AI systems against these real-world failure scenarios before they become operational incidents.
The platform combines:
- AI red teaming
- observability
- governance workflows
- incident tracking
- remediation guidance
- human-led adversarial testing
To strengthen its execution capabilities, Giggso has partnered with Seiance India, a woman-owned AI security startup based in Chennai, India, whose product, Trinity, is an AI security and observability platform.
“AIRTaaS turns AI security into an operational discipline instead of a compliance checkbox,” said Abhinaya, CEO of Seiance India P Ltd.
“Enterprises need continuous stress testing because AI systems are constantly evolving. Our focus is helping organizations identify weaknesses early, validate resilience continuously, and improve trust in production AI systems.”
Giggso also announced that portions of AIRTaaS and related tooling will be free for Individual Developers, while core Enterprise developer-focused red teaming capabilities will be low-cost and easy to certify for teams.
The company said the decision reflects a growing concern about “AI washing” — where organizations overstate AI capabilities without sufficient operational rigor — and the rise of “AI slop,” low-quality AI-generated outputs that appear acceptable on the surface but fail under real operational conditions.
“We believe AI adoption needs more honesty, more discipline, and far more operational accountability,” Ravi said. “The future belongs to organizations that can scale AI without losing security, comprehension, governance, and trust in the process.”
Raven, Andie, and AIRTaaS are part of GSD (Giggso Security Domain), Giggso’s enterprise architecture for governing AI systems, coding workflows, observability, orchestration, reasoning, and AI operational security across the enterprise.
More information is available at Giggso
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
Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens
Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.
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Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.
“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan
Why aggregation produces better pricing
Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.
The broadest token coverage of any market maker
API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.
For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.
Flexible connectivity and settlement
API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:
-
Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection
-
Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work
Settlement is handled through institutional partners, with options for fiat and stablecoins:
-
Hidden Road and BitGo Go Network for custodial settlement
-
Customers Bank CUBIX for fiat settlement in USD
-
USDT and USDC settlement available directly
Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.
About Caladan
Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.
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
Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens
Singapore, May 26th, 2026, ZEX PR WIRE — Institutional counterparties can now access executable streaming prices and RFQ liquidity for spot and perpetuals on 100+ digital assets through the Caladan API, launched today by Caladan, the largest Asia-headquartered market maker for digital assets.
1.png)
Built on nearly a decade of active trading, Caladan continuously aggregates pricing and depth from 20+ on-chain protocols, 47+ centralised exchange integrations, and bilateral relationships. The result is a single pricing feed that delivers tighter spreads, higher fill rates, and full depth on long-tail tokens.
“Fragmentation is the defining liquidity challenge in digital assets today. A single exchange, a single counterparty, or a single OTC desk will always have an incomplete view of price and depth. We have spent nine years building the infrastructure to see the whole market simultaneously, and API Liquidity makes that infrastructure available to institutional participants through a single API connection.” – John Gu, CEO, Caladan
Why aggregation produces better pricing
Digital asset liquidity is highly fragmented across centralised exchanges, decentralised protocols, regional venues, bilateral broker-dealers, and OTC desks. Caladan’s sourcing model is the commercial differentiator. The firm facilitates over $170 billion in annual trading volume across more than 100 assets, which means its pricing engine is continuously calibrated against a wider range of market signals. The more heterogeneous the sourcing — on-chain, off-chain, bilateral, and platform-routed simultaneously — the tighter the spread and the deeper the available size at any given price point.
The broadest token coverage of any market maker
API Liquidity provides access to the top 100 tokens — the widest token coverage available from any market maker globally. Coverage spans spot and perpetuals.
For institutional participants managing diversified digital asset portfolios or building crypto-embedded products, this breadth eliminates the need to maintain multiple liquidity provider relationships to cover the full token universe.
Flexible connectivity and settlement
API Liquidity is designed for immediate integration with minimal development overhead. Counterparties can connect through the channel that fits their existing workflow:
-
Direct API: Native FIX connectivity (4.2, 4.4, 5.0) for firms that prefer a direct bilateral connection
-
Platform partners: Desks already connected to Talos, Finery Markets, or CrossX can access Caladan liquidity with no additional integration work
Settlement is handled through institutional partners, with options for fiat and stablecoins:
-
Hidden Road and BitGo Go Network for custodial settlement
-
Customers Bank CUBIX for fiat settlement in USD
-
USDT and USDC settlement available directly
Competitive credit and margin terms are available for qualifying counterparties. Fiat currency pairs including EUR and JPY are in development, with additional currencies in the pipeline.
About Caladan
Caladan is Asia’s largest digital asset market maker, headquartered in Singapore with teams across seven global offices. Since 2017, Caladan has facilitated over $170 billion in annual trading volume, operating across 65+ exchanges worldwide. The firm provides market-making, OTC trading, DeFi expertise, and investments to institutional participants globally.
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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