Press Release
“Data Island” Problem Can Be Solved by Combining Privacy Computing AI and Blockchain Technology
Platon Now Offers Breakthrough Solutions to Break the “Data Island” and Release the Value Potential
During the COVID-19 pandemic, medical networking services developed rapidly, and big data played a key role in the development. In the medical industry, new medical models and cutting-edge research also require a large number of patient data to verify. However, due to the lack of effective privacy protection, data cannot be shared, resulting in the “data island” phenomenon, which has become a big problem to be solved. At the same time, the widespread use of medical big data also triggered the issue of privacy leaks and data abuse, and raised social concerns about data security and privacy protection.
These problems exist not only in the medical industry, but also in other industries. Citing the protection of trade secrets and refusing to trade their own data, government departments are also reluctant to share data because of security, interests, technology, and other concerns. This exacerbates the “data Island” problem, which restricts the maximization of data value.
In the current data market, users produce new online data every day, but they do not own the data. Data is held in the hands of each independent collector, resulting in the compartmentalization of data ownership, which is referred to as “data Island.” The lack of data privacy protection and sharing mechanism is the main obstacle for data authentication.
Blockchain provides an opportunity for data validation. Blockchain is a distributed ledger technology designed to realize transaction accounting through the joint participation of multi-nodes, and each node account is complete and cannot be tampered with. This helps in integrating users into the three-party governing account for insusceptible and uninterrupted data production, data monopoly and data use.
Through node authorization, the final data income is shared among the parties in proportion to realizing the sharing of data ownership. Although transaction information is shared in this process, account information is highly encrypted. Therefore, zero-knowledge proof is an effective strategy to protect the privacy of accounts. Zero-knowledge proof is to make the verifier believe that he has certain knowledge or ability without providing any useful information to the verifier, for example, to realize the asset transfer without disclosing user identity.
Blockchain technology can be widely used in equipment authentication, communication encryption and other areas to provide a strong support for breaking the “data island” and promoting data transactions.
Privacy computing brings solutions
The realization of data sharing transaction and potential value release happens on the value chain of “property right confirmation – privacy protection – co-computing – value sharing.” The scheme, which is widely accepted by finance and blockchain industry, is based on the solution combining privacy computing and AI, which is a new way to solve security problems such as key management, by integrating multiple cryptography algorithms with frontier blockchain technology. Public chain PlatOn is the pioneer that set a precedence of multi-party secure computing (MPC) and other cryptographic algorithms into the key management system (KMS), which realizes the management of massive scale digital assets through cryptography, thereby effectively resolving the contradiction between data privacy protection, right ownership and data sharing, and improving the value and efficiency of data. The technology can be used in future scenarios such as digital wallets and inter-agency transactions.
PlatON has focused on the combination of privacy computing and big data AI. The open-sourced, community-based, blockchain ecosystem recently launched Tensorflow, the world’s first privacy AI framework that supports mainstream in-depth learning. PlatON’s series of innovative practices have provided an observable way to solve the problem of “data island” and data asset transaction.
Thanks to its rich industry experience, PlatON can fix the impasse and step forward. It is reported that PlatON’s core founding team has more than 15 years of experience in finance and communications, and strong software implementation capability too. These are exactly what the foundation for PlatON is built on to continuously and effectively promote R&D investment and business practice. At present, PlatON is focusing on R&D and solving the problem of data sharing step by step in the engineering and business world. Currently, PlatON’s leading network, Alaya, is focused on the financial sector, where data is highly standardized and financial institutions have a strong desire to address data privacy concerns.
PlatON’s Future Vision: Building a Data Transaction Infrastructure
PlatON has become a global leader in the field of privacy-protected computing. With the accumulation of finance and AI, PlatON has reached strategic cooperation with HashQuark, Keystore, HashKey Hub and other well-known platforms in the industry to jointly promote the implementation and application of cutting-edge technologies, such as KeyShard, so as to realize the new digital assets custody service in the world and better protect the security of digital assets.
PlatON’s vision is to build a peer-to-peer computing network that integrates verifiable computing, privacy computing, scalable computing, and dedicated computing hardware to provide open-source public infrastructure software development, consulting, and operational services to developers, data providers, as well as various communities, organizations, and individuals with computing needs around the world, and ultimately to support mass data asset transactions.
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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