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Lumino Ceremony: Building the Privacy Protection Infrastructure

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PlatON, a privacy AI computing network which is committed to building a decentralized collaborative artificial intelligence network and global brain, is promoting the democratization of artificial intelligence and establishing a secure general artificial intelligence. The bottom layer of its decentralized privacy protection infrastructure is based on Zero-Knowledge Proof.

What is Zero-Knowledge Proof

Zero-Knowledge Proof is a cryptographic technology to realize privacy protection authentication. The prover needs to make the verifier believe that he knows or owns a message, without disclosing any information about message which is to be confirmed. For example, if the prover wants to prove that he knows the safe box password without revealing it, he can just show some items existing in the safe box that everyone knows.

This process is Zero-Knowledge Proof. The proof needs an initial credible setting (some items existing in the safe box that everyone knows), namely a series of public parameters to help the prover build Zero-Knowledge Proof.

Deficiency of Zero-Knowledge Proof

As a cryptographic technology with both privacy protection and authentication capability, zero-knowledge proof is widely used to realize transaction verification under hidden business details in blockchain. The zero-knowledge proof system applied in the blockchain field is mainly a cryptographic algorithm called “zk-SNARKs”. At present, the existing classic zk-SNARKs algorithms include  GGPR13, PGHR13, Groth16, GM17, and new generation algorithms such as Sonic, Marlin, Plonk, which support updating public parameters. The current version of ZCash, a well-known private cryptographic currency, uses Groth16 algorithm.

From the above “safe box”, we can see that the premise for the correct operation of this kind of algorithm is existing a series of random trusted parameters. However, randomized parameters will not come out of thin air and there is no trusted third party in the blockchain. Parameters created by centralized third parties can be reconstructed in theory, and it is possible to forge proofs, which may destroy the underlying security in PlatON. Imagine that if a specific institution informed the verifier of the storage of the items in the safe box, the institution and the prover could collude and use this secret information to falsify the illusion that the prover knew the safe box password.

Therefore, it is an undoubtedly excellent idea to organize multiple participants to create these randomized parameters through Secure Multi-party Computation. In this process, single party can not reconstruct the parameters any more. Only when this activity is completed safely will the subsequent decentralized application be safe. In fact, ZCash has successfully created system parameters for Groth16 algorithm in November 2017 through its ceremony, Power of Tau.

Lumino, creating secure parameters

In order to prevent the parameters generated by the centralized mode from affecting the underlying security, PlatON started the Secure Multi-party Computation ceremony Lumino on June 21, 2021, last for   60 days. This ceremony is expected to create necessary secure parameters for the Zero-Knowledge Proof protocol.

During the Lumino ceremony, multiple participants carry out several rounds of calculation in the form of a relay, that is to say, the current participant need to use the calculation results of the previous participant as the input of this round, and the calculation output become the calculation input of the next participant as well. After a certain number of rounds, the output of the last participant is the final result of the whole ceremony, namely the system initialization parameters that Plonk thatalgorithm of PlatON will choose. Obviously, the more participants take part in the ceremony, the safer the parameters will be.

As a practical and efficient Zero-Knowledge Proof algorithm, Plonk is commonly used in PlatON projects and communities, which is characterized by a one-time initialization process, that is, running once can be used to deploy multiple applications. Providing necessary initialization parameters for Plonk algorithm through Lumino ceremony means that no one can master the secret information behind the parameters, which can be used to cheat players in the whole system. Lumino ceremony will lay a solid foundation for the security of PlatON.

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Affordable SEO Expert Anatoly Zadorozhnyy Announces Launch of SEO Consulting Website

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Anatoly Zadorozhnyy has launched Affordable SEO Expert, a dedicated website that allows businesses to work directly with him for SEO services without going through a traditional agency structure. The website outlines his offerings, including technical SEO audits, on-page optimization, and link building, while also providing insight into his experience and SEO methodology.

Los Angeles, CA, United States, 26th May 2026Affordable SEO Expert, a newly launched website operated by SEO professional and founder of Marketing 1on1, Anatoly Zadorozhnyy, is now online. The platform was created to provide information on search engine optimization services, SEO methodologies, and digital marketing practices for website visibility and organic search performance.

The website covers several areas of SEO, including technical SEO audits, on-page optimization, content structure analysis, link-building practices, and website performance considerations. The platform also outlines general information regarding SEO processes commonly used to support website indexing, search accessibility, and content relevance across search engines.

The launch of the website reflects ongoing activity in the SEO industry, as independent consultants and specialized platforms expand their online presence to provide educational resources, service information, and search optimization support for businesses across a wide range of industries.

The website also contains information on SEO practices, including both on-site and off-site strategies. Topics referenced throughout the platform include metadata optimization, website structure evaluation, keyword targeting considerations, internal linking practices, technical site analysis, and backlink-related SEO factors commonly associated with organic search visibility.

In addition to service-related information, the website includes background details on industry experience and professional focus areas related to search engine optimization and digital marketing. The platform references work associated with websites operating in local, regional, and broader online markets where search visibility and website accessibility remain important aspects of digital presence management.

Website Features

The Affordable SEO Expert website includes several informational sections, including:

  • Information about available SEO-related services
  • Background and professional experience details
  • Technical SEO and on-page optimization information
  • General information related to link-building practices
  • Contact and inquiry submission functionality
  • Website optimization and search visibility resources

The website launch represents an additional entry into the growing number of specialized online platforms focused on SEO consulting, digital marketing information, and website optimization services. As search engine algorithms and digital marketing standards continue to evolve, platforms dedicated to SEO education and optimization resources remain an active segment of the broader online marketing industry.

About Anatoly Zadorozhnyy

Anatoly Zadorozhnyy is an independent SEO consultant. His work spans technical optimization, content strategy, and search visibility improvements for businesses operating in competitive online markets. The launch of affordableseoexpert.com formalizes the direct consulting model he has operated under. It serves as the primary channel through which new and existing clients can engage his services.

Website: https://www.affordableseoexpert.com/
Facebook: https://www.facebook.com/affordableseoexpertservices/
 

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Organization: Affordable SEO Expert

Contact Person: Anatoly Zadorozhnyy

Website: https://www.affordableseoexpert.com/

Email:
media@affordableseoexpert.com

Contact Number: +18185384885

Address:10 N Grand Ave

City: Los Angeles

State: CA

Country:United States

Release id:45343

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Giggso Introduces Raven, Andie, and AIRTaaS to Help Enterprises Bring Discipline, Reasoning, and Security to AI Adoption

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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.

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

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Caladan Launches API Liquidity: Institutional Access to Aggregated Digital Asset Liquidity Across 100+ Tokens

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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.

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.

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