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“Security officer” in the digital economy era, the next block-chain technology outlet–privacy computing

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Nowadays, public and personal privacy disclosure happen from time to time. However, the “big data era” will never become the “infringement era”, and the relevant parties are speeding up relevant actions

Government concerns

“2021 Private Computing Industry Research Report” from KPMG shows that private computing is driven by the dual needs of big data fusion and privacy protection. The Chinese market will develop rapidly. After three years, technical service revenue is expected to reach RMB 10-20 billion.  It will even grow into a $100 billion market.

Obviously, China will not miss this huge market, just like seizing the opportunity of mobile Internet ten years ago. The Chinese government takes the lead in establishing a government-enterprise alliance, which focuses on  industry application implementation, standard construction, policy supervision research, and technology popularization.

On December 21, 2020, the China Academy of Information and Communications Technology and nearly 50 units jointly launched the “Privacy Computing Alliance”. The Privacy Computing Alliance covers almost all mainstream domestic privacy computing companies, including Huawei, Tencent, Baidu and other companies. It will build a government-industry-university-research cooperation platform which focuses on basic core technology research, industry application implementation, standard system construction, and privacy computing policies.  In addition, it is also necessary to help alliance members improve R&D design and production service levels, and cultivate relevant industry markets jointly.

Infrastructure

Privacy computing technology has broad application scenarios on the blockchain. Since 2021, block-chain applications focusing on privacy computing solutions have emerged one after another. The network infrastructure that solves the pain points of privacy protection is gradually appearing. According to official sources, the privacy computing public infrastructure PlatON has launched its main network in April 2021 after two and a half years of research and development, eight months of technical testing on the Pellet World Test network, six months of business verification on the Alaya meta network, and three rounds of internal exercises.  Besides, PlatON continueS to cooperate with well-known blockchain projects such as Polkadot, Zilliqa, Mask Network, SubDao, WePiggy, etc. in cryptography, privacy computing, and cross-chain applications.

PlatON combines blockchain and privacy computing technology to build a decentralized collaborative artificial intelligence network and global brain, which works to promote the democratization of artificial intelligence and establish a secure general artificial intelligence.

Data Exchange established

Under the auspices of Beijing municipal government, on March 31, 2021, Beijing Financial Holdings Group together and 3 companies, with market-oriented data transaction operation experience, jointly initiated the Beijing International Big Data Trading Co., Ltd. At  press conference, the Beijing International Big Data Exchange was established and the Beijing Data Trading System was launched.

The Beijing International Big Data Exchange will be supported by data technology, using privacy computing, blockchain and other technology to separate data ownership, use rights, and privacy rights, and establish a data circulation mechanism that integrates data registration, evaluation, sharing, transaction, application, and service. The Beijing International Big Data Exchange will create a leading domestic data transaction infrastructure and become an important data cross-border circulation hub all around the world.

Technology alliance

According to news from HelpNetSecurity, on May 6, 2021, more than 20 companies around the world announced the establishment of Data Privacy Agreement Alliance (DPPA), which is committed to establishing a decentralized, blockchain-based data system. It will provide consumers with control rights over their data so that they can compete with data monopolies such as Google and Facebook. The founding members of DPPA include data aggregators, privacy advocates, brands, agencies, and advertising platforms.

What’s indisputable is that it is a critical period for building a global privacy computing infrastructure between now and 2025. Plenty of technology-driven blockchain companies are working hard in this direction. From the beginning of independent exploration, iterative research and development, testing, and tuning, blockchain companies turn into multi-party alliances, actively cooperating in identity authentication technology, community governance, and business promotion, and strive to promote the realization of a global privacy data economy.

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Excent Capital Partners With BridgeWise to Bring AI-Powered Market Analysis to All Traders

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Mahé, Seychelles, July 20th, 2026, FinanceWire

Excent Capital, the global multi-asset regulated trading platform that builds and owns its technology, announces a strategic partnership with BridgeWise, a global leader in artificial intelligence for investment analysis. Through this collaboration, AI-powered market analysis is now available on the Excent Capital website, at no cost and open to all traders.

Excent Capital develops its technology entirely in-house, giving the company full control over the quality of the investor experience and the speed with which innovative solutions meet traders. This approach made the partnership possible. The company selected BridgeWise to bring institutional-grade analysis directly to its audience, integrated natively into the Excent Capital experience and accessible to every visitor.

“We chose BridgeWise because they build solutions tailored to each partner, and that approach reflects exactly what we want to offer our clients: an experience designed specifically for them.” Jethran Gómez, Technology Leader at Excent Capital.

More Knowledge, Better Decisions

BridgeWise applies proprietary artificial intelligence, built specifically for financial markets, to analyse thousands of listed companies worldwide. The result is a consolidated view of market data and company analysis, bringing together information that can support research activities.

That intelligence is now freely available to every visitor, so any trader can research an asset and build a clear understanding of it before taking a position.

Clear Analysis, Made for Traders

The Analysis IQ resource, powered by BridgeWise, is presented in plain language, designed to be read quickly and applied directly. Traders can see how a company is performing, how it compares with its peers, and what is driving its results.

For each asset, the Analysis IQ widgets on Excent Capital answer questions every trader asks:

  • “How strong is it?” A clear score summarises the overall picture in seconds.
  • “How does it compare?” A side-by-side view places the asset alongside similar instruments and shows where it stands within its sector.
  • “What is the market signalling?” Technical and fundamental indicators highlight what is moving and what deserves closer attention.

A Complete View of Every Stock

A single search in Analysis IQ brings the full picture together: what is driving a stock’s price, how it has performed over time, and where it sits within its sector. The tool covers stocks from markets around the world, consolidating research that previously required multiple sources into one view.

Analysis IQ is updated as new data arrives. When the market moves, the analysis moves with it.

“Excent Capital shares our conviction that not only should advanced market intelligence be accessible to every investor, but they should be able to access it in the most intuitive and personalised way. Together we are setting a new standard for the experience that traders can expect from their broker.” Dor Eligula, CBO and Co-founder at BridgeWise.

Analysis IQ is live now on the Excent Capital website, open to all visitors. The launch is the latest step in a continuing programme of new resources and features, and reflects Excent Capital’s commitment to giving traders the tools and information they need to navigate global markets with clarity.

About Excent Capital

Excent Capital Ltd. is a multi-asset trading platform built on technology the company designs, develops and operates itself. That ownership shapes every part of the client experience, from execution and security to the tools available on the platform. Over five years of consistent growth, Excent Capital has expanded its presence across multiple regions while keeping its infrastructure and service delivery fully in-house, a model that allows the company to set its own standards and raise them continuously. With offices across Latin America and Europe, the company supports clients in their own languages and time zones, backed by local teams who work to the same standards wherever they are based.

About BridgeWise

BridgeWise is an investment AI for financial institutions. Embedded directly into financial platforms, our regulated investment AI powers a premium guided investment experience for every type of investor, 24/7. Leading global financial institutions, including Rakuten Securities, B3 and SIX, trust BridgeWise to reshape their investment experience and drive deeper customer relationships, turning loyalty into new pathways for growth. With offices in the US, Latin America, Europe, East Asia and the Middle East, BridgeWise serves over 100 financial institutions and 100+ million investors worldwide.

Contact

Marketing Manager
Ryccielli Ongaratto
support@excent.capital

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Press Release

BinBase Unveils 2026 Payment Intelligence Dataset for 8-Digit BIN Migration and Tokenization

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Sunny Isles Beach, United States, July 20th, 2026, FinanceWire

BinBase, a provider of payment routing and card intelligence data, today announced the release of its updated 2026 Bank Identification Number (BIN) dataset. The release introduces high-precision data structures designed to address routing inefficiencies caused by the global transition to 8-digit BINs and tokenized digital wallet transactions.

As major payment networks shift from legacy 6-digit BIN standards to 8-digit and 11-digit sub-ranges (including Apple Pay and Google Pay DPANs), standard lookup tables frequently fail to identify exact issuing banks or network capabilities. This fragmentation leads to misrouted transactions, increased interchange costs, and elevated decline rates for online merchants.

BinBase addresses this operational bottleneck through an 11-to-6 digit Waterfall Lookup system. The dataset maps complex sub-ranges down to the issuer level while maintaining backward compatibility with legacy payment engines.

“Precision at the issuer lookup level is critical for modern payment routing,” said Michael Evans, Director at BinBase. “Our 2026 dataset equips processors and merchants with 29 granular attributes per BIN range, including Reg II Durbin exemption status, Fast Funds capability, and regional co-badging indicators.”

Key Features of the 2026 BinBase Release

  • High-Precision Sub-Range Mapping: Resolves 11-digit and 8-digit tokenized ranges to ensure accurate transaction routing.
  • Co-Badged Scheme Support: Identifies dual-network cards across European (Carte Bancaire) and international payment schemes.
  • Daily Updates & Formats: Available as flat CSV, SQLite, and PostgreSQL database dumps for seamless local caching.

To facilitate developer integration, BinBase has published an open-schema specification and sample dataset on GitHub: https://github.com/BinBaseDatabase

About BinBase

BinBase provides enterprise payment intelligence data to merchants, payment service providers, and financial institutions worldwide, helping optimize card authorization rates and prevent transaction fraud. For more information, user can visit https://www.binbase.com.

Contact

Director
Fedor Lavrikoff
BinBase
sales@binbase.com

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Press Release

FinHarbor Launches AI Co-Investigator for AML

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Nicosia, Cyprus, July 20th, 2026, FinanceWire

A self-hosted LLM connected to the platform’s ledger, KYC/KYB, KYT, and audit trail takes over the routine layer of AML investigations – while every decision with regulatory consequences stays with a human

FinHarbor, a technical platform provider for launching compliant, modular financial products, has announced the launch of its AI Act-ready compliance module – an AI co-investigator that works on top of the platform’s existing compliance stack and is deployed entirely inside the client’s own infrastructure.

The timing matters. On 2 August 2026, the EU AI Act’s transparency obligations take effect for customer-facing AI systems, while the recently adopted simplification package moved the high-risk requirements to December 2027 – a preparation window, not an amnesty. FinHarbor’s answer is a module designed around the Act’s logic from day one: documented, supervised, and architecturally incapable of acting alone.

The problem: compliance teams drowning in false alarms

The economics of AML operations are well documented. According to Google Cloud, more than 95% of alerts generated by rules-based AML systems turn out to be false positives at first review, and roughly 98% never result in a suspicious activity report. Compliance teams at growing platforms spend the bulk of their time reconstructing cases from disconnected tools rather than investigating genuine risk.

The industry results from applying AI to this layer are equally documented. HSBC, working with Google Cloud, cut alert volumes by more than 60% while identifying two to four times more genuinely suspicious activity. In a Coforge deployment at a leading US bank, an AI-powered alert optimization framework reduced false positives by 70% and improved fraud detection rates by 35%.

What the module does

FinHarbor’s co-investigator operates across the platform’s unified ledger, KYC/KYB, KYT, transaction monitoring, and append-only audit trail. In practice, it:

  • Pulls client and transaction data on demand. An analyst asks a question in plain language; the module queries the platform’s databases directly – no SQL, no waiting for a data team.
  • Clears the routine layer of AML alerts. Recurring false positives are classified and closed with documented reasoning, leaving human analysts only the cases that warrant judgment.
  • Assembles the full case. Transactions, counterparties, KYC/KYB history, on-chain trail from KYT, sanctions and PEP screening results – linked into a single investigation profile instead of a manual reconstruction across tools.
  • Drafts SAR/STR narratives. The module prepares the regulatory filing in the accepted format; the compliance officer reviews, edits, and signs.
  • Prioritizes the investigation queue by risk score, so the highest-risk cases surface first.
  • Answers regulator and auditor requests with an export from the unified audit trail rather than a manual evidence-gathering exercise.

A co-investigator, not an autopilot

The module’s operating principle is built into its architecture: AI investigates, humans decide. It never files a SAR, blocks an account, or takes any action with regulatory consequences on its own – every such step requires a human signature. This human oversight model, together with system documentation and model risk management, is how the module addresses the AI Act’s high-risk regime, while built-in disclosure ensures that in any chat-based scenario users always know they are interacting with AI.

The same architecture covers DORA: the append-only audit log meets third-party oversight requirements and streams directly into the client’s SIEM.

Deployed inside the perimeter, not in someone else’s cloud

The module runs as a self-hosted LLM within the client’s own environment, connected to the platform’s modules and databases through an MCP server behind the client’s authentication. Setup means scoping access – which modules and accounts the model can read, under which API keys and limits – selecting the model, and configuring redaction rules for regulated fields. Documentation and human oversight are part of the deployment, not an add-on.

This is also why the module’s relevance extends well beyond the EU. The core design principle – regulated data never leaves the client’s perimeter – answers the same requirement under GDPR, UK GDPR, Switzerland’s revFADP, Brazil’s LGPD, and Saudi Arabia’s PDPL. The AI Act is the entry point, not the boundary.

“Compliance teams don’t need another dashboard – they need the routine taken off their hands without giving up control,” said Ilya Podoynitsyn, CEO of FinHarbor. “Our co-investigator reads the same ledger, the same KYC files, the same on-chain data our platform already maintains, and does the legwork: assembles the case, drafts the narrative, documents every step. But nothing that matters to a regulator happens without a human signature. That’s not a limitation we accepted – it’s the design principle we started from.”

The module is currently running in pilots on several client projects. The underlying infrastructure – MCP and self-hosted LLM deployment within the client perimeter – is already part of the FinHarbor platform and publicly documented. The module is delivered as part of the platform, with commercial terms defined per deployment.

About FinHarbor

FinHarbor is a technical platform provider for launching compliant, modular financial products – from wallets and neobanks to crypto ramps and OTC desks. Built on years of real-world fintech experience, the platform covers onboarding, compliance, wallets, transactions, cards, and reporting, delivered with a microservice-based architecture (ISO/PCI DSS-certified), a robust API layer, and on-premise or cloud-ready deployment. FinHarbor supports fiat-only, crypto-native, and hybrid business models across markets in Europe, MENA, and beyond.

Learn more: www.finharbor.com

Contact

Maxim Yakushev
FinHarbor
press@finharbor.com

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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.

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