News related to
crypto

Hashtag: #cryptoexchange #Bitcoin #Crypto #Exchange #AZX #DeFi

https://www.azverse.xyz
https://x.com/AZX_Dex
https://medium.com/@off_social_azx

The issuer is solely responsible for the content of this announcement.

About AZX

AZX is a high-performance order-book DEX built on the innovative Axis technology. Aiming to “Compose All Finance“, AZX envisions providing feasible solutions to the fundamental challenges in cross-ecosystem asset flow and integration, offering a compelling long-term narrative around financial infrastructure innovation. As an auditable, high-performance bridge connecting traditional finance and decentralized finance, AZX positions itself at the forefront of the next evolution in global finance, with an ultimate ambition that goes beyond building another crypto DEX: to empower users and developers with the foundational layer to compose financial applications that were previously impossible.

A wave of AI-generated videos circulating on social platforms has drawn regulatory and public attention after Meta removed a cluster of manipulated clips tied to public discourse in India, underscoring the accelerating threat posed by deepfakes and the strain on existing cybersecurity defences. The action has reignited debate over platform accountability, election integrity, and the pace at which safeguards are keeping up with generative tools.

Meta said the videos breached its policies on manipulated media and deceptive practices, adding that enforcement teams had detected coordinated behaviour designed to amplify misleading narratives. The company did not detail the creators or precise reach, but independent analysts tracking social traffic reported that some clips had amassed hundreds of thousands of views before moderation. The removals came amid heightened scrutiny of AI-driven misinformation as synthetic video and audio tools become cheaper, faster and harder to spot.

Security specialists warn that the technical leap in realism has lowered the barrier for malicious actors. Diffusion models and voice-cloning systems can now produce convincing footage with minimal training data, enabling impersonation, fabricated statements and false evidence. The risk profile extends beyond politics to financial fraud, reputational attacks and social engineering. Banks and insurers have flagged a rise in scams that combine deepfake video calls with stolen personal data to bypass verification checks.

India’s digital ecosystem amplifies the challenge. With one of the world’s largest online populations and intense engagement on short-video platforms, manipulated content can travel rapidly across languages and regions. Fact-checking groups say the velocity of sharing often outpaces verification, while takedowns, even when swift, can struggle to contain copies and re-uploads. Researchers at leading institutes have documented how watermark removal, compression artefacts and cross-platform reposting degrade detection signals.

Government authorities have been pressing technology companies to strengthen guardrails. Draft rules under the Information Technology framework emphasise due diligence for intermediaries, traceability of originators in defined cases, and clearer disclosures for synthetic media. Officials have also signalled expectations for labelling AI-generated content and responding promptly to lawful takedown requests, while balancing free expression and privacy. Industry groups argue that clarity on standards and timelines is essential to avoid uneven enforcement.

Meta has highlighted investments in detection and transparency, including classifiers trained to identify AI artefacts, partnerships with academic labs, and labels applied when confidence thresholds are met. The company also points to cross-platform threat sharing through industry forums to flag emerging manipulation techniques. Critics counter that adversarial innovation is moving faster than defensive models and that labels can be stripped or ignored, especially when content is shared outside original platforms.

Election experts say the stakes are rising as campaigns increasingly rely on video to reach voters. Even short-lived false clips can shape perceptions, sow doubt or distract from substantive debate. Studies of prior electoral cycles show that corrections often fail to reach the same audiences as the initial misinformation, leaving residual effects. Civil society organisations have urged a layered response that combines platform enforcement, rapid response hotlines, and public education on media literacy.

Cybersecurity firms are adapting with multi-signal approaches that fuse video forensics, network analysis and behavioural cues. Techniques include analysing eye-blink patterns, head-pose consistency, acoustic fingerprints and temporal anomalies, alongside monitoring coordinated posting patterns. Yet experts caution that no single method is foolproof. As generative systems learn to mimic these signals, defenders must iterate continuously, increasing costs for both sides.

The economic dimension is also coming into focus. Advertising clients are wary of brand adjacency to manipulated content, prompting demands for stronger brand-safety assurances. Meanwhile, startups offering verification, provenance tracking and content authentication are attracting investment. Standards bodies are promoting cryptographic provenance frameworks that embed origin metadata at creation, though adoption remains uneven across devices and platforms.

Recently, the cryptocurrency trading platform BGEANX, known for its compliance, launched a high-performance matching engine that achieves millisecond-level trade execution, optimizing market liquidity and ensuring stable operation even under extreme market conditions. This technological advancement enhances user experience and positions BGEANX with core competitiveness in the fiercely competitive crypto market.

Due to high volatility in the crypto market, investors often face issues like long order placement times and increased slippage, leading to higher trading costs and missed opportunities. Leading exchanges are accelerating infrastructure development to optimize trade execution capabilities and improve liquidity. BGEANX launching the high-performance matching engine precisely responds to market demands, providing investors with a more stable market environment and optimal transaction prices.

In the competitive landscape of the industry, trading matching capability is one of the core competencies of exchanges. Through this technological update, BGEANX attracts professional traders and institutional users with faster order execution speed and stronger market depth. This upgrade ensures smoother execution of large trades, offering a more stable investment environment.

For different types of users, the technology upgrade brings tangible improvements in user experience. Ordinary users can enjoy faster order matching, avoiding missed trading opportunities due to matching delays. Professional traders and institutional investors focus more on low latency and high throughput, and the new generation matching engine of BGEANX ensures trading stability under extreme market conditions, providing reliable support for complex high-frequency quantitative strategies.

BGEANX spokesperson Seraphina stated: “BGEANX continues to invest in technological innovation, dedicated to providing users with excellent investment tools and a superior user experience. The launch of the millisecond matching engine marks another breakthrough in technology application for BGEANX. In the future, we will continue to optimize platform performance, combining AI trading tools and intelligent risk control systems to create a more intelligent crypto investment ecosystem for global investors.”

Hashtag: #BGEANX

The issuer is solely responsible for the content of this announcement.

• DAICS^® coin coverage: As of 3^rd December, the top 50 coins by average market capitalization across the past 90 days
• DAICS^® market capitalization coverage: 96.98%*
• The % coverage of market capitalization of the 50th ranked coin: 0.048%**
• Member changes within the Top 50 Coins in DAICS^®: eight coins added and nine coins deleted
• Additions: Zcash (ZEC), World Liberty Financial USD (WUSD), PayPalUSD (PYUSD), Memecore (M), Worldcoin (WLD), Story (IP), Arbitrum (ARB), KuCoin (KCS)
• Deletions: Mantra (OM), GateToken (GT), Official Trump (TRUMP), VeChain (VET), Render (RENDER), First Digital USD (FDUSD), Filecoin (FIL), Cosmos (ATOM), Algorand (ALGO)
• 9 Green Coins labelled: Cronos (CRO), Pi (PI), Internet Computer (ICP), Hedera, Sui (SUI), Toncoin (TON), Arbitrum (ARB), Mantle (MNT), Tron (TRX)

Note:
*Special currency treatment of DAICS^® applies, where any wrapped or second-level cryptocurrency is not considered in the calculation for the market capitalization of DAICS^®
**Based on 3rd December 2025
G: Green Coin

The rankings of additions and deletions for the DAICS^® top 50 cryptocurrencies are listed in Appendix 1. All classification changes, including the ixCrypto Infrastructure Index and ixCrypto Stablecoin index, will take effect on 23^rd January 2026, with market capitalization, rankings, and weightings available at www.ix-index.com.

1. Cryptocurrencies

1.1. Structure and Definitions

Tier 1: Industry Changes
The industry groups remain unchanged, with 5 industries and the respective weightings as follows:

Tier 2: Sector Changes
The number of sectors has increased from 17 to 18. There is one new sector added under the industry group “Tech & Data (140)”:

Identification (14040)
Definition: Cryptocurrencies that facilitate decentralized identity authentication and/or blockchain-based validation of digital intellectual property rights. The classification emphasizes trust, data consent, and privacy as core architectural features while the crypto by itself is not an identity token.

1.2. Reclassification Changes
This review doesn’t have any reclassification of the existing coins. The DAICS® 2H 2025 cryptocurrencies classification is available in Appendix 2.

1.3. Green Coin Label
This review identifies 9 Green Coins, classified based on their energy-per-unit-transaction, which is defined as the amount of energy consumed for a successful single unit transaction of the coin in the blockchain network. The coins selected rank in the top 20 percentile of the least energy-consuming cryptocurrencies out of the 50 DAICS^® constituents. The top 20 percentile’s threshold in this review is ≤ 0.150 Wh. The table below lists these low-energy coins.

Note: G as ‘Green Coin‘ labelling for cryptocurrencies that adhere to the principles of sustainability

2. Asset Backed Tokens (ABT)

2.1. Structure and Definitions

Tier 1: Asset Type Changes
The asset types remain unchanged at 6 as follows:
1) Culture (205),
2) Real Estate (215),
3) Financials (235),
4) Entertainment (255),
5) Natural Resources (265), and
6) Green Economy (275)

Tier 2: Branch Changes
The number of branches has increased from 31 to 32, with a new branch added under Financials (235): Tokenized funds (23540).

2.2. Classification Changes
This review doesn’t have any reclassification of the existing assets.

2.3. Coverage of DAICS^®
A classification summary and definition table of both cryptocurrencies and ABTs are available in Appendices 3 and 4. For further information regarding the methodology of the DAICS^®, please refer to the “IX Digital Asset Industry Classification System”- principle and guiding methodology on the company website https://ix-index.com/daics.html.

For more details on DAICS^® qualification criteria, please email [email protected].

Appendix 1

G: Green Coin

Appendix 2

Note:
G as ‘Green Coin‘ for cryptocurrencies that adhere to the principles of sustainability
NEW for newly added sector

Appendix 3

Note: NEW for newly added sector

Appendix 4

Note: NEW for newly added branch

² United Nations 17 sustainable development goals covering 1) No Poverty 2) Zero Hunger 3) Good Health and Well-Being 4) Quality Education 5) Gender Equality 6) Clean Water and Sanitation 7) Affordable And Clean Energy 8) Decent Work and Economic Growth 9) Industry, Innovation and Infrastructure 10) Reduced inequalities 11) Sustainable Cities and Communities 12) Responsible Consumption and Production 13) Climate Action 14) Life Below Water 15) Life on Land 16) Peace, Justice and Strong Institutions and 17) Partnerships for the Goals https://sdgs.un.org/goals

The issuer is solely responsible for the content of this announcement.

About DAICS®

DAICS^® covers both cryptocurrencies and asset-backed tokens (“ABTs”), to be reviewed semi-annually at the end of June and December. On the cryptocurrency side, it is a three-tier system that groups cryptocurrencies into 5 main industries: 1) Payment, 2) Infrastructure, 3) Financial services, 4) Technology & Data, and 5) Media & Entertainment. These industries are further divided into sectors and sub-sectors to be introduced in the future. Under asset-backed tokens, there are 6 asset types: 1) Culture, 2) Real Estate, 3) Financials, 4) Entertainment, 5) Natural Resources, 6) Green Economy. These asset types are further divided into branches and sub-branches to be introduced in the future.

About the IX Asia Tokenization Advisory Committee and Working Group

The establishment of the IX Asia Tokenization Advisory Committee (“Advisory Committee”) is to pursue the goal and vision of formulating a standard for a global tokenization framework in a compliant and transparent way. The key role of the Advisory Committee is to formulate the guidelines and references for tokenization in terms of infrastructure, business, financial stability, sustainability, internal control, and classification. The Advisory Committee is comprised of industry-recognised leaders from blockchain consultancy, sustainable projects, and the field of the Art industry.

The establishment of the Working Group is to identify, evaluate and recommend key directions and founding principles according to their specific industry knowledge and expertise in relating to the creation of the specified token. It will examine and propose improvements to the guidelines and references for tokenization. The working group is formed of a diverse group of market experts representing relevant sectors and markets, to provide input and discuss case studies for creation of tokenization framework, best practices and development of real-world projects.

For more information about IX Asia Tokenization Advisory Committee & Working Group, please visit https://ix-index.com/tokenization-committee.html.