Crypto

CUBE3.AI Unveils AI-Driven Technology to Detect and Block Rising Tide of New Scams and Fraud

Palo Alto, California, United States, September 5th, 2024, Chainwire

AI-driven platform detects fraud at its earliest stages, preventing billions in potential crypto losses

As scams grow more sophisticated and increasingly target crypto for laundering billions in losses, CUBE3.AI is pioneering a new era in fraud prevention. Today, the company announced major enhancements to its platform that bridge the gap between Web2 and Web3, enabling real-time risk assessment and the proactive blocking of scams like pig butchering, ransomware, sextortion, and others.

In 2023, investment scams alone led to more than $4.5 billion in losses, with 86% linked to cryptocurrency. A substantial portion of these scams originate in Web2—through social media interactions, fraudulent websites, or other online channels—before transitioning into crypto where recovering stolen assets becomes nearly impossible. While the industry has traditionally focused on either Web2 or Web3, CUBE3.AI leverages unique expertise and proprietary AI technology that seamlessly integrates both realms, enabling the detection and prevention of fraud across the entire digital landscape. This approach addresses a critical gap by offering a holistic view of fraud patterns across both Web2 and Web3, enabling early detection, thorough risk assessment, and timely intervention.

“The most damaging scams often involve complex journeys that span both traditional and crypto spaces. We’ve built a solution that looks at the full picture, from initial contact in Web2 all the way to final transactions in Web3,” said Einaras Gravrock, CEO of CUBE3.AI. “Real-time fraud prevention is a complex challenge that requires expertise in both realms, along with advanced technology capable of interpreting diverse data and understanding context. Our platform is more than just technology—it’s about restoring trust. Whether it’s protecting businesses from dirty money or safeguarding people from devastating losses, this solution marks a significant step forward in the fight against digital fraud.”

CUBE3.AI’s enhanced platform integrates data from social media, online platforms, and dark web sources, combining it with real-time Web3 transaction monitoring. Proprietary AI models trained to interpret the context of this data generate a comprehensive risk score, empowering businesses to act swiftly before scams escalate. By offering seamless visibility into both Web2 and Web3 activities, CUBE3.AI allows organizations to preemptively block threats that would otherwise go unnoticed until it’s too late.

“As criminals increasingly rely on AI to scale their attacks, our response has to be just as sophisticated. Our AI-powered tools connect the dots between Web2 and Web3, giving us a unique edge in identifying threats before they escalate,” said Chris Griffiths, CTO of CUBE3.AI. “By offering this level of visibility and speed, we empower businesses to make informed decisions and protect their users in real time.”

These new capabilities provide exchanges, financial institutions, and service providers with the early detection and risk management they need to avoid facilitating fraud, protect user trust, and minimize financial losses. By offering a solution that integrates data from both Web2 and Web3, CUBE3.AI sets a new standard in fraud prevention, helping businesses stay ahead of rapidly evolving threats.

About CUBE3.AI

CUBE3.AI is an innovative platform dedicated to real-time fraud and crypto crime prevention. Utilizing proprietary artificial intelligence models, CUBE3.AI protects digital assets and transactions from fraud, cyber exploits, hacks, scams, and compliance risks, empowering businesses to protect their assets, reduce chargebacks, and minimize financial losses. Our technology not only responds to incidents but also anticipates and prevents them before they occur, safeguarding businesses and individuals from the risks associated with crypto transactions.

The company was founded by a team of machine learning researchers, fraud prevention specialists, white hats and blockchain engineers, and is backed by leading investors – including Blockchange Ventures, Dispersion Capital, Symbolic Capital, Hypersphere Ventures, ICLUB and TA Ventures. Users can learn more at www.CUBE3.AI and join CUBE3.AI on LinkedInTwitter and Telegram.

Contact

Head of Marketing
Rasa Petuch
CUBE3.AI
rasap@cube3.ai

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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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