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Understanding Dora, the Digital Operational Resilience Act and Its Implications for the Financial Sector

As the financial sector continues to evolve in response to digital transformation, ensuring robust operational resilience has become paramount. The Digital Operational Resilience Act (DORA), an essential regulation from the European Union (EU), addresses this need by setting stringent standards for information and communication technology (ICT) risk management in financial institutions. This article provides an overview of DORA, its key components, and the impact it will have on the financial industry.

What is DORA?

DORA, formally adopted by the EU in November 2022, is a regulatory framework aimed at enhancing the digital operational resilience of the financial sector. It addresses the increasing vulnerability of financial entities to cyber-attacks and other ICT-related disruptions. DORA’s comprehensive scope applies to over 22,000 financial institutions and ICT service providers within the EU, including traditional banks, insurance companies, and newer players like crypto-asset service providers.

Key Pillars of DORA

DORA is built on five critical pillars, each designed to strengthen the financial sector’s ability to withstand, respond to, and recover from ICT disruptions:

  1. ICT Risk Management: Financial institutions must assess, mitigate, and manage risks associated with their ICT systems. This includes conducting comprehensive risk assessments, implementing protective measures like multi-factor authentication and data encryption, and ensuring employees are trained to recognize and respond to cyber threats.
  2. Incident Reporting: DORA requires financial entities to establish systems for detecting, reporting, and analyzing ICT-related incidents in real time. This ensures that incidents are managed effectively, lessons are learned, and future occurrences are prevented.
  3. Digital Operational Resilience Testing: Regular testing of ICT systems is mandated to ensure they are robust enough to withstand cyber threats. This includes annual penetration tests, stress testing under extreme conditions, and simulated phishing attacks to assess employee awareness.
  4. Third-Party Risk Management: DORA emphasizes the need for financial institutions to manage their relationships with external ICT service providers carefully. This involves setting clear contractual agreements, continuous monitoring, and ensuring compliance with DORA standards.
  5. Information Sharing: DORA encourages the creation of trusted networks for sharing information about threats and vulnerabilities, enhancing collective resilience across the financial sector.

Implementing DORA: Challenges and Strategies

While DORA provides a robust framework for digital resilience, its implementation presents several challenges. Financial institutions must navigate complex requirements, such as revising third-party contracts and improving incident reporting mechanisms. Effective strategies for overcoming these challenges include conducting gap assessments, developing a compliance roadmap, and adopting new technologies to enhance cybersecurity measures.

The Impact of DORA on the Financial Sector

DORA is set to reshape the financial industry’s approach to digital operational resilience. By enforcing high standards across the sector, DORA not only protects individual institutions but also contributes to the overall stability of the financial system. Additionally, its global implications mean that non-EU entities providing ICT services to EU-based financial institutions must also comply with these stringent standards.

Preparing for DORA: A Strategic Approach

Financial institutions should start preparing for DORA by taking proactive steps toward compliance. This includes conducting thorough gap assessments, revising third-party contracts, and establishing governance structures to oversee digital resilience efforts. Regular training and awareness programs, along with continuous adaptation to evolving threats, will be crucial for maintaining compliance and enhancing resilience.

Conclusion

DORA represents a significant step forward in safeguarding the financial sector against digital threats. As the deadline for full compliance approaches in January 2025, financial institutions must prioritize their efforts to meet DORA’s requirements. By doing so, they will not only comply with regulations but also strengthen their ability to operate securely in an increasingly digital world.

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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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