Super-forecasting the ‘technological singularity’ risks from artificial intelligence

Radanliev, Petar; Roure, David De; Maple, Carsten; Ani, Uchenna

doi:10.1007/s12530-022-09431-7

Cited by 25 publications

(8 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI-driven cybersecurity services and management are essential in countering evolving cyber threats, aligning with the Fourth Industrial Revolution's technological advancements (Sarker et al, 2021). Additionally, the literature forecasts emerging cyber risks from the integration of AI in cybersecurity, emphasizing the need for proactive measures to address these risks (Radanliev et al, 2022). The interplay between AI and cybersecurity extends beyond FinTech, encompassing network security, computer security, and mobile security applications (Charmet et al, 2022).…”

Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

View full text Add to dashboard Cite

The economic landscape of Africa is evolving rapidly, and the role of Small and Medium Enterprises (SMEs) is increasingly recognized as a key driver of sustainable development. This review explores the potential of leveraging Financial Technology (FinTech), Artificial Intelligence (AI), and Cybersecurity to accelerate SME growth in the African context, ultimately contributing to economic prosperity. In recent years, FinTech has gained prominence for its ability to revolutionize financial services. By facilitating seamless transactions, enhancing access to capital, and streamlining financial processes, FinTech presents a significant opportunity for SMEs in Africa to overcome traditional barriers to growth. The integration of AI technologies further amplifies this potential, enabling SMEs to harness data-driven insights for informed decision-making, operational efficiency, and personalized customer experiences. However, the adoption of FinTech and AI in the African SME sector necessitates robust cybersecurity measures. As digital transformation accelerates, the risk of cyber threats becomes more pronounced. Addressing these challenges requires a strategic approach to cybersecurity, encompassing robust data protection, threat intelligence, and resilient infrastructure. This review underscores the importance of a holistic approach, wherein the synergy between FinTech, AI, and Cybersecurity becomes a catalyst for economic prosperity. Policymakers, financial institutions, and technology providers must collaborate to create an enabling environment that fosters innovation, supports digital literacy, and ensures the security of digital ecosystems. By embracing this technological trifecta, African SMEs can navigate the complexities of the modern business landscape, foster innovation, and contribute significantly to job creation and economic growth. As Africa positions itself on the global stage, the strategic utilization of FinTech, AI, and Cybersecurity emerges as a pivotal driver for unlocking the full potential of SMEs and propelling the continent toward sustained economic prosperity.

show abstract

Section: Synergy Of Fintech Ai and Cybersecuritymentioning

confidence: 99%

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Chinwe Chinazo Okoye,

Ekene Ezinwa Nwankwo,

Favour Oluwadamilare Usman

et al. 2024

Int. J. Sci. Res. Arch.

View full text Add to dashboard Cite

show abstract

“…Literature is scarce and "fake CTI" is likely not to be prominent currently. The use of AI is bringing great benefits to the wider area of cybersecurity but it brings in itself new risk directions [101]. However, if CTI is to be open and with large volumes, one will expect to see activity that: 1) will try to mislead or reduce the effectiveness of high-quality CTI [100]; and/or 2) make it more difficult to process, e.g., by generating large volumes of false information [102].…”

Section: ) Architectures and Trust Managementmentioning

confidence: 99%

Sharing Is Caring: Hurdles and Prospects of Open, Crowd-Sourced Cyber Threat Intelligence

Jesus,

Bains,

Chang

2024

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

Cyber threat intelligence (CTI) is widely recognized as an important area in cybersecurity but it remains an area showing silos and reserved for large organizations. For an area whose strength is in open and responsive sharing, we see that the generation of feeds has a small scale, is secretive, and is nearly always from specialized businesses that have a commercial interest in not publicly sharing insights at a speed where it could be effective in raising preparedness or stopping an attack. This article has three purposes. First, we extensively review the state and challenges of open, crowd-sourced CTI, with a focus on the perceived barriers. Second, having identified that confidentiality (in multiple forms) is a key barrier, we perform a confidentiality threat analysis of existing sharing architectures and standards, including reviewing circa one million of real-world feeds between 2014 and 2022 from the popular open platform MISP toward quantifying the inherent risks. Our goal is to build the case that, either by redesigning sharing architectures or simply performing simple sanitization of shared information, the confidentiality argument is not as strong as one may have presumed. Third, after identifying key requirements for open crowd-based sharing of CTI, we propose a reference (meta-) architecture.Managerial Relevance-CTI is widely recognized as a key advantage toward cyber resilience in its multiple dimensions, from business continuity to reputation/regulatory protection. Furthermore, as we review in this article, there are strong indications that the next generation of approaches to cybersecurity will be centered on CTI. Whereas CTI is an established business area, we see little adoption, closed communities, or high costs that small businesses cannot afford. For an area that, intuitively, should be open, as velocity and accuracy of information is crucial, we shed light on why we have no significant open, crowd-sourced CTI. In other words, why is usage so lacking? We identify reasons and deconstruct unclear and unhelpful rationales by looking at a wide range of literature (research and professional) and an analysis of nearly ten years of open CTI data. Our findings from current data indicate two types of reasons. One, and dominant, is unhelpful perceptions (e.g., confidentiality), and another stems from market factors (e.g., "free-riding") that need collective movement as no single player may be able to break the cycle. After looking at motivations and barriers, we review existing technologies, elicit requirements, and propose a high-level open CTI sharing architecture that could be used as a reference for practitioners.

show abstract

“…The main objective of industry 4.0 is to create an environment that relies heavily on artificial intelligence, digitization, and the Internet. Artificial intelligence techniques can be combined with cybersecurity to create smart models to classify malware and detect cyber-attacks because computer systems are frequently exposed to cyber threats [50][51][52][53][54][55][56]. These technologies are used to protect the privacy of users and computer systems and to prevent unauthorized access [57][58][59][60].…”

Section: Artificial Intelligence and Industry 40mentioning

confidence: 99%

Analysing the Connection Between AI and Industry 4.0 from a Cybersecurity Perspective: Defending the Smart Revolution

Bala

Mijwil

Ali

et al. 2023

MJBD

View full text Add to dashboard Cite

In recent years, the significance and efficiency of business performance have become dependent heavily on digitization, as jobs in companies are seeking to be transformed into digital jobs based on smart systems and applications of the fourth industrial revolution. Cybersecurity systems must interact and continuously cooperate with authorized users through the Internet of Things and benefit from corporate services that allow users to interact in a secure environment free from electronic attacks. Artificial intelligence methods contribute to the design of the Fourth Industrial Revolution principles, including interoperability, information transparency, technical assistance, and decentralized decisions. Through this design, security gaps may be generated that attackers can exploit in order to be able to enter systems, control them, or manipulate them. In this paper, the role of automated systems for digital operations in the fourth industrial revolution era will be examined from the perspective of artificial intelligence and cybersecurity, as well as the most significant practices of artificial intelligence methods. This paper concluded that artificial intelligence methods play a significant role in defending and protecting cybersecurity and the Internet of Things, preventing electronic attacks, and protecting users' privacy.

show abstract

Super-forecasting the ‘technological singularity’ risks from artificial intelligence

Cited by 25 publications

References 29 publications

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Accelerating SME growth in the African context: Harnessing FinTech, AI, and cybersecurity for economic prosperity

Sharing Is Caring: Hurdles and Prospects of Open, Crowd-Sourced Cyber Threat Intelligence

Analysing the Connection Between AI and Industry 4.0 from a Cybersecurity Perspective: Defending the Smart Revolution

Contact Info

Product

Resources

About