Our pairings, and the groupings that they led to, demonstrate that Artificial Intelligence is likely to have an outsized impact on technology convergence in emerging technologies. However, vulnerabilities in IoT sensors and edge devices can compromise safety, necessitating secure communication protocols and adaptive intrusion detection systems. These technologies enable real-time decision-making for autonomous vehicles and intelligent transportation systems. Platforms like IBM Food Trust leverage blockchain’s tamper-proof ledger to ensure transparency in global supply chains, while AI predicts disruptions and automates processes. Nevertheless, the heterogeneity of devices and the expanded attack surface in smart city networks highlight the need for robust interoperability and cyber security measures.
- When converged, blockchain and AI offer transformative solutions to key challenges in distributed systems, such as improving security, enhancing scalability, and enabling trustless interactions.
- Blockchain-based decentralised frameworks and AI-optimised lightweight cryptographic methods address the unique constraints of AI-IoT systems, including limited computational resources, diverse device ecosystems, and real-time processing requirements.
- These technologies go beyond traditional rule-based systems by identifying novel patterns of malicious activity, allowing organisations to respond dynamically.
- The surge in identity attacks and rising account takeover costs drives MFA adoption.
Ouyang et al. footnote 118 present a more complex set of use cases, with a framework to enable multi-brain, multi-robot co-operation, citing use cases such as co-creation, manufacturing, and immersive technologies such as the metaverse. Meng et al. footnote 117 expand this use case to include exoskeletons – potential augmenting the capabilities of individuals with musculoskeletal issues, or motorised wheelchairs controlled by BCI interfaces. Patel et al. footnote 116 explains that BCIs enable intuitive and natural control of robots by decoding motor intentions from neural signals. A critical element of robotics is the human-machine interface, which plays a pivotal role in controlling robotic systems. This includes fostering interdisciplinary collaboration, developing standardised security frameworks, and prioritising stakeholder education to ensure comprehensive protection. These solutions collectively ensure that the benefits of edge computing and IoT synergy are realised without compromising system security.
They highlight the the IOB (Internet of Bodies) creates new vulnerabilities by expanding the attack surface, and opens the potential for loss of sensitive personal details, or https://www.yaldex.com/Bestsoft/Utilities/universal_shield.htm manipulation of devices, both of which could have dire consequences in a military or civilian context. The method used to identify widely discussed pairings have unintentionally generated false positives, where on closer review the results did not focus on the intersection with cyber security. The search for Artificial Intelligence converging with Quantum Sensing resulted in very limited results, with Bonab et al. footnote 125 highlighting that quantum sensors could provide high quality data to enable the training of AI.
ZBeta Launches Drone and Robotics Security Consulting Program
However, the synergy introduces vulnerabilities, such as an expanded attack surface and risks of adversarial attacks on AI systems. For example, systems like NVIDIA Clara and Medtronic’s connected insulin pumps use AI algorithms to process data from https://texas-news.com/fintech-regulatory-compliance-audit-protocols.html IoT devices for anomaly detection and predictive maintenance, or brain-computer interfaces allowing better control of prosthetic devices. However, their application varies depending on the industry, technological compatibility, and cyber security requirements. A central theme throughout this exploration has been the implications for cyber security — a critical area where these technological convergences both enhance defences and introduce new vulnerabilities. Table 3 illustrates the cyber security risks across the different industries, emphasising vulnerabilities introduced by the various technological synergies. The transportation sector is undergoing a technological transformation driven by the convergence of AI, IoT, Edge Computing, and Digital Twins, enabling advancements such as autonomous vehicles, smart traffic management, and real-time logistics.
Increase in Data Breaches and Ransomware Attacks
In this report we conduct a systematic review to illuminate the converged technology pairings and groupings most pertinent to cyber security concerns. However, we also see security benefits from convergence – the combination of Machine Learning (ML) and threat detection has significantly advanced cyber security capabilities. The Stuxnet worm in 2010, which targeted Iranian nuclear facilities, demonstrated how convergence could enable targeted attacks on critical systems. For instance, the merging of mobile devices with the Internet of Things (IoT) expanded the attack surface dramatically.
This convergence creates unique security risks, where cyberattacks not only heighten the risks of data breaches but can disrupt essential services, jeopardising safety and trust in these systems. While the synergy between edge computing and IoT enhances cyber security by decentralising data processing, it also introduces new risks. Though quantum communications and IoT are distinct technologies, their convergence offers potential to enhance data security and operational capabilities of IoT.
- Despite identifying 18 relevant resources on AI and personalised medicine, none explicitly examined the cyber security implications of integrating these technologies.
- Robotics combines principles from engineering, computer science, and artificial intelligence to develop systems that replicate or enhance human capabilities.
- The study highlights the use of tiny, biocompatible, and non-intrusive devices that sense biological signals from the environment and transmit this data to centralised processing facilities via the Internet.
- CrowdStrike’s Falcon XDR provides unified threat detection across the enterprise, while Cisco’s SecureX platform offers comprehensive network and endpoint visibility.
The platform further enforces zero trust policies across SaaS, on-premise, desktop applications, servers, and network devices, including access from BYOD and unmanaged endpoints. Indian startup Zaperon offers an identity-centric security service edge (SSE) platform that provides passwordless authentication and modern access control for enterprises. Microsoft Entra expands enterprise passkey support to strengthen identity protection across organizations. The surge in identity attacks and rising account takeover costs drives MFA adoption.
Expansion of the Connected Device Attack Surface
See how a modern access control system can improve security and simplify operations. Kisi makes it easier for companies using legacy tech to migrate to a cloud-based access control system by offering tailored deployment options to meet your needs. In the past, some companies with established on-premise security systems may have been hesitant to switch to a cloud-based system. We’re continuing to see companies move away from on-premise solutions — according to Flexera, 92% of companies now have systems running in the cloud. Tenant companies may have different tools in place for access control, so building landlords will need an access control solution that works with each of these tools — and their own main building access system.
Yes, individual users are frequent targets because they’re often less protected. With AI now being used to craft more personalized and believable messages, even tech-savvy users can be fooled. Its products use behavioral detection technology that looks beyond known virus signatures to catch threats as they happen. If you’re http://articlesss.com/greater-customer-data-protection-by-using-cisco-access-control-server/ a small business owner (or know one), this can have devastating effects on your business. In the future, we could see significant growth in cybercriminals exploiting integrated chatbots in HR systems.
Additionally, DNA-based cryptography offers a groundbreaking approach to secure data in nanoscale environments, leveraging the molecular properties of DNA to overcome the limitations of traditional cryptographic methods. This interface enables critical functionalities such as real-time monitoring, data processing, and control of embedded nanoscale devices. To overcome these limitations, a hybrid Bio-Cyber Interface is employed, serving as a bridge between biochemical signals within the human body and electromagnetic signals for external processing, as outlined by Zafar et al. footnote 121. Patel et al. footnote 116 assess how various machine learning algorithms affects the accuracy of the system. Real time robotic control can be augmented through hybrid BCI models, combining both EEG and EMG control to reach higher accuracy rates. This is where BCIs converge with robotics, with the potential to enable innovative applications, better control of robots, and human-robot co-operation, expanding the use of each technology.