How can artificial intelligence help improve cyber security systems and techniques in online and mobile banking?
In recent years, technologies that play an important role in the field of Industry 4.0, technologies that determine the current fourth technological revolution, including machine learning technologies, deep learning and artificial intelligence are finding their way into improving cyber security systems. Financial institutions, including commercial banks, are implementing a certain generation of artificial intelligence technologies into specific areas of banking in order to increase process efficiency, economic efficiency, etc. Artificial intelligence is already being used by banks to improve remote communication processes with customers, in call centre departments as part of the creation of automated remote communication systems and digitised adviser avatars, in the process of managing credit risk and other risk categories, and also in the area of cyber-security.Therefore, opportunities are emerging for the application of artificial intelligence technologies in improving cyber-security techniques and systems in various areas of cyber-security in online and mobile banking, including issues such as:
1. improving cyber-security techniques to protect the information systems of financial institutions, including banks, from external cyber-attacks via email and ransomware viruses.
2. improving cybercrime risk management systems for integrated internal information systems connected to the Internet.
3. Improving cyber security techniques implemented through the implementation of new Industry 4.0 technologies, including artificial intelligence, machine learning, Blockchain, multi-criteria simulation models, etc., and advanced analytical techniques such as Big Data Analytics, Business Intelligence.
4. improving the anti-spam systems used to protect email inboxes in order to increase the filtering out of emails where cybercriminals use phishing techniques and/or send malware and ransomware viruses in the background of the email.
5. Improving cyber-security techniques for online and mobile banking systems with a particular focus on mobile banking implemented on the bank's customer side using smartphones equipped with specific operating systems and web applications.
6. Analysis of the level of effectiveness and cyber security for biometric techniques for encoding access to information systems as an important factor in cyber security.
7. perfecting cyber-security techniques in integrated, internal, intranet information systems operating in financial institutions, including commercial banks characterised by a complex organisational structure and companies forming interconnected business entities.
In view of the above, financial institutions, including commercial banks, are implementing a certain generation of artificial intelligence technologies in various areas of banking, including in the improvement of cyber-security techniques and systems.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can artificial intelligence help improve cyber-security systems and techniques in online and mobile banking?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
Dear Dariusz Prokopowicz ,
AI uses machine learning and deep learning to recognize patterns on the network and cluster them, it will then detect deviations or security incidents from the norm before responding to them. These patterns can help to improve security in the future. Similar potential threats can be detected and blocked early enough.
https://www.balbix.com/insights/artificial-intelligence-in-cybersecurity/
Regards,
Shafagat
I'm not convinced it can, by itself. If it could improve, there'd be no spam in my inbox and no malicious threats inbound in my organization's exchange servers. Many organizations cannot even prevent sensitive documents from leaving (leaking) when a simple solution (block attachments) already exists.
AI has the potential to significantly improve cyber security systems and techniques in several ways. My response has a focus on special themes such as convergence, collaboration and improved threat models.
One of the major challenges in cyber security is managing and integrating various security tools and technologies. AI can help by providing a unified security platform that integrates various security technologies and automates security operations. This is a challenge of convergence. Please see my Ph.D. "Thesis on Safety and Security in OT, Towards a Holistic Convergence Model".
In terms of collaboration, AI can help improve collaboration between security teams and enhance their ability to share threat intelligence. This can help organizations to respond more quickly to security incidents and reduce the impact of cyber attacks. Please see paper on "The Impact of Uncertified Practitioners on the Safety and Security of Critical Infrastructure Projects and Operations in the Operational Technology Domain".
In the context of improved threat models, AI can help improve threat models by analyzing vast amounts of data and identifying patterns that are not easily discernible by humans. This can help organizations to proactively detect and prevent cyber attacks. Please see paper on "The role of Artificial Intelligence in predicting and preventing cyber-attacks in critical infrastructure" and "IT Consultancy and AI as a contemporary tool: Facilitating customers in achieving Convergence and Operational Excellence".
Further, AI can support automated threat detection and response. AI can be used to automate threat detection and response, allowing security teams to respond more quickly to security incidents. For example, AI-powered security systems can analyze network traffic to detect anomalous behavior and automatically block traffic from known malicious sources.
Finally, advanced threat hunting enabled by AI is the future. AI can be used to identify new and emerging threats by analyzing vast amounts of data and identifying patterns that may indicate malicious activity. This can help organizations to stay ahead of cyber criminals and proactively identify potential security threats before they can cause damage.
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Machine Learning will certainly be able to support cyber security systems and techniques, as it is a superior way to store knowledge in a manifold of weights, rather than store structured data in a database. Cyber security is an unstructured-information game at which neural nets excel.
Microsoft has announced the upcoming availability of a new artificial intelligence (AI) capability within its cyber security offering that it claims it will “dramatically increase the reach, speed and effectiveness” of its customers’ security teams.
The latest fruition of Microsoft’s multibillion-dollar bet on OpenAI’s ChatGPT, and currently available to some customers through a private preview, the Security Copilot feature has been trained across trillions of networking and security data points, blending Microsoft’s massive threat intelligence footprint with cutting-edge security expertise...
https://www.computerweekly.com/news/365534001/Microsoft-expands-AI-Copilot-project-into-security-realm?utm_campaign=20230405_Generative+AI+central+to+Accenture%E2%80%99s+tech+vision&utm_medium=email&utm_source=MDN&source_ad_id=365534001&asrc=EM_MDN_264453839&bt_ee=6b629VD5CyYF59yd5MmBo3JbvnzEsfzMOJzMdYnYV3WIBSrtiAbmgOWD3WlkM75giPZiGOU653FAGy65h6Ki8w%3D%3D&bt_ts=1680694311800
It will continue... just my observation that putting "AI" into the mix just changes the type of computer gaming/conflict/arms race. AI may just speed up the rate of change on both sides of the eternal equation. IF "AI" has such great potential, maybe it should be directed at solving the problems of human conflict in the first place. What would AI recommend as actions from the rest of the world to any particular regime?
1. AI can help detect and respond to cyber threats more quickly and accurately than humans. With AI, security teams can be alerted to suspicious activities earlier and can take preventative actions before any damage can be done. 2. AI can be used to enhance the accuracy of malware detection and prevention. By leveraging AI algorithms, security teams can quickly identify malicious files and take action to block them before they can cause damage. 3. AI can be used to identify anomalous user behavior and detect insider threats. By analyzing user activity, AI systems can detect unusual behavior and alert security teams to investigate further. 4. AI can be used to improve password security. AI algorithms can be used to detect weak passwords and alert users to create stronger ones. 5. AI can be used to automate the process of patching and updating software. AI systems can detect when software needs to be updated and can perform the task autonomously, freeing up IT staff for other tasks.
Artificial Intelligence (AI) can help improve cyber security systems and techniques in several ways:
Overall, AI can help improve cyber security systems and techniques by providing faster and more accurate threat detection, reducing the risk of human error, and automating routine security tasks.
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https://www.computerweekly.com/ezine/Computer-Weekly/The-ethics-of-military-AI?utm_campaign=20230504_US+competition+watchdog+issues+generative+AI+warning&utm_medium=email&utm_source=MDN&source_ad_id=366536312&asrc=EM_MDN_266687393&bt_ee=i%2FxBeJwAiDYracROS3s6HPvP1EXzmQvCECQnMhrAwCPFJAJHiMonkTHKvTguHV8fMBXSmMTo2mwNsv5uoWVFaA%3D%3D&bt_ts=1683198397709
Artificial intelligence (AI) has the potential to significantly enhance cybersecurity systems and techniques in several ways:
Overall, the use of AI in cybersecurity systems can enhance threat detection and response, improve the accuracy of vulnerability assessments, and increase the effectiveness of fraud detection. However, it's important to note that AI-powered systems are not infallible and can be vulnerable to attacks themselves, so it's critical to maintain a robust cybersecurity posture and have human oversight of these systems.
2022 ICS/OT Cybersecurity Year in Review
The annual Dragos ICS/OT Cybersecurity Year in Review Report is the most comprehensive source for the latest cyber threat intelligence, vulnerabilities, and lessons learned from incident responders in the field...
WHAT’S INSIDE
- Updates on cyber threat activity, including two new threat groups
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- Industry benchmarks to assess your cybersecurity posture...
https://www.smartindustry.com/home/whitepaper/33001680/2022-icsot-cybersecurity-year-in-review?pk=personifai_manufacturing_SI_q1_em_05022023&utm_source=SIND+Sponsor+Paid+Promos&utm_medium=email&utm_campaign=CPS230502080&o_eid=4175B5775701D0Y&rdx.ident[pull]=omeda|4175B5775701D0Y&oly_enc_id=4175B5775701D0Y
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https://cybersecurity.endeavorb2b.com/how-to-secure-your-ot-environments-from-ransomware/
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https://www.computerweekly.com/opinion/Generative-AI-the-next-biggest-cyber-security-threat?utm_campaign=20230608_UKtech50+2023%3A+The+most+influential+people+in+UK+technology&utm_medium=email&utm_source=MDN&source_ad_id=366538869&asrc=EM_MDN_269430103&bt_ee=6Zh88%2FTRTIDxyk%2FzzEEK9cIyCN4P54dXAcofBf0JuW1pU38Hsstc2PmNH8aI%2FoGwv08FpK1G0S796z8QSw61hw%3D%3D&bt_ts=1686221443935
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https://www.techrepublic.com/article/ai-vs-ai-phishing-wars/
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https://www.techrepublic.com/article/generative-ai-cloud-security/
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https://www.computerweekly.com/news/366542890/Shadow-AI-use-becoming-a-driver-of-insider-cyber-risk?utm_campaign=20230630_%E2%80%98Shadow%E2%80%99+AI+use+becoming+a+driver+of+insider+cyber+risk&utm_medium=email&utm_source=MDN&source_ad_id=366542890&asrc=EM_MDN_271123792&bt_ee=kuOYyWL2o6%2BVR0Lmh5p3dHxo7f2MkG5jYPLoLlJjVU4sU20hhJ3VIO9Gi9Sf8V3mf19tj%2F9UE%2Br%2BRK7WDNWT%2Bw%3D%3D&bt_ts=1688293667848
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https://gca.isa.org/blog/use-ai-to-automate-threat-hunting-and-analysis
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