Leveraging Generative AI for an Ethical and Adaptive Cybersecurity Framework in Enterprise Environments

References

[1] A Complete Guide to Ethics in Cyber Security. (2023, August 23). Retrieved from https://www.elev8me.com/insights/guide-to-ethics-in-cyber-security

[2] AL-Hawamleh, A. M. (2024). Securing the Future: Framework Fundamentals for Cyber Resilience in Advancing Organizations. Journal of System and Management Sciences, 14(10), 130-150. https://www.aasmr.org/jsms/onlinefirst/Vol14/No.10/Vol.14.No.10.08.pdf.

[3] Ali, R., & Acimovic, A. (2023). AI-Driven Cybersecurity: Leveraging IoT and Evolutionary Algorithms for Adaptive Threat Detection in Future Networks. https://www.researchgate.net/profile/Alexandra-Acimovic-3/publication/384052242_AI-Driven_Cybersecurity_Leveraging_IoT_and_Evolutionary_Algorithms_for_Adaptive_Threat_Detection_in_Future_Networks/links/66e6b5c0f84dd1716cf13d1b/AI-Driven-Cybersecurity-Leveraging-IoT-and-Evolutionary-Algorithms-for-Adaptive-Threat-Detection-in-Future-Networks.pdf.

[4] Almagrabi, A. O., & Khan, R. A. (2024). We are optimizing Secure AI Lifecycle Model Management with Innovative Generative AI Strategies. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10742321/.

[5] Alzboon, M. S., Bader, A. F., Abuashour, A., Alqaraleh, M. K., Zaqaibeh, B., & Al-Batah, M. (2023, November). The Two Sides of AI in Cybersecurity: Opportunities and Challenges. In 2023 International Conference on Intelligent Computing and Next Generation Networks (ICNGN) (pp. 1-9). IEEE. https://ieeexplore.ieee.org/abstract/document/10396670/.

[6] Andreoni, M., Lunardi, W. T., Lawton, G., & Thakkar, S. (2024). We are enhancing autonomous system security and resilience with generative AI: A comprehensive survey. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10623653/.

[7] Aslam, R., & Rasheed, H. (2023). Integrating AI, Cloud Computing, and IoT for Robust Cybersecurity Ecosystems and Adaptive Threat Mitigation. https://www.researchgate.net/profile/Haida-Rasheed/publication/384052326_Integrating_AI_Cloud_Computing_and_IoT_for_Robust_Cybersecurity_Ecosystems_and_Adaptive_Threat_Mitigation/links/66e6b2c6f84dd1716cf13cd3/Integrating-AI-Cloud-Computing-and-IoT-for-Robust-Cybersecurity-Ecosystems-and-Adaptive-Threat-Mitigation.pdf.

[8] Babu, C. S. (2024). Adaptive AI for Dynamic Cybersecurity Systems: Enhancing Protection in a Rapidly Evolving Digital Landscape. In Principles and Applications of Adaptive Artificial Intelligence (pp. 52–72). IGI Global. https://www.igi-global.com/chapter/adaptive-ai-for-dynamic-cybersecurity-systems/337688.

[9] Balantrapu, S. S. (2020). AI-Driven Cybersecurity Solutions: Case Studies and Applications. International Journal of Creative Research In Computer Technology and Design, 2(2). https://jrctd.in/index.php/IJRCTD/article/view/69.

[10] Banala, S. (2024). The Future of IT Operations: Harnessing Cloud Automation for Enhanced Efficiency and The Role of Generative AI Operational Excellence. International Journal of Machine Learning and Artificial Intelligence, 5(5), 1–15. https://jmlai.in/index.php/ijmlai/article/view/42.

[11] Buczak, A. L., & Guven, E. (2015). A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Communications surveys & tutorials, 18(2), 1153-1176. https://ieeexplore.ieee.org/abstract/document/7307098/.

[12] Camacho, N. G. (2024). The Role of AI in Cybersecurity: Addressing Threats in the Digital Age. Journal of Artificial Intelligence General Science (JAIGS) ISSN: 3006-4023, 3(1), 143-154. https://ojs.boulibrary.com/index.php/JAIGS/article/view/75.

[13] CGEMs: A Metric Model for Automatic Code Generation Using GPT-3. Narasimhan, A. (2021, August 23).

[14] Chahal, S. (2023). AI-Enhanced Cyber Incident Response and Recovery. International Journal of Science and Research, 12(3), 1795-1801. https://www.researchgate.net/profile/Sunil-Chahal/publication/374605751_AI-Enhanced_Cyber_Incident_Response_and_Recovery/links/655ca6dfce88b87031fd408f/AI-Enhanced-Cyber-Incident-Response-and-Recovery.pdf.

[15] CrowdStrike. (n.d.). What Is Continuous Monitoring? - CrowdStrike. Retrieved February 9, 2024, from https://www.crowdstrike.com/cybersecurity-101/observability/continuous-monitoring/

[16] Cyber Attribution: Essential Component of Incident Response. Tannery, C. (2018, July 20). Exabeam. Retrieved from https://www.exabeam.com/incident-response/cyber-attribution-essential-component-of-incident-response-or-optional-extra/

[17] Cybersecurity Enterprises Policies: A Comparative Study. Mishra, A., Alzoubi, Y. I., Gill, A. Q., & Anwar, M. J. (2022, January 11). Sensors, 22(2), 538. https://doi.org/10.3390/s22020538

[18] Cybersecurity Ethics: An Introduction. Manjikian, M. (2017). Routledge. https://doi.org/10.4324/9781315196275

[19] Definition of Identity and Access Management (IAM) - Gartner Information Technology Glossary. Gartner. (n.d.). Retrieved February 9, 2024, from https://www.gartner.com/en/information-technology/glossary/identity-and-access-management-iam

[20] Dhoni, P., & Kumar, R. (2023). Synergizing generative AI and cybersecurity: Roles of generative AI entities, companies, agencies, and government in enhancing cybersecurity. Authorea Preprints. https://www.techrxiv.org/doi/full/10.36227/techrxiv.23968809.v1.

[21] Egbuna, O. P. (2021). The Impact of AI on Cybersecurity: Emerging Threats and Solutions. Journal of Science & Technology, 2(2), 43-67. https://thesciencebrigade.com/jst/article/view/232.

[22] Erendor, M. E. (Ed.). (2024). Cyber Security in the Age of Artificial Intelligence and Autonomous Weapons. CRC Press. https://books.google.com/books?hl=en&lr=&id=Hi0mEQAAQBAJ&oi=fnd&pg=PA1991&dq=++++Kumar,+R.,+%26+Gupta,+P.+(2021).+Artificial+intelligence+in+cybersecurity:+Ethics,+applications,+and+challenges.+Journal+of+Cybersecurity+Research+and+Development,+5(3),+113123.+(Relevant+to+the+ethical+aspects+of+generative+AI.)&ots=U8rs_u7jdZ&sig=mn67TcnaOG2l0B0kDpG5SG5XrOc.

[23] Familoni, B. T. (2024). Cybersecurity challenges in the age of AI: theoretical approaches and practical solutions. Computer Science & IT Research Journal, 5(3), 703-724. https://fepbl.com/index.php/csitrj/article/view/930.

[24] Floridi, L., & Taddeo, M. (2016). What is data ethics? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160360. https://royalsocietypublishing.org/doi/abs/10.1098/rsta.2016.0360.

[25] George, A. S. (2024). Emerging Trends in AI-Driven Cybersecurity: An In-Depth Analysis. Partners Universal Innovative Research Publication, 2(4), 15–28. https://puirp.com/index.php/research/article/view/65.

[26] Giannaros, A., Karras, A., Theodorakopoulos, L., Karras, C., Kranias, P., Schizas, N., ... & Tsolis, D. (2023). Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions. Journal of Cybersecurity and Privacy, 3(3), 493-543. https://www.mdpi.com/2624-800X/3/3/25.

[27] Gizzarelli, E. (2024). Honeypot and Generative AI (Doctoral dissertation, Politecnico di Torino). https://webthesis.biblio.polito.it/33140/.

[28] Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets. Advances in neural information processing systems, 27. https://proceedings.neurips.cc/paper/5423-generative-adversarial-nets.

[29] Goswami, M. J. (2019). Utilizing AI for Automated Vulnerability Assessment and Patch Management. No. November, 2019. https://www.researchgate.net/profile/Maloy-Jyoti-Goswami-2/publication/381319224_Utilizing_AI_for_Automated_Vulnerability_Assessment_and_Patch_Management/links/666913f5b769e769192d006b/Utilizing-AI-for-Automated-Vulnerability-Assessment-and-Patch-Management.pdf.

[30] Haider, D., & David, J. (2024). Building Smarter Cybersecurity Frameworks: The Role of AI, Data Pipelines, and Machine Learning in Infrastructure Protection. https://www.researchgate.net/profile/Jameson-David/publication/385553082_Building_Smarter_Cybersecurity_Frameworks_The_Role_of_AI_Data_Pipelines_and_Machine_Learning_in_Infrastructure_Protection/links/672a17d677f274616d5ec902/Building-Smarter-Cybersecurity-Frameworks-The-Role-of-AI-Data-Pipelines-and-Machine-Learning-in-Infrastructure-Protection.pdf.

[31] Hoang, H. (2024). Generative AI Security. https://link.springer.com/content/pdf/10.1007/978-3-031-54252-7.pdf.

[32] Huang, K., Ponnapalli, J., Tantsura, J., & Shin, K. T. (2024). I was navigating the GenAI Security Landscape. In Generative AI Security: Theories and Practices (pp. 31-58). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-54252-7_2.

[33] I am understanding Enterprise Cybersecurity. ID Technologies. (n.d.). Retrieved from https://www.idtec.com/understanding-enterprise-cybersecurity

[34] IBM Research Blog. (2021, February 9). What Is Generative AI? Retrieved from https://research.ibm.com/blog/what-is-generative-AI

[35] Integrating Cybersecurity and Enterprise Risk Management (ERM). Stine, K., Quinn, S., Witte, G., & Gardner, R. K. (2020, October 13). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8286

[36] Islam, M. R. (2024). Generative AI, Cybersecurity, and Ethics. John Wiley & Sons. https://books.google.co.uk/books?hl=en&lr=&id=p8IzEQAAQBAJ&oi=fnd&pg=PP26&dq=+Leveraging+Generative+AI+for+an+Ethical+and+Adaptive+Cybersecurity+Framework+in+Enterprise+Environments&ots=d0RKlO1nXR&sig=1nv6Shby-ud3BPfT-qPOQnqGgaE.

[37] Katiforis, S. (2024). Synchronized Coevolution: A Conceptual Framework For Sustaining a Human-Centered Security Culture in AI-Driven Environments. https://www.theseus.fi/bitstream/handle/10024/868133/Katiforis_Spiros.pdf?sequence=2.

[38] Katiforis, S. (2024). Synchronized Coevolution: A Conceptual Framework For Sustaining a Human-Centered Security Culture in AI-Driven Environments. https://www.theseus.fi/bitstream/handle/10024/868133/Katiforis_Spiros.pdf?sequence=2.

[39] King, N. J., & Raja, V. T. (2012). Protecting the privacy and security of sensitive customer data in the cloud. Computer Law & Security Review, 28(3), 308-319. https://www.sciencedirect.com/science/article/pii/S0267364912000556.

[40] Krishnamurthy, O. (2024). Impact of Generative AI in Cybersecurity and Privacy. International Journal of Advances in Engineering Research, pp. 27, 26–38. https://ijaer.com/admin/upload/04%20Oku%20Krishnamurthy%2001436.pdf.

[41] Kumar, A., & Kumar, L. (2024). Navigating the Future: Artificial Intelligence's Ethical, Societal and Technological Implications. Journal homepage: https://gjrpublication. com/gjrecs, 4(02). https://www.researchgate.net/profile/Gjr-Publication-3/publication/379778846_Navigating_the_Future_The_Ethical_Societal_and_Technological_Implications_of_Artificial_Intelligence/links/66197fd643f8df018dfd541c/Navigating-the-Future-The-Ethical-Societal-and-Technological-Implications-of-Artificial-Intelligence.pdf.

[42] Kwiatkowska, M., Norman, G., & Parker, D. (2022). Probabilistic model checking and autonomy. Annual review of control, robotics, and autonomous systems, 5(1), 385-410. https://www.annualreviews.org/content/journals/10.1146/annurev-control-042820-010947.

[43] Mohammed, S. H., Al-Jumaily, A., Singh, M. J., Jiménez, V. P. G., Jaber, A. S., Hussein, Y. S., ... & Al-Jumeily, D. (2024). Evaluation feature selection using machine learning for cyber-attack detection in smart grid. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10452322/.

[44] NKOMO, N., & MUPA, M. N. Marketing Return On Investment: A Comparative Study of Traditional and Modern Models. https://www.researchgate.net/profile/Munashe-Naphtali-Mupa/publication/386135081_Marketing_Return_On_Investment_A_Comparative_Study_of_Traditional_and_Modern_Models/links/6745ad44f309a268c00ddba7/Marketing-Return-On-Investment-A-Comparative-Study-of-Traditional-and-Modern-Models.pdf.

[45] Nobles, C. (2023). Offensive artificial intelligence in cybersecurity: techniques, challenges, and ethical considerations. In Real-world solutions for diversity, strategic change, and organizational development: perspectives in healthcare, education, business, and technology (pp. 348-363). IGI Global. https://www.igi-global.com/chapter/offensive-artificial-intelligence-in-cybersecurity/330304.

[46] Protect Intellectual Property. (2023, December 31). Retrieved from https://www.trade.gov/protect-intellectual-property

[47] Rajaram, K., & Tinguely, P. N. (2024). Generative artificial intelligence in small and medium enterprises: Navigating its promises and challenges. Business Horizons. https://www.sciencedirect.com/science/article/pii/S0007681324000685.

[48] Raji, I. D., & Buolamwini, J. (2019, January). Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial AI products. In Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society (pp. 429–435). https://dl.acm.org/doi/abs/10.1145/3306618.3314244.

[49] Rangaraju, S. (2023). Ai sentry: Reinventing cybersecurity through intelligent threat detection. EPH-International Journal of Science And Engineering, 9(3), 30-35. http://ephijse.com/index.php/SE/article/view/211.

[50] Risk Management for the Future: Theory and Cases. Emblemsvåg, J. (2012). BoD – Books on Demand.

[51] Roshanaei, M., Khan, M. R., & Sylvester, N. N. (2024). Navigating AI cybersecurity: evolving landscape and challenges. Journal of Intelligent Learning Systems and Applications, 16(3), 155-174. https://www.scirp.org/journal/paperinformation?paperid=133870.

[52] Saeed, M. M., & Alsharidah, M. (2024). Security, privacy, and robustness for trustworthy AI systems: A review. Computers and Electrical Engineering, p. 119, 109643. https://www.sciencedirect.com/science/article/pii/S0045790624005706.

[53] Saranya, V. (2024). Leveraging Artificial Intelligence for Cybersecurity: Implementation, Challenges, and Future Directions. Machine Learning and Cryptographic Solutions for Data Protection and Network Security, pp. 29–43. https://www.igi-global.com/chapter/leveraging-artificial-intelligence-for-cybersecurity/348600.

[54] Sarker, I. H. (2024). Generative AI and Large Language Modeling in Cybersecurity. In AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability (pp. 79-99). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-54497-2_5.

[55] Sarker, I. H. (2024). Introduction to AI-Driven Cybersecurity and Threat Intelligence. In AI-Driven Cybersecurity and Threat Intelligence: Cyber Automation, Intelligent Decision-Making and Explainability (pp. 3-19). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-54497-2_1.

[56] Schoenherr, F. J. R., & Thomson, R. (2022). Ethical frameworks for cybersecurity: Applications for human and artificial agents. In The Frontlines of Artificial Intelligence Ethics (pp. 141-161). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9781003030928-12/ethical-frameworks-cybersecurity-jordan-richard-schoenherr-robert-thomson.

[57] Shabtai, A., Elovici, Y., Rokach, L., Shabtai, A., Elovici, Y., & Rokach, L. (2012). Data leakage detection/prevention solutions (pp. 17-37). Springer US. https://link.springer.com/chapter/10.1007/978-1-4614-2053-8_4.

[58] Sontan, A. D., & Samuel, S. V. (2024). The intersection of Artificial Intelligence and cybersecurity: Challenges and opportunities. World Journal of Advanced Research and Reviews, 21(2), 1720-1736.

[59] Sontan, A. D., & Samuel, S. V. (2024). The intersection of Artificial Intelligence and cybersecurity: Challenges and opportunities. World Journal of Advanced Research and Reviews, 21(2), 1720-1736.

[60] Sood, A. (2024). Combating Threats and Attacks Targeting The AI Ecosystem. Walter de Gruyter GmbH & Co KG. https://books.google.co.uk/books?hl=en&lr=&id=sM0uEQAAQBAJ&oi=fnd&pg=PR1&dq=+Leveraging+Generative+AI+for+an+Ethical+and+Adaptive+Cybersecurity+Framework+in+Enterprise+Environments&ots=wDQgT0xeL4&sig=QmGYSPRGzkV6jQczc0rNExi-p4k.

[61] Taddeo, M., & Floridi, L. (2018). How AI can be a force for good. Science, 361(6404), 751-752. https://www.science.org/doi/abs/10.1126/science.aat5991.

[62] Tailoring of Cyber Security Technology Adoption Practices for Operational Adoption in Complex Organizations. Emmanuel-Avina, G., Gordon, S., Kittinger, R., Lakkaraju, K., & McCann, I. (2017, June 1). https://doi.org/10.2172/1596209

[63] Umar, H., & Marchant, R. (2023). Effective Response to Data Breaches: AI-Assisted Solutions for Modern Enterprises. https://www.researchgate.net/profile/Robert-Marchant-3/publication/384227098_Effective_Response_to_Data_Breaches_AI-Assisted_Solutions_for_Modern_Enterprises/links/66eed7b76b101f6fa4fac1fe/Effective-Response-to-Data-Breaches-AI-Assisted-Solutions-for-Modern-Enterprises.pdf.

[64] Varney, A. (2019). Analysis of the impact of artificial intelligence on cybersecurity and protected digital ecosystems (Master's thesis, Utica College). https://search.proquest.com/openview/d7e0d5f2f65fd6af9da7f93971cc0782/1?pq-origsite=gscholar&cbl=18750&diss=y.

[65] Vegesna, V. V. (2023). Enhancing cyber resilience by integrating AI-driven threat detection and mitigation strategies. Transactions on Latest Trends in Artificial Intelligence, 4(4). https://ijsdcs.com/index.php/TLAI/article/view/396.

[66] What Is Adaptive Security? Forcepoint. (2018, August 9). Retrieved from https://www.forcepoint.com/cyber-edu/adaptive-security

[67] What Is an Adaptive Security Policy? | Juniper Networks US. Juniper Networks. (n.d.). Retrieved from https://www.juniper.net/us/en/research-topics/what-is-adaptive-security-policy.html

[68] What Is Encryption and How Does It Work? Google Cloud. (n.d.). Retrieved from https://cloud.google.com/learn/what-is-encryption

[69] What Is Incident Response? (Definition & 6 Steps to Take). (n.d.). Retrieved from https://www.digitalguardian.com/blog/what-incident-response

[70] Yaseen, A. (2023). AI-driven threat detection and response: A paradigm shift in cybersecurity. International Journal of Information and Cybersecurity, 7(12), 25–43. https://publications.dlpress.org/index.php/ijic/article/view/73.

[71] Yuhan, N., & Hamilton, J. (2024). Strengthening SMEs through Cybersecurity and AI: A Path to Operational Excellence. https://www.researchgate.net/profile/Jenson-Hamilton/publication/384443733_Strengthening_SMEs_through_Cybersecurity_and_AI_A_Path_to_Operational_Excellence/links/66f9628c906bca2ac3d3ffbf/Strengthening-SMEs-through-Cybersecurity-and-AI-A-Path-to-Operational-Excellence.pdf.

[72] Zahid, S., & Harrison, E. (2022). Responding to Cybersecurity Breaches: Leveraging AI for Swift and Effective Recovery. https://www.researchgate.net/profile/Edward-Harrison-3/publication/384225475_Responding_to_Cybersecurity_Breaches_Leveraging_AI_for_Swift_and_Effective_Recovery/links/66eea324fc6cc464896aee14/Responding-to-Cybersecurity-Breaches-Leveraging-AI-for-Swift-and-Effective-Recovery.pdf.

@article{1706753,
      author = {Eliel Kundai Zhuwankinyu, Tamuka Mavenge Moyo, Munashe Naphtali Mupa},
      title = {Leveraging Generative AI for an Ethical and Adaptive Cybersecurity Framework in Enterprise Environments},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {6},
      pages = {654-675},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706753.pdf},
      abstract = {Technological advancements have made it imperative for enterprises to spend billions of dollars to build in-house technologies that can offer better services, maintain competitiveness in the market, and offer efficient solutions. Among the key milestones in this field, it is possible to distinguish the creation and implementation of Generative Artificial Intelligence (Gen AI). Even though many enterprises have not advanced far with Gen AI, the possibility of combining it with service delivery and improving efficiency is apparent. However, with this potential comes the challenge of cybersecurity, a complex and ever-shifting threat to organizations in all sectors. These sophisticated technologies, such as generative AI, must be embraced for enterprises to adapt to the dynamic threat landscape and effectively protect themselves. The following paper illustrates how enterprises may leverage Gen AI to create an adaptive security policy that defends against threats and situates them best in future cyber threats.},
      keywords = {Information Security Policy, Cyber Threats, Generative AI},
      month = {December},
  }