AI and Cybersecurity: Defending Against Evolving Threats in the Digital Age
Abstract
This research paper explores the intersection of artificial intelligence (AI) and cybersecurity, focusing on the role of AI in defending against evolving cyber threats in the digital age. It examines how AI technologies such as machine learning, anomaly detection, and predictive analytics are reshaping cybersecurity strategies and capabilities. The paper discusses the potential of AI to enhance threat detection, incident response, and vulnerability management in the face of sophisticated cyberattacks. By analyzing recent developments and emerging trends, this paper provides insights into the evolving landscape of AI-powered cybersecurity and the challenges and opportunities it presents.
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References
Yalamati, Sreedhar. "Enhance banking systems to digitalize using advanced artificial intelligence techniques in emerging markets." International Scientific Journal for Research 5.5 (2023): 1-24.
Yalamati, S. (2023). Revolutionizing Digital Banking: Unleashing the Power of Artificial Intelligence for Enhanced Customer Acquisition, Retention, and Engagement. International Journal of Managment Education for Sustainable Development, 6(6), 1-20.
Yalamati, S. (2023). Identify fraud detection in corporate tax using Artificial Intelligence advancements. International Journal of Machine Learning for Sustainable Development, 5(2), 1-15.
Yalamati, S. (2023). Artificial Intelligence influence in individual investors performance for capital gains in the stock market. International Scientific Journal for Research, 5(5), 1-24.
Palakurti, N. R. (2023). Next-Generation Decision Support: Harnessing AI and ML within BRMS Frameworks. International Journal of Creative Research In Computer Technology and Design, 5(5), 1-10.
Palakurti, N. R. (2022). Empowering Rules Engines: AI and ML Enhancements in BRMS for Agile Business Strategies. International Journal of Sustainable Development Through AI, ML and IoT, 1(2), 1-20.
Gutta, L. M. (2024). A Systematic Review of Cloud Architectural Approaches for Optimizing Total Cost of Ownership and Resource Utilization While Enabling High Service Availability and Rapid Elasticity. International Journal of Statistical Computation and Simulation, 16(1), 1-20.
Gutta, L. M., Bammidi, T. R., Batchu, R. K., & Kanchepu, N. (2024). REAL-TIME REVELATIONS: ADVANCED DATA ANALYSIS TECHNIQUES. International Journal of Sustainable Development Through AI, ML and IoT, 3(1), 1-22.
Kolasani, S. (2023). Innovations in digital, enterprise, cloud, data transformation, and organizational change management using agile, lean, and data-driven methodologies. International Journal of Machine Learning and Artificial Intelligence, 4(4), 1-18.
Kolasani, S. (2023). Leadership in business innovation and transformation, navigating complex digital landscapes and enterprise technology ecosystems and achieving sustainable growth in today’s rapidly evolving market. International Journal of Holistic Management Perspectives, 4(4), 1-23.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Samayamantri, L. S. (2023). Personalized B2B2C Business model. International Journal of Sustainable Development in Computing Science, 5(4), 1-17.
Kotagiri, A. (2024). AML Detection and Reporting with Intelligent Automation and Machine learning. International Machine learning journal and Computer Engineering, 7(7), 1-17.
Bammidi, T. R., Gutta, L. M., Kotagiri, A., Samayamantri, L. S., & krishna Vaddy, R. (2024). THE CRUCIAL ROLE OF DATA QUALITY IN AUTOMATED DECISION-MAKING SYSTEMS. International Journal of Managment Education for Sustainable Development, 7(7), 1-22.
Kotagiri, A. (2023). Mastering Fraudulent Schemes: A Unified Framework for AI-Driven US Banking Fraud Detection and Prevention. International Transactions in Artificial Intelligence, 7(7), 1-19.
Settibathini, V. S., Kothuru, S. K., Vadlamudi, A. K., Thammreddi, L., & Rangineni, S. (2023). Strategic Analysis Review of Data Analytics with the Help of Artificial Intelligence. International Journal of Advances in Engineering Research, 26, 1-10.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Enhancing Network Privacy through Secure Multi-Party Computation in Cloud Environments. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Integrating Network Security into Software Defined Networking (SDN) Architectures. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Analyzing the Impact of Quantum Cryptography on Network Security. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-6). IEEE.
Pillai, S. E. V. S., & Polimetla, K. (2024, February). Mitigating DDoS Attacks using SDN-based Network Security Measures. In 2024 International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-7). IEEE.
Pansara, Ronak. "“MASTER DATA MANAGEMENT IMPORTANCE IN TODAY’S ORGANIZATION." International Journal of Management (IJM)12.10 (2021).
Ronak Pansara, Master Data Management Challenges, International Journal of Computer Science and Mobile Computing, Vol.10 Issue.10, October- 2021, pg. 47-49
Pansara, R. (2023). MDM Governance Framework in the Agtech & Manufacturing Industry. International Journal of Sustainable Development in Computing Science, 5(4), 1-10.
Pansara, R. (2023). From Fields to Factories A Technological Odyssey in Agtech and Manufacturing. International Journal of Managment Education for Sustainable Development, 6(6), 13-23.
