As the digital landscape becomes more intricate, cyber threats continue to advance in sophistication and scale, demanding proactive and adaptive solutions. This thesis delves into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.
This study also addresses the need for human-machine collaboration, recognizing the integral role of skilled cybersecurity professionals in conjunction with AI algorithms. The findings contribute to a deeper understanding of AI's capabilities and limitations, providing insights that can guide the development and deployment of AI-driven security systems. We look at real examples of AI success and consider ethics and teamwork with human experts. The findings show AI's promise in making cybersecurity stronger against changing cyber threats.
","abstract_html":"<p>As the digital landscape becomes more intricate, cyber threats continue to advance in sophistication and scale, demanding proactive and adaptive solutions. This thesis delves into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.</p> <p>This study also addresses the need for human-machine collaboration, recognizing the integral role of skilled cybersecurity professionals in conjunction with AI algorithms. The findings contribute to a deeper understanding of AI's capabilities and limitations, providing insights that can guide the development and deployment of AI-driven security systems. We look at real examples of AI success and consider ethics and teamwork with human experts. The findings show AI's promise in making cybersecurity stronger against changing cyber threats.</p>","abstract_has_math":false,"creators":["Shivampeta, Pranitha"],"institution":null,"degree_name":"Master of Science","degree_level":"Thesis","degree_discipline":"Information Technology","degree_department":null,"school":null,"contributors":["Mohammed Salam","Richard Manprisio","Soon Ok Park"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-01-01T08:00:00Z","date_published":"2023-01-01T08:00:00Z","updated_at":"2026-07-24T02:24:40Z","subjects":["Cyberattacks","AI","Cyber threats","Vulnerability","Response","Detection"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://opus.govst.edu/theses/147","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mohammed Salam","Richard Manprisio","Soon Ok Park"]},{"key":"dc:creator","label":"Author","values":["Shivampeta, Pranitha"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-03-27T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Information Technology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Cyberattacks","AI","Cyber threats","Vulnerability","Response","Detection"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://opus.govst.edu/theses/147"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["As the digital landscape becomes more intricate, cyber threats continue to advance in sophistication and scale, demanding proactive and adaptive solutions. This thesis delves into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.
This study also addresses the need for human-machine collaboration, recognizing the integral role of skilled cybersecurity professionals in conjunction with AI algorithms. The findings contribute to a deeper understanding of AI's capabilities and limitations, providing insights that can guide the development and deployment of AI-driven security systems. We look at real examples of AI success and consider ethics and teamwork with human experts. The findings show AI's promise in making cybersecurity stronger against changing cyber threats.
"]},{"key":"dc:title","label":"Title","values":["Artificial Intelligence for Cyber Security Threats"]}]}],"canonical_facts":{"dc:contributor":["Mohammed Salam","Richard Manprisio","Soon Ok Park"],"dc:creator":["Shivampeta, Pranitha"],"dc:date.available":["2024-03-27T07:00:00Z"],"dc:description.abstract":["As the digital landscape becomes more intricate, cyber threats continue to advance in sophistication and scale, demanding proactive and adaptive solutions. This thesis delves into the realm of Artificial Intelligence (AI) and its transformative impact on bolstering cybersecurity defenses against a myriad of threats. By harnessing AI's capabilities, ranging from machine learning algorithms to deep neural networks, this study explores the potential to significantly enhance threat detection, response, and mitigation strategies.
This study also addresses the need for human-machine collaboration, recognizing the integral role of skilled cybersecurity professionals in conjunction with AI algorithms. The findings contribute to a deeper understanding of AI's capabilities and limitations, providing insights that can guide the development and deployment of AI-driven security systems. We look at real examples of AI success and consider ethics and teamwork with human experts. The findings show AI's promise in making cybersecurity stronger against changing cyber threats.
"],"dc:identifier":["https://opus.govst.edu/theses/147"],"dc:subject":["Cyberattacks","AI","Cyber threats","Vulnerability","Response","Detection"],"dc:title":["Artificial Intelligence for Cyber Security Threats"],"thesis:degree_discipline":["Information Technology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["Master of Science"]},"updated_at":"2026-07-24T02:24:40Z"}