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001 on1450451711;

003 OCoLC;

005 20250620041016.0;

006 m o d ;

007 cr unu||||||||;

008 240731s2024 ncua obm 000 0 eng d;

035 a| (Sirsi) o1450451711;

035 a| (OCoLC)1450451711;

049 a| EREE;

090 a| QA76.9.A25;

100 1 a| Waseem, Haseeb,e| author.?| UNAUTHORIZED;

245 14 a| The perception of security operations analysts and engineers on the integration of AI into security operation centers /c| by Haseeb Waseem.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2024.;

300 a| 1 online resource (83 pages) :b| illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| application/pdfc| 1.12 MB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2024.;

502 a| Presented to the Faculty of the Department of Technology Systems;

500 a| Advisor: Peng Li;

500 a| Title from PDF t.p. (viewed June 19, 2025).;

520 3 a| This thesis explores the impact of Artificial Intelligence (AI) integration within Security Operations Centers (SOCs), focusing on the perceptions, experiences, and challenges faced by SOC analysts, engineers, and managers. The study employs a descriptive quantitative research design, utilizing surveys to gather primary data from professionals across various roles within SOCs in the USA. The research aims to uncover how AI technologies influence SOC operations, including changes in roles, responsibilities, and the overall effectiveness of SOCs in threat detection and response. This research contributes to the understanding of AI's integration in cybersecurity, offering valuable insights for SOC administrators, cybersecurity professionals, and researchers. It lays the groundwork for future studies aimed at enhancing AI's effectiveness in SOC operations and navigating the evolving landscape of cybersecurity threats and defenses.;

504 a| Includes bibliographical references.;

650 0 a| Computer securityx| Employeesx| Attitudes.=| ^A257308;

650 0 a| Artificial intelligence.=| ^A15394;

650 0 a| Computer networksx| Security measures.=| ^A388828;

650 0 a| Computer securityx| Technological innovations.=| ^A257308;

650 0 a| Information technologyx| Management.=| ^A231519;

653 a| SOC;

653 a| AI;

653 a| Perception;

700 1 a| Li, Peng,e| degree supervisor.=| ^A1196571;

710 2 a| East Carolina University.b| Department of Technology Systems.?| UNAUTHORIZED;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/13469;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 6462755;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6462755-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 7/31/2024x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6462755-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 7/31/2024x| ETDz| HERESOURCE;

The perception of security operations analysts and engineers on the integration of AI into security operation centers / by Haseeb Waseem.

Author/creator	Waseem, Haseeb author.
Other author	Li, Peng, degree supervisor.
Other author	East Carolina University. Department of Technology Systems.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2024.
Description	1 online resource (83 pages) : illustrations
Supplemental Content	Access via ScholarShip
Subjects	Computer security--Employees. --Attitudes. Artificial intelligence. Computer networks--Security measures. Computer security--Technological innovations. Information technology--Management.

Summary	This thesis explores the impact of Artificial Intelligence (AI) integration within Security Operations Centers (SOCs), focusing on the perceptions, experiences, and challenges faced by SOC analysts, engineers, and managers. The study employs a descriptive quantitative research design, utilizing surveys to gather primary data from professionals across various roles within SOCs in the USA. The research aims to uncover how AI technologies influence SOC operations, including changes in roles, responsibilities, and the overall effectiveness of SOCs in threat detection and response. This research contributes to the understanding of AI's integration in cybersecurity, offering valuable insights for SOC administrators, cybersecurity professionals, and researchers. It lays the groundwork for future studies aimed at enhancing AI's effectiveness in SOC operations and navigating the evolving landscape of cybersecurity threats and defenses.
General note	Advisor: Peng Li
General note	Title from PDF t.p. (viewed June 19, 2025).
Dissertation note	M.S. East Carolina University 2024.
Dissertation note	Presented to the Faculty of the Department of Technology Systems
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

The perception of security operations analysts and engineers on the integration of AI into security operation centers / by Haseeb Waseem.

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