Role of AI in Security Compliance

Abstract—Artificial Intelligence (AI) has emerged as a pivotal tool in enhancing security compliance across various industries. Its ability to analyze vast datasets, detect intricate patterns, and automate complex processes significantly improves risk management and regulatory adherence. AI enables real-time data analysis, promptly identifying potential violations and flagging security threats, thereby strengthening an organization’s overall security framework. However, while AI offers transformative advantages, its integration into existing security systems introduces new challenges, such as data privacy concerns, algorithmic bias, and the need for transparent decision-making. This paper explores the dual role of AI in both enhancing compliance efforts and presenting risks that require careful management. By adopting a balanced approach—leveraging AI’s capabilities while ensuring robust oversight— organizations can optimize compliance processes, address regulatory challenges, and mitigate associated risks. Achieving this balance is critical to securing long-term success in an increasingly regulated and digitized landscape. Keywords—Artificial Intelligence (AI), security compliance, risk management, regulatory compliance, data privacy, algorithmic bias, real-time data analysis, threat detection, automation, cybersecurity, transparency, decision-making, compliance automation, AI integration, ethical AI deployment, organizational security, regulatory frameworks.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-11-23
DOI
https://doi.org/10.55041/ijsrem32650
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
1.05
Controls
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article

Role of AI in Security Compliance

Haritha Madhava Reddy
2 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Ethics and Social Impacts of AI
1.05
article

Role of AI in Security Compliance

Haritha Madhava Reddy
article en
2 citations

Abstract

Abstract—Artificial Intelligence (AI) has emerged as a pivotal tool in enhancing security compliance across various industries. Its ability to analyze vast datasets, detect intricate patterns, and automate complex processes significantly improves risk management and regulatory adherence. AI enables real-time data analysis, promptly identifying potential violations and flagging security threats, thereby strengthening an organization’s overall security framework. However, while AI offers transformative advantages, its integration into existing security systems introduces new challenges, such as data privacy concerns, algorithmic bias, and the need for transparent decision-making. This paper explores the dual role of AI in both enhancing compliance efforts and presenting risks that require careful management. By adopting a balanced approach—leveraging AI’s capabilities while ensuring robust oversight— organizations can optimize compliance processes, address regulatory challenges, and mitigate associated risks. Achieving this balance is critical to securing long-term success in an increasingly regulated and digitized landscape. Keywords—Artificial Intelligence (AI), security compliance, risk management, regulatory compliance, data privacy, algorithmic bias, real-time data analysis, threat detection, automation, cybersecurity, transparency, decision-making, compliance automation, AI integration, ethical AI deployment, organizational security, regulatory frameworks.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(11)
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
1.05
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