Year: 2024
Type: article
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.
DOI: 10.55041/ijsrem32650
Author: Haritha Madhava Reddy
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4404645535