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100			_aMahajan, Shonan K. _961198
245			_aAn empirical study on cyber threats and protection management frameworks: Safeguarding the digital workplace
260			_aISTM Journal of Training Research and Governance
300			_a6(1&2), Jan, 2026: p.57-67
520			_aThe rapid digitization of the workplace has exponentially increased organizational dependency on information systems, concurrently expanding the attack surface for cyber threats. This paper presents an empirical analysis of the contemporary cyber threat landscape and evaluates the efficacy of established protection management frameworks in safeguarding the digital workplace. Through a systematic literature review and synthesis of existing empirical data, this study identifies the most prevalent cyber threats, including social engineering, ransomware, and insider threats, and maps them against human, technical, and organizational vulnerabilities. The research critically assesses prominent frameworks such as the NIST Cybersecurity Framework, COBIT 5, and ISO/IEC 27001, analyzing their components—Identify, Protect, Detect, Respond, Recover—and their integration into a cohesive risk management strategy. Furthermore, the paper integrates criminological theories, including Routine Activity Theory and General Deterrence Theory, to provide a nuanced understanding of cybercrime victimization and perpetration. The findings indicate that a siloed approach to cybersecurity is insufficient. A holistic, socio-technical model is proposed, emphasizing the continuous integration of technological controls, robust governance processes, and comprehensive security awareness training to create a resilient security culture. The study concludes that the future of digital workplace security lies in adaptive, intelligence-driven frameworks capable of evolving with the threat landscape, supported by cross-organizational commitment and an understanding of the human factors in cybersecurity. –Reproduced https://www.istm.gov.in/library/information_bulletin/journal
650			_aAir-gap, Malwares, Data diode, Out-of-band acknowledgment, Cyber security, UBA [user behavior analytics], Network behavior analytics [NBA], AI [artificial intelligence], Neural networks. _961199
773			_aISTM Journal of Training Research and Governance
942			_cAR