IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id708.html

Best Practices in Cybersecurity Training: Enhancing Employee Awareness to Mitigate Risks

Author

Listed:
  • Sreeharsha Amarnath Rongala

Abstract

This technical article explores the critical role of cybersecurity training programs in addressing the growing challenges of cyber threats in modern organizations. The article examines how human factors contribute to security vulnerabilities while also presenting opportunities for strengthening organizational defense through comprehensive training initiatives. Through this detailed article of current research and industry reports, this article investigates the implementation of structured training approaches, measurement frameworks, and cultural transformation strategies. The article encompasses key aspects including baseline assessments, multi-tiered training architectures, performance metrics, security-conscious culture development, technical integration through learning management systems, compliance documentation, and future-proofing methodologies. The article demonstrates that organizations implementing comprehensive security awareness programs experience significant improvements in threat detection, incident response, and overall security posture while highlighting the importance of leadership engagement and continuous adaptation in maintaining effective cybersecurity training programs.

Suggested Citation

  • Sreeharsha Amarnath Rongala, 2025. "Best Practices in Cybersecurity Training: Enhancing Employee Awareness to Mitigate Risks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 538-547, February.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:708
    DOI: 10.32628/CSEIT25111251
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111251
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25111251
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT25111251/CSEIT25111251
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT25111251?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:708. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.