Insider Threat Detection and Prevention

EasyChair Preprint 14566

Abstract

Insider threat detection and prevention is a critical aspect of cybersecurity, addressing risks posed by individuals within an organization who exploit their access to harm the system or data. Unlike external threats, insiders have legitimate access and knowledge, making detection challenging. Effective strategies involve a multi-layered approach combining technology, policy, and human oversight.

Technological solutions include advanced monitoring tools that analyze user behavior, detect anomalies, and flag potential threats. Behavioral analytics and machine learning algorithms can identify patterns indicative of malicious intent or policy violations. Meanwhile, robust policies and procedures, such as access controls, data encryption, and regular audits, are essential to mitigate risks.

Training and awareness programs are also crucial, as they help employees recognize and report suspicious activities. Organizations must foster a culture of security where staff understand the importance of safeguarding information and adhere to best practices.

Ultimately, insider threat management requires an integrated approach that balances technological measures with strong organizational policies and a proactive security culture. This multi-faceted strategy helps to effectively detect, prevent, and respond to insider threats, ensuring the protection of sensitive information and maintaining overall system integrity.

Keyphrases: Detection and Prevention, Insider Threat, technological solutions

@booklet{EasyChair:14566,
  author    = {Favour Olaoye and Axel Egon},
  title     = {Insider Threat Detection and Prevention},
  howpublished = {EasyChair Preprint 14566},
  year      = {EasyChair, 2024}}