Paper for publication

Department:

Information Security
Risk Management
Cybersecurity Research
Artificial Intelligence and Machine Learning
Domain Keywords:

Insider Threats
Risk Management
Artificial Intelligence
Machine Learning
Cybersecurity
Threat Detection
Behavioral Analytics
Data Loss Prevention (DLP)
Access Control
Predictive Analytics
Employee Monitoring
Incident Response
Title:

"Addressing Insider Threats: A Comprehensive AI-Driven Approach to Risk Management"
Kind of Work:

Research Study: Conduct an original analysis on how AI and machine learning models can be applied to detect and mitigate insider threats. This could involve exploring predictive analytics, anomaly detection, and behavioral analysis. The paper would include:
Introduction to the problem (insider threats)
Overview of AI technologies used in cybersecurity
Research methodology (e.g., application of AI in insider threat detection)
Results and analysis
Discussion of findings and implications for risk management
Number of Pages and References:

Pages: 15-20 pages (to allow for a thorough exploration of both AI and insider threat management)
References: 30-40 references (to cover both traditional and AI-related research, ensuring a comprehensive approach)