Improve Loss Ratios with CyberCube's Predictive Analytics

In this report, CyberCube highlights the importance of advanced cyber risk analytics for insurers, validated by a Marsh McLennan study examining 3,700 policies. Key findings reveal that predictive risk factors, such as CyberCube’s Combined Score, strongly correlate with incidents like data breaches and ransomware. The report underscores the challenge of sifting through raw data and the need for curated signals for effective risk assessment.