Data-Driven Cybersecurity: Reducing risk with proven metrics by Mariano Mattei.

Mariano holds a Masters in Cyber Defense and Information Security from Temple University. She is the former Director Governance, Risk, and Compliance at Layer 8 Security, and CISO at Mattei. Today Mariano is VP Cybersecurity and CISO at Azzur.
It is very welcoming to see Mariano addressing machine learning for predictive cybersecurity. Mariano introduces statistical methods and machine learning easily accessible to security teams with Bayesian inference. Examples predictive detection, anomaly identification, and early warning signs is proving how AI is moving any cybersecurity program from reactive to proactive.
Mariano is including Python scripts and Jupyter-based workflows, providing technically savvy security teams a direct path to experimentation and deployment in their internal test deployments.
This book certainly provides cybersecurity teams with a practical roadmap for driving a data-driven mindset. This can be an excellent resources for organizational leaders to understand business in the age of aggressive malware and data breach announcements.



