Anomaly Detection and Risk Mitigation

""In the digital era, intelligence is not just about data-it's about detecting the unseen, predicting the uncertain, and securing the inevitable.""
Pawan Kumar Badhan

Anomaly Detection & Risk Mitigation: AI Solutions for Cloud & Finance In today's digital age, ensuring security and operational stability is more critical than ever. Anomaly Detection & Risk Mitigation: AI Solutions for Cloud & Finance explores cutting-edge machine learning techniques to detect anomalies, prevent failures, and mitigate financial risks in real-time.
This book provides a comprehensive guide to AI-driven anomaly detection, covering cloud infrastructure monitoring, cybersecurity threats, fraud detection, and predictive risk management. With case studies, real-world datasets, and advanced algorithms like support vector machines (SVM), random forests, and isolation forests, this book equips readers with the tools to build intelligent, automated solutions.

Key Topics Include:
- AI-powered cloud monitoring and security enhancement
- Fraud detection and risk mitigation strategies in finance
- Supervised and unsupervised machine learning techniques
- Real-time data analysis for proactive decision-making
- Case studies and industry applications

Authored by Mr. Pawan Kumar Badhan, Dr. Umesh Sehgal, and Dr. Vivek Mittal, this book is an essential resource for data scientists, cybersecurity professionals, cloud engineers, and financial analysts looking to harness AI for anomaly detection and risk management.