Book Released - AI for Risk & Security
Authors (Archie, Srini, and Muthu) have written Three Books.
The books provide valuable content that will be beneficial to anyone who wants to use Artificial Intelligence (AI) for Risk and Security. Here are the individual books and where you can buy:
1) Artificial Intelligence for Risk management -
Artificial Intelligence (AI) for risk management is about using AI to manage risk in the corporate environment. The content of this work focuses on concepts, principles, and practical applications that are relevant to the corporate and technology environments.
The authors introduce AI and discuss the different types, capabilities, and purposes–including challenges. AI also comes risk. This book defines risk, provides examples, and includes information on the risk-management process.
Having a solid knowledge base for an AI project is key and this book will help readers define the knowledge base needed for an AI project by developing and identifying objectives of the risk-knowledge base and knowledge acquisition for risk.
This book will help you become a contributor to an AI team and learn how to tell a compelling story with AI to drive business action on risk
2) Artificial Intelligence for Security –
Artificial Intelligence (AI) for security management explores terms and terminologies of security, how AI can be applied to automate security processes. Additionally, provides detail explanations and recommendations.
Practical examples and real-time use cases are evaluated and suggested appropriate algorithms based on the authors' experiences.
Threat and associated securities from the data, process, people, things (e.g., Internet of things), systems, and actions were used to develop a security knowledge base, which will help readers to build their own knowledge base.
This book will help the readers to start their AI journey on security and how data can be applied to drive business actions to build secure environment.
3) Artificial Intelligence Design and Solution for Risk and Security –
Artificial Intelligence (AI) design and solutions for risk and security target readers to understand, learn, define problems, and architect AI projects. Starting from current business architectures and business processes to futuristic architectures.
Introduction to data analytics and life cycle includes data discovery, data preparation, data processing steps, model building, and operationalization are explained in detail. Explored the AI and Machine Learning (ML) algorithms in detail that enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are explained in detail.
The takeaways are learning and applying designs and solutions to AI projects with risk and security implementation and knowledge about futuristic AI in five to ten years.
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