Artificial Intelligence Design And Solution For Risk And Security
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Artificial Intelligence Design and Solution for Risk and Security by Archie Addo,Srini Centhala,Muthu Shanmugam Pdf
Artificial Intelligence (AI) Design and Solutions for Risk and Security targets 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. The authors examine the AI and ML algorithms in detail, which enables the readers to choose appropriate algorithms during designing solutions. Functional domains and industrial domains are also 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.
National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Intelligence Community Studies Board,Computer Science and Telecommunications Board
Author : National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Intelligence Community Studies Board,Computer Science and Telecommunications Board Publisher : National Academies Press Page : 99 pages File Size : 43,9 Mb Release : 2020-01-27 Category : Computers ISBN : 9780309494502
Implications of Artificial Intelligence for Cybersecurity by National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Intelligence Community Studies Board,Computer Science and Telecommunications Board Pdf
In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.
Artificial Intelligence for Risk Management by Archie Addo,Srini Centhala,Muthu Shanmugam Pdf
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. With 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 on an AI team and learn how to tell a compelling story with AI to drive business action on risk.
Artificial Intelligence for Security by Archie Addo,Srini Centhala,Muthu Shanmugam Pdf
Artificial Intelligence (AI) for security management explores terminologies of security and how AI can be applied to automate security processes. Additionally, the text provides detailed explanations and recommendations for how implement procedures. Practical examples and real-time use cases are evaluated and suggest appropriate algorithms based on the author’s experiences. Threat and associated securities from the data, process, people, things (e.g., Internet of things), systems, and actions were used to develop 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.
Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by El Bachir Boukherouaa,Mr. Ghiath Shabsigh,Khaled AlAjmi,Jose Deodoro,Aquiles Farias,Ebru S Iskender,Mr. Alin T Mirestean,Rangachary Ravikumar Pdf
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Protecting the Brand by Peter Hlavnicka,Anthony Keats Pdf
Protecting the Brand, Volume I: Counterfeiting and Grey Markets is a handbook for law practitioners as well as business executives. It is a unique perspective of best practices in addressing issues around counterfeiting and grey markets - from a legal as well as a business point of view. The authors explore the threats posed by counterfeiting and grey markets to a variety of industries and illuminate what problems these may cause. Before setting forth the range of legal strategies for remedying incidents of counterfeiting and grey markets, the authors outline preventive measures businesses can take to combat the threats, and showcase some of the emerging technologies that can serve as enablers of Brand Protection’s 3 IPR’s (3 I’s= Intelligence, Investigation, Innovation; 3 P’s= Protection, Perseverance, Perpetuation; 3 R’s= Remedy, Recovery, Rehabilitation).
Business sustainability has become economic and strategic imperative with potential to create opportunities and risks for businesses. There have been considerable efforts by regulators and business organizations to encourage the board of directors and management to pursue profit-with-purpose goals in by focusing on long-term investment and integrating environmental, social and governance (ESG) sustainability into their strategic and investment decisions. The concept of impact investing, of focusing on the importance and relevance of corporate investment strategies in achieving financial economic sustainability performance (ESP) in creating returns on investment and in obtaining non-financial ESG sustainability performance of providing positive social and environment impacts, is gaining acceptance by retail and institutional investors. Positive effects on the environment and society cannot be achieved without allocating scarce resources that could otherwise be used to maximize firms’ financial economic performance. The role of the board of directors is to oversee the managerial function of focusing on the long-term financial ESP and non-financial ESG sustainability performance, effectively communicating sustainability performance information to all stakeholders. This book examines the crucial role of investors both retail and institutional investors and interment managers, the corporate board of directors and management in collaborating to achieve financial ESP and non-financial ESG sustainability performance in creating shared value for all stakeholders. This book also highlights how people, business and resources collaborate in achieving sustainability performance of creating shared value for all stakeholders. Anyone who is involved with business sustainability and corporate governance will be interested in this book.
Guerrilla Warfare in the Corporate Jungle by K.F. Dochartaigh Pdf
Using his experiences of life in the corporate jungle, K.F. Dochartaigh has produced a survival manual that assists and guides the reader on how best to navigate corporate pitfalls and avoid being ‘trapped’. The book fuses three separate but intertwined disciplines of the animal kingdom, the guerrilla battlefield, and the corporate world to help establish patterns of behavior and to understand the motivations that drive each action. All three areas share a common environment: the jungle, where visibility is limited, and ambush is the only method of attack by predators. The book blends animal and human psychology and provides safe passage in all its encounters. This book does not condone war—in fact, quite the opposite—and, as you will see, it takes more of a defensive position in repelling attacks and seeks to promote the occurrence of collaboration over individual competition, which will also become apparent. It is not a “call to arms” or a promotion of anarchy—not by any stretch of the imagination—as it merely assists the individual in adapting within their environment in order to ensure their survival. Whether you work as an accountant, IT consultant, lawyer, salesperson, or project manager, the same logic still applies because there is a natural order in all corporate vocations.
Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf
As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.
Consumer Protection in E-Retailing in ASEAN by Huong Ha Pdf
This book examines how consumers are protected on the online marketplace in the context of ASEAN countries. While many sectors have been badly affected by the COVID-19 pandemic, e-retailing is one of the booming sectors during this period. Actually, the e-retailing sector was already booming even before the global pandemic. Although e-retailing offers many opportunities for businesses and consumers, there are several issues associated with e-consumer protection. This book examines how consumers are protected on the online marketplace in the context of ASEAN countries. Specifically, this project: (i) Discusses the six issues of e-consumer protection (e.g., information about transaction, product quality, privacy, security, redress, and jurisdiction); (ii) Examines the policy/governance approach adopted by different sectors to address the issues of e-consumer protection; and (iii) Proposes a multi-sector governance framework for e-consumer protection. Three short case studies on Lazada in Singapore, Shopee in Vietnam, and Zalora in Malaysia are also included to illustrate how well-known e-retailers protect their e-customers. Overall, this book is interdisciplinary, including research on consumer protection, governance, management, and policy/regulation. It provides sources of information and knowledge which focus on both theoretical and practical aspects of e-consumer protection in ASEAN countries. Also, the roles from different sectors are examined to produce comprehensive findings and analysis of the governance process.
Organized crimes (e.g., weapons trafficking, drug distribution, white collar crime) persist globally due primarily to the power of modern information and communication technology (e.g., computer-based networks in the open and dark webs) to facilitate organization and the enhanced liquidity provided by electronic transfers (in effect, e-capital) to distribute criminal proceeds in the same covert and high-speed manner used by the so-called legitimate commercial enterprises. Offshore banking in tax secrecy and tax haven jurisdictions facilitates both the socially accepted process commonly known as tax avoidance, for example, and the notorious practice commonly known as tax evasion: the former is lawful; the latter is illicit. The dirty secret of how transnational organized economic crime persists lies in global finance, especially transactions using the U.S. dollar in safe havens (e.g., the West uses the Cayman Islands; the East uses Cyprus). Regulators, monitors, auditors, and other specialists in conducting transaction review do not readily and timely tell the difference between high valued transfers that involve true sales of licit goods from high valued transfers that involve the laundering of proceeds from human trafficking, drug distribution, arms sales, and so on.
Cyber Security Meets Machine Learning by Xiaofeng Chen,Willy Susilo,Elisa Bertino Pdf
Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.
Software Engineering: Artificial Intelligence, Compliance, and Security by Brian D'Andrade Pdf
Information security is important in every aspect of daily life. This book examines four areas where risks are present: artificial intelligence (AI), the internet of things (IoT), government and malware. The authors channel their experience and research into an accessible body of knowledge for consideration by professionals.AI is introduced as a tool for healthcare, security and innovation. The advantages of using AI in new industries are highlighted in the context of recent developments in mechanical engineering, and a survey of AI software risks is presented focusing on well-publicized failures and US FDA regulatory guidelines.The risks associated with the billions of devices that form the IoT grow with the availability of such devices in consumer products, healthcare, energy infrastructure and transportation. The risks, software engineering risk mitigation methods and standards promoting a level of care for the manufacture of IoT devices are examined because of their importance for software developers.Strategic insights for software developers looking to do business with the US federal government are presented, considering threats to both public and private sectors as well as governmental priorities from recent executive and legislative branch actions.Finally, an analysis of malicious software that infects numerous computer systems each day and causes millions of dollars in damages every year is presented. Malicious software, or "malware," is software designed with hostile intent, but the damage may be mitigated with static and dynamic analyses, which are processes for studying how malware operates and analyzing potential impacts.
Blockchain and Artificial Intelligence-Based Solution to Enhance the Privacy in Digital Identity and IoT by Fehmi Jaafar,Schallum Pierre Pdf
The chapters in this book explore the main domains that represent considerable risks for the respect of privacy, such as education, health, finance or social media. Through its place in the massive data production industry, the Internet of Things participates in the development of artificial intelligence and is increasingly attracting the attention of web giants, governments and especially all types of hackers. Thanks to this book, private and public organizations will have at their disposal a tool that highlights, on the one hand, the major challenges raised by privacy in the context of the Internet of Things and, on the other hand, recommendations for improving good practices. Digital identity is presented as a bulwark for the protection of privacy. It opens up new avenues for improving digital trust. Concretely, there are a set of challenges that are associated with the management of digital identity, mainly in relation to the compliance and governance of personnel data in order to eliminate privacy and security risks.
INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.