Author: Michael Bergman
Publisher: Michael Bergman
ISBN:
Category : Computers
Languages : en
Pages : 118
Book Description
AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005". It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes.
Secure AI Onboarding Framework
Author: Michael Bergman
Publisher: Michael Bergman
ISBN:
Category : Computers
Languages : en
Pages : 118
Book Description
AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005". It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes.
Publisher: Michael Bergman
ISBN:
Category : Computers
Languages : en
Pages : 118
Book Description
AI Onboarding is the process of fine-tuning generic pre-trained AI models using the transfer learning process and the organisation's proprietary data, such as intellectual property (IP), customer data, and other domain-specific datasets. This fine-tuning transforms a generic AI model into a bespoke business tool that understands organisation-specific terminology, makes decisions in line with internal policies and strategies, and provides insights that are directly relevant to the organisation's goals and challenges. Standing in the way of this powerful transformation is the AI onboarding challenge of protecting the confidentiality, integrity and availability of proprietary data as it is collected, stored, processed and used in fine-tuning. The Secure AI Onboarding Framework is designed to address this challenge by supporting the “Risk Identification” and “Risk treatment” phases of ISO/IEC 27005". It decomposes authoritative resources including the AI Act, OWASP, NIST CSF 2.0, and AI RMF into four critical components, namely Risks, Security Controls, Assessment Questions and Control Implementation Guidance. These components help organisations first, to identify the risks relevant to their AI system and proprietary data, second, define an AI system statement of applicable controls to treat the risks. Thirdly, assess the implementation status of those controls to identify gaps in their readiness to onboard the AI system, and finally, they provide control implementation guidance to facilitate the correct control implementation. Ultimately minimising the security risks related to onboarding AI systems and securely integrating them into their business teams and processes.
Digital Transformation, Strategic Resilience, Cyber Security and Risk Management
Author: Simon Grima
Publisher: Emerald Group Publishing
ISBN: 1804552631
Category : Business & Economics
Languages : en
Pages : 210
Book Description
Digitization of economic and management processes allows for the delivery of new value and higher efficiency in the implementation of strategic goals. This is due to the inclusion of digital technologies in the existing rules of functioning among partners involved in the flow of resources, and from their readiness for digital transformation. A significant challenge, in practical, organizational, and scientific terms is to understand the opportunities and threats resulting from digital transformation, to identify optimal strategies for the development of business entities in new economic and management conditions, taking care to adopt collateral and proper management of new risks. Addressing this challenge to the readers - contributors indicate the latest theoretical advances, and practical examples in FinTech, The Internet of Things, and AI, among others. This results in a synthetic look at the complex digital transformation processes of the modern world, both in terms of the underlying causes and the vast effects of the transformations and digitization of social and economic life. Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.
Publisher: Emerald Group Publishing
ISBN: 1804552631
Category : Business & Economics
Languages : en
Pages : 210
Book Description
Digitization of economic and management processes allows for the delivery of new value and higher efficiency in the implementation of strategic goals. This is due to the inclusion of digital technologies in the existing rules of functioning among partners involved in the flow of resources, and from their readiness for digital transformation. A significant challenge, in practical, organizational, and scientific terms is to understand the opportunities and threats resulting from digital transformation, to identify optimal strategies for the development of business entities in new economic and management conditions, taking care to adopt collateral and proper management of new risks. Addressing this challenge to the readers - contributors indicate the latest theoretical advances, and practical examples in FinTech, The Internet of Things, and AI, among others. This results in a synthetic look at the complex digital transformation processes of the modern world, both in terms of the underlying causes and the vast effects of the transformations and digitization of social and economic life. Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance.
AI Development and the ‘Fuzzy Logic' of Chinese Cyber Security and Data Laws
Author: Max Parasol
Publisher: Cambridge University Press
ISBN: 131651336X
Category : Computers
Languages : en
Pages : 423
Book Description
Explains the rapid rise of China's innovation system and provides a roadmap for the prospects of China's AI development.
Publisher: Cambridge University Press
ISBN: 131651336X
Category : Computers
Languages : en
Pages : 423
Book Description
Explains the rapid rise of China's innovation system and provides a roadmap for the prospects of China's AI development.
Cross-Industry AI Applications
Author: Paramasivan, P.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 412
Book Description
The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 412
Book Description
The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike.
AI and IoT for Sustainable Development in Emerging Countries
Author: Zakaria Boulouard
Publisher: Springer Nature
ISBN: 3030906183
Category : Technology & Engineering
Languages : en
Pages : 638
Book Description
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
Publisher: Springer Nature
ISBN: 3030906183
Category : Technology & Engineering
Languages : en
Pages : 638
Book Description
This book comprises a number of state-of-the-art contributions from both scientists and practitioners working in a large pool of fields where AI and IoT can open up new horizons. Artificial intelligence and Internet of Things have introduced themselves today as must-have technologies in almost every sector. Ranging from agriculture to industry and health care, the scope of applications of AI and IoT is as wide as the horizon. Nowadays, these technologies are extensively used in developed countries, but they are still at an early stage in emerging countries. AI and IoT for Sustainable Development in Emerging Countries—Challenges and Opportunities is an invaluable source to dive into the latest applications of AI and IoT and how they have been used by researchers from emerging countries to solve sustainable development-related issues by taking into consideration the specifities of their countries. This book starts by presenting how AI and IoT can tackle the challenges of sustainable development in general and then focuses on the following axes: · AI and IoT for smart environment and energy · Industry 4.0 and intelligent transportation · A vision towards an artificial intelligence of medical things · AI, social media, and big data analytics. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in these particular areas or those interested in grasping its diverse facets and exploring the latest advances on their respective fields and the role of AI and IoT in them.
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies
Author: Rajesh David
Publisher: RK Publication
ISBN: 9348020382
Category : Computers
Languages : en
Pages : 302
Book Description
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.
Publisher: RK Publication
ISBN: 9348020382
Category : Computers
Languages : en
Pages : 302
Book Description
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.
Product-Led Onboarding
Author: Ramli John
Publisher: Productled Press
ISBN: 9781777717704
Category :
Languages : en
Pages : 312
Book Description
When you borrow a plate from grandma, does she ask you to pay a deposit? Of course not. Likewise, blocking your non-paying ("freemium") customers from the core experience of your product, is like chopping your own leg off while running a marathon. Yet, this is just one of the crucial mistakes that most SaaS companies make right off the bat. Think about it. Do YOU have... Stalled accounts taking up valuable space? Sub-par clients who only expect freebies and don't ever use the full features of your product? Low conversion from free accounts to paid? Then, you might have a shot-yourself-in-the-foot problem. In this book, you'll find the easy, 6-step formula you can apply to your operations today that can change absolutely everything. You'll be able to count your company among giants like Mixpanel, Ubisoft, and Outsystems when you: Captivate clients' attention from the get-go. Make it easier for clients to get good at using your software so they are more likely to use it. Create a fool-proof checklist to make your product go viral. Match services with behaviors, and get users addicted to your product. Win rave reviews by making clients feel like VIPs. Use this strategy at each level in your team to supercharge its effect. Rinse and repeat, and watch your business grow while you sleep. In short, you'll discover why putting your customer first is the ultimate secret to growing your company. And how you can achieve astronomical conversions and customer loyalty without even trying. Check out what others are saying:
Publisher: Productled Press
ISBN: 9781777717704
Category :
Languages : en
Pages : 312
Book Description
When you borrow a plate from grandma, does she ask you to pay a deposit? Of course not. Likewise, blocking your non-paying ("freemium") customers from the core experience of your product, is like chopping your own leg off while running a marathon. Yet, this is just one of the crucial mistakes that most SaaS companies make right off the bat. Think about it. Do YOU have... Stalled accounts taking up valuable space? Sub-par clients who only expect freebies and don't ever use the full features of your product? Low conversion from free accounts to paid? Then, you might have a shot-yourself-in-the-foot problem. In this book, you'll find the easy, 6-step formula you can apply to your operations today that can change absolutely everything. You'll be able to count your company among giants like Mixpanel, Ubisoft, and Outsystems when you: Captivate clients' attention from the get-go. Make it easier for clients to get good at using your software so they are more likely to use it. Create a fool-proof checklist to make your product go viral. Match services with behaviors, and get users addicted to your product. Win rave reviews by making clients feel like VIPs. Use this strategy at each level in your team to supercharge its effect. Rinse and repeat, and watch your business grow while you sleep. In short, you'll discover why putting your customer first is the ultimate secret to growing your company. And how you can achieve astronomical conversions and customer loyalty without even trying. Check out what others are saying:
Developing Cybersecurity Programs and Policies in an AI-Driven World
Author: Omar Santos
Publisher: Pearson IT Certification
ISBN: 0138074062
Category : Computers
Languages : en
Pages : 989
Book Description
ALL THE KNOWLEDGE YOU NEED TO BUILD CYBERSECURITY PROGRAMS AND POLICIES THAT WORK Clearly presents best practices, governance frameworks, and key standards Includes focused coverage of healthcare, finance, and PCI DSS compliance An essential and invaluable guide for leaders, managers, and technical professionals Today, cyberattacks can place entire organizations at risk. Cybersecurity can no longer be delegated to specialists: Success requires everyone to work together, from leaders on down. Developing Cybersecurity Programs and Policies in an AI-Driven World offers start-to-finish guidance for establishing effective cybersecurity in any organization. Drawing on more than two decades of real-world experience, Omar Santos presents realistic best practices for defining policy and governance, ensuring compliance, and collaborating to harden the entire organization. Santos begins by outlining the process of formulating actionable cybersecurity policies and creating a governance framework to support these policies. He then delves into various aspects of risk management, including strategies for asset management and data loss prevention, illustrating how to integrate various organizational functions—from HR to physical security—to enhance overall protection. This book covers many case studies and best practices for safeguarding communications, operations, and access; alongside strategies for the responsible acquisition, development, and maintenance of technology. It also discusses effective responses to security incidents. Santos provides a detailed examination of compliance requirements in different sectors and the NIST Cybersecurity Framework. LEARN HOW TO Establish cybersecurity policies and governance that serve your organization’s needs Integrate cybersecurity program components into a coherent framework for action Assess, prioritize, and manage security risk throughout the organization Manage assets and prevent data loss Work with HR to address human factors in cybersecurity Harden your facilities and physical environment Design effective policies for securing communications, operations, and access Strengthen security throughout AI-driven deployments Plan for quick, effective incident response and ensure business continuity Comply with rigorous regulations in finance and healthcare Learn about the NIST AI Risk Framework and how to protect AI implementations Explore and apply the guidance provided by the NIST Cybersecurity Framework
Publisher: Pearson IT Certification
ISBN: 0138074062
Category : Computers
Languages : en
Pages : 989
Book Description
ALL THE KNOWLEDGE YOU NEED TO BUILD CYBERSECURITY PROGRAMS AND POLICIES THAT WORK Clearly presents best practices, governance frameworks, and key standards Includes focused coverage of healthcare, finance, and PCI DSS compliance An essential and invaluable guide for leaders, managers, and technical professionals Today, cyberattacks can place entire organizations at risk. Cybersecurity can no longer be delegated to specialists: Success requires everyone to work together, from leaders on down. Developing Cybersecurity Programs and Policies in an AI-Driven World offers start-to-finish guidance for establishing effective cybersecurity in any organization. Drawing on more than two decades of real-world experience, Omar Santos presents realistic best practices for defining policy and governance, ensuring compliance, and collaborating to harden the entire organization. Santos begins by outlining the process of formulating actionable cybersecurity policies and creating a governance framework to support these policies. He then delves into various aspects of risk management, including strategies for asset management and data loss prevention, illustrating how to integrate various organizational functions—from HR to physical security—to enhance overall protection. This book covers many case studies and best practices for safeguarding communications, operations, and access; alongside strategies for the responsible acquisition, development, and maintenance of technology. It also discusses effective responses to security incidents. Santos provides a detailed examination of compliance requirements in different sectors and the NIST Cybersecurity Framework. LEARN HOW TO Establish cybersecurity policies and governance that serve your organization’s needs Integrate cybersecurity program components into a coherent framework for action Assess, prioritize, and manage security risk throughout the organization Manage assets and prevent data loss Work with HR to address human factors in cybersecurity Harden your facilities and physical environment Design effective policies for securing communications, operations, and access Strengthen security throughout AI-driven deployments Plan for quick, effective incident response and ensure business continuity Comply with rigorous regulations in finance and healthcare Learn about the NIST AI Risk Framework and how to protect AI implementations Explore and apply the guidance provided by the NIST Cybersecurity Framework
Artificial Intelligence Solutions for Cyber-Physical Systems
Author: Pushan Kumar Dutta
Publisher: CRC Press
ISBN: 1040125166
Category : Computers
Languages : en
Pages : 465
Book Description
Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.
Publisher: CRC Press
ISBN: 1040125166
Category : Computers
Languages : en
Pages : 465
Book Description
Smart manufacturing environments are revolutionizing the industrial sector by integrating advanced technologies, such as the Internet of Things (IoT), artificial intelligence (AI), and robotics, to achieve higher levels of efficiency, productivity, and safety. However, the increasing complexity and interconnectedness of these systems also introduce new security challenges that must be addressed to ensure the safety of human workers and the integrity of manufacturing processes. Key topics include risk assessment methodologies, secure communication protocols, and the development of standard specifications to guide the design and implementation of HCPS. Recent research highlights the importance of adopting a multi-layered approach to security, encompassing physical, network, and application layers. Furthermore, the integration of AI and machine learning techniques enables real-time monitoring and analysis of system vulnerabilities, as well as the development of adaptive security measures. Artificial Intelligence Solutions for Cyber-Physical Systems discusses such best practices and frameworks as NIST Cybersecurity Framework, ISO/IEC 27001, and IEC 62443 of advanced technologies. It presents strategies and methods to mitigate risks and enhance security, including cybersecurity frameworks, secure communication protocols, and access control measures. The book also focuses on the design, implementation, and management of secure HCPS in smart manufacturing environments. It covers a wide range of topics, including risk assessment, security architecture, data privacy, and standard specifications, for HCPS. The book highlights the importance of securing communication protocols, the role of artificial intelligence and machine learning in threat detection and mitigation, and the need for robust cybersecurity frameworks in the context of smart manufacturing.
Smart Financial Market: AI and the Future of Banking
Author: Pritam Mehta
Publisher: Centre for Academic Research and Excellence
ISBN: 8197530882
Category : Law
Languages : en
Pages : 419
Book Description
Smart Financial Market: AI and the Future of Banking offers a comprehensive exploration of how artificial intelligence is transforming the financial industry. This essential read covers critical topics such as FinTech innovations, robo-advising, and evolving payment methods. The book is a collaboration of experts, including engineers, professors, law students, and bank managers, ensuring that the content is both authoritative and up-to-date with the current landscape. Delving into the intersection of technology and finance, this book provides readers with insights into the latest AI-driven solutions that are reshaping banking services. From the rise of FinTech startups disrupting traditional banking models to the advent of robo-advisors offering personalized financial guidance, this book examines how AI is creating new opportunities and challenges within the financial sector.
Publisher: Centre for Academic Research and Excellence
ISBN: 8197530882
Category : Law
Languages : en
Pages : 419
Book Description
Smart Financial Market: AI and the Future of Banking offers a comprehensive exploration of how artificial intelligence is transforming the financial industry. This essential read covers critical topics such as FinTech innovations, robo-advising, and evolving payment methods. The book is a collaboration of experts, including engineers, professors, law students, and bank managers, ensuring that the content is both authoritative and up-to-date with the current landscape. Delving into the intersection of technology and finance, this book provides readers with insights into the latest AI-driven solutions that are reshaping banking services. From the rise of FinTech startups disrupting traditional banking models to the advent of robo-advisors offering personalized financial guidance, this book examines how AI is creating new opportunities and challenges within the financial sector.