Artificial Intelligence Assisted Identity And Access Management
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Artificial Intelligence Assisted Identity And Access Management
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Author : Esther Chinwe Eze
language : en
Publisher: Deep Science Publishing
Release Date : 2025-02-16
Artificial Intelligence Assisted Identity And Access Management written by Esther Chinwe Eze and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-16 with Computers categories.
As businesses come to appreciate the need for Identity and Access Management (IAM) to protect their environments, they ensure that only permitted users can access sensitive data and systems. Growing companies need robust IAM solutions that enable them to handle user authentication, permissions, and access control more effectively, therefore underlining their need. Still, security breaches have been a major headache, even with the advances in IAM technologies. Cybercriminals are constantly improving their techniques to bypass conventional IAM policies, which has resulted in many security incidents and data breaches. Dealing with these security issues offers a promising solution by integrating Artificial Intelligence (AI) and Machine Learning (ML). By helping IAM systems recognize possible attacks that traditional methods could miss, AI and ML technologies provide sophisticated features for spotting unusual behavior patterns. Once an IAM attack is underway, these tools may help better identify unauthorized access, privilege escalation, and other suspect behavior. Machine learning algorithms are particularly well suited for this task as they can constantly learn and adjust from information, enhancing their precision over time. This study investigates the use of ML algorithms to improve the security of IAM systems, concentrating mainly on identifying attacks aimed at IAM servers, including OpenIAM and WSO2. Using Python code and WEKA, the study applies and experiments with different machine learning approaches, such as classification algorithms that can discern atypical behavioral patterns that point to IAM assaults. The research seeks to raise the detection rate of these assaults using machine learning, therefore giving another level of security for IAM systems. The study measures the performance of the suggested solution and its ability to spot possible risks using thorough dataset development, training, and validation of the models. The results of this study underline how combining IAM systems with machine learning could provide more reactive, real-time protection from emerging threats. Although challenges, including data constraints and the difficulty of feature selection, still exist, the findings indicate that artificial intelligence and machine learning might greatly strengthen the resilience of IAM systems. Further investigation could refine the models for even higher precision and broaden their use to other security situations, thereby adding to the larger field of cybersecurity.
Identity Security For Software Development
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Author : John Walsh
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-05-06
Identity Security For Software Development written by John Walsh and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
Maintaining secrets, credentials, and nonhuman identities in secure ways is an important, though often overlooked, aspect of secure software development. Cloud migration and digital transformation have led to an explosion of nonhuman identities—like automation scripts, cloud native apps, and DevOps tools—that need to be secured across multiple cloud and hybrid environments. DevOps security often addresses vulnerability scanning, but it neglects broader discussions like authentication, authorization, and access control, potentially leaving the door open for breaches. That's where an identity security strategy focused on secrets management can help. In this practical book, authors John Walsh and Uzi Ailon provide conceptual frameworks, technology overviews, and practical code snippets to help DevSecOps engineers, cybersecurity engineers, security managers, and software developers address use cases across CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, automation/RPA, IOT/OT, and more. You'll learn: The fundamentals of authentication, authorization, access control, and secrets management What developers need to know about managing secrets and identity to build safer apps What nonhuman identities, secrets, and credentials are—and how to secure them How developers work with their cross-function peers to build safer apps How identity security fits into modern software development practices
The Adoption And Effect Of Artificial Intelligence On Human Resources Management
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Author : Pallavi Tyagi
language : en
Publisher: Emerald Group Publishing
Release Date : 2023-02-10
The Adoption And Effect Of Artificial Intelligence On Human Resources Management written by Pallavi Tyagi and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Business & Economics categories.
Emerald Studies In Finance, Insurance, And Risk Management 7 explores how AI and Automation enhance the basic functions of human resource management.
Agentic Assurance Identity First Devops Ai Security And Digital Transformation In Insurance Finance
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Author : PALLAV KUMAR KAULWAR
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Agentic Assurance Identity First Devops Ai Security And Digital Transformation In Insurance Finance written by PALLAV KUMAR KAULWAR and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection
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Author : Shilpa Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-03-22
Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection written by Shilpa Mahajan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Computers categories.
APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.
Distributed Computing And Artificial Intelligence Special Sessions I 21st International Conference
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Author : Rashid Mehmood
language : en
Publisher: Springer Nature
Release Date : 2025-03-10
Distributed Computing And Artificial Intelligence Special Sessions I 21st International Conference written by Rashid Mehmood and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Computers categories.
This book presents applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing. This edition brings together experience, current work, and promising future trends related to distributed computing, artificial intelligence, and their applications to provide efficient solutions to real-world problems. Given the conference's success, this edition features twelve special sessions covering a wide range of topics related to AI and other areas of interest. These sessions were carefully curated to address the latest advancements and challenges in fields such as machine learning, neural networks, IoT, big data, and blockchain, among others. The accepted papers from these sessions are presented in two volumes, showcasing the diverse and innovative research being conducted in these domains. This is the first volume, which includes the sessions: Artificial intelligence for enhanced cyber security (AI4CS), AI-driven methods for multimodal networks and processes modeling (AIMPM), computational linguistics, information, reasoning, and AI (CLIRAI), novel technologies for smart industry and mobility (SmartMob), intelligent Internet of things security and privacy (WISP) and revolutionizing carbon farming by nature-based business models and emerging innovations in the field of artificial intelligence, satellite and green technologies (INNO4CFIS), each focusing on specific themes within the broader scope of AI and its applications. The DCAI’24 technical program has selected 74 papers in special sessions and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the University of Salamanca (Spain). The authors would like to thank all the contributing authors, the program committee members, national associations (AEPIA, APPIA, LASI), and the sponsors (AIR Institute).
Artificial Intelligence For Sustainable Development
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Author : Anandakumar Haldorai
language : en
Publisher: Springer Nature
Release Date : 2024-04-12
Artificial Intelligence For Sustainable Development written by Anandakumar Haldorai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-12 with Technology & Engineering categories.
This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.
Handbook Of Intelligent Automation Systems Using Computer Vision And Artificial Intelligence
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Author : Rupali Gill
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-22
Handbook Of Intelligent Automation Systems Using Computer Vision And Artificial Intelligence written by Rupali Gill and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-22 with Computers categories.
The book is essential for anyone seeking to understand and leverage the transformative power of intelligent automation technologies, providing crucial insights into current trends, challenges, and effective solutions that can significantly enhance operational efficiency and decision-making within organizations. Intelligent automation systems, also called cognitive automation, use automation technologies such as artificial intelligence, business process management, and robotic process automation, to streamline and scale decision-making across organizations. Intelligent automation simplifies processes, frees up resources, improves operational efficiencies, and has a variety of applications. Intelligent automation systems aim to reduce costs by augmenting the workforce and improving productivity and accuracy through consistent processes and approaches, which enhance quality, improve customer experience, and address compliance and regulations with confidence. Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence explores the significant role, current trends, challenges, and potential solutions to existing challenges in the field of intelligent automation systems, making it an invaluable guide for researchers, industry professionals, and students looking to apply these innovative technologies. Readers will find the volume: Offers comprehensive coverage on intelligent automation systems using computer vision and AI, covering everything from foundational concepts to real-world applications and ethical considerations; Provides actionable knowledge with case studies and best practices for intelligent automation systems, computer vision, and AI; Explores the integration of various techniques, including facial recognition, natural language processing, neuroscience and neuromarketing. Audience The book is designed for AI and data scientists, software developers and engineers in industry and academia, as well as business leaders and entrepreneurs who are interested in the applications of intelligent automation systems.
Artificial Intelligence Applications And Innovations Aiai 2023 Ifip Wg 12 5 International Workshops
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Author : Ilias Maglogiannis
language : en
Publisher: Springer Nature
Release Date : 2023-06-01
Artificial Intelligence Applications And Innovations Aiai 2023 Ifip Wg 12 5 International Workshops written by Ilias Maglogiannis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Computers categories.
This book constitutes the refereed proceedings of four International Workshops, held as parallel events of the 19th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2023, held in León, Spain, during June 14–17, 2023: the 12th Workshop on Mining Humanistic Data (MHDW 2023); the 8th Workshop on “5G–Putting Intelligence to the Network Edge (5G-PINE 2023); the second Workshop on AI in Energy, Buildings and Micro-Grids Workshop (ΑΙBMG 2023); and the First Workshop on Visual Analytics Approaches for Complex Problems in Engineering and Biomedicine" (VAA-CP-EB 2023). This event was held in hybrid mode. The 37 regular papers presented at these workshops were carefully reviewed and selected from 86 submissions.
Digital Business And Electronic Commerce
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Author : Bernd W. Wirtz
language : en
Publisher: Springer Nature
Release Date : 2021-03-28
Digital Business And Electronic Commerce written by Bernd W. Wirtz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-28 with Business & Economics categories.
This textbook introduces readers to digital business from a management standpoint. It provides an overview of the foundations of digital business with basics, activities and success factors, and an analytical view on user behavior. Dedicated chapters on mobile and social media present fundamental aspects, discuss applications and address key success factors. The Internet of Things (IoT) is subsequently introduced in the context of big data, cloud computing and connecting technologies, with a focus on industry 4.0, smart business services, smart homes and digital consumer applications, as well as artificial intelligence. The book then turns to digital business models in the B2C (business-to-consumer) and B2B (business-to-business) sectors. Building on the business model concepts, the book addresses digital business strategy, discussing the strategic digital business environment and digital business value activity systems (dVASs), as well as strategy development in the context of digital business. Special chapters explore the implications of strategy for digital marketing and digital procurement. Lastly, the book discusses the fundamentals of digital business technologies and security, and provides an outline of digital business implementation. A comprehensive case study on Google/Alphabet, explaining Google's organizational history, its integrated business model and its market environment, rounds out the book.