Securing The Future Cybersecurity Strategies With Ai Ml And Generative Ai
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Securing The Future Cybersecurity Strategies With Ai Ml And Generative Ai
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Author : Purshotam Singh Yadav
language : en
Publisher: JEC PUBLICATION
Release Date :
Securing The Future Cybersecurity Strategies With Ai Ml And Generative Ai written by Purshotam Singh Yadav and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Young Adult Nonfiction categories.
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Ai In Cybersecurity
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Author : Leslie F. Sikos
language : en
Publisher: Springer
Release Date : 2018-09-27
Ai In Cybersecurity written by Leslie F. Sikos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Technology & Engineering categories.
This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
Vulnerabilities Assessment And Risk Management In Cyber Security
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Author : Hussain, Khalid
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Vulnerabilities Assessment And Risk Management In Cyber Security written by Hussain, Khalid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
Vulnerability assessment and risk management are critical components of cybersecurity, focusing on identifying, evaluating, and mitigating potential threats to an organization’s digital infrastructure. As cyberattacks become more sophisticated, understanding vulnerabilities in software, hardware, or networks is essential for preventing breaches and safeguarding sensitive data. Risk management analyzes the potential impact of these vulnerabilities and implements strategies to minimize exposure to cyber threats. By addressing both vulnerabilities and risks, organizations can enhance their resilience, prioritize resources, and ensure a strong defense against new cyber challenges. Vulnerabilities Assessment and Risk Management in Cyber Security explores the use of cyber technology in threat detection and risk mitigation. It offers various solutions to detect cyber-attacks, create robust risk management strategies, and secure organizational and individual data. This book covers topics such as cloud computing, data science, and knowledge discovery, and is a useful resource for computer engineers, data scientists, security professionals, business owners, researchers, and academicians.
Generative Ai And Implications For Ethics Security And Data Management
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Author : Gomathi Sankar, Jeganathan
language : en
Publisher: IGI Global
Release Date : 2024-08-21
Generative Ai And Implications For Ethics Security And Data Management written by Gomathi Sankar, Jeganathan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.
As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.
Utilizing Generative Ai For Cyber Defense Strategies
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Author : Jhanjhi, Noor Zaman
language : en
Publisher: IGI Global
Release Date : 2024-09-12
Utilizing Generative Ai For Cyber Defense Strategies written by Jhanjhi, Noor Zaman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Computers categories.
As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digital data, and ensure safe business processes. Utilizing Generative AI for Cyber Defense Strategies explores the utilization of generative AI tools in organizational cyber security and defense. Strategies for effective threat detection and mitigation are presented, with an emphasis on deep learning, artificial intelligence, and Internet of Things (IoT) technology. This book covers topics such as cyber security, threat intelligence, and behavior analysis, and is a useful resource for computer engineers, security professionals, business owners, government officials, data analysts, academicians, scientists, and researchers.
Unveiling The Nist Risk Management Framework Rmf
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Author : Thomas Marsland
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-30
Unveiling The Nist Risk Management Framework Rmf written by Thomas Marsland and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Computers categories.
Gain an in-depth understanding of the NIST Risk Management Framework life cycle and leverage real-world examples to identify and manage risks Key Features Implement NIST RMF with step-by-step instructions for effective security operations Draw insights from case studies illustrating the application of RMF principles in diverse organizational environments Discover expert tips for fostering a strong security culture and collaboration between security teams and the business Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis comprehensive guide provides clear explanations, best practices, and real-world examples to help readers navigate the NIST Risk Management Framework (RMF) and develop practical skills for implementing it effectively. By the end, readers will be equipped to manage and mitigate cybersecurity risks within their organization. What you will learn Understand how to tailor the NIST Risk Management Framework to your organization's needs Come to grips with security controls and assessment procedures to maintain a robust security posture Explore cloud security with real-world examples to enhance detection and response capabilities Master compliance requirements and best practices with relevant regulations and industry standards Explore risk management strategies to prioritize security investments and resource allocation Develop robust incident response plans and analyze security incidents efficiently Who this book is for This book is for cybersecurity professionals, IT managers and executives, risk managers, and policymakers. Government officials in federal agencies, where adherence to NIST RMF is crucial, will find this resource especially useful for implementing and managing cybersecurity risks. A basic understanding of cybersecurity principles, especially risk management, and awareness of IT and network infrastructure is assumed.
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning
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Author : Goel, Pawan Kumar
language : en
Publisher: IGI Global
Release Date : 2024-08-22
Strategies For E Commerce Data Security Cloud Blockchain Ai And Machine Learning written by Goel, Pawan Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-22 with Business & Economics categories.
In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai
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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai written by Dr Sivaraju Kuraku and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Fiction categories.
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Smart And Agile Cybersecurity For Iot And Iiot Environments
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Author : Al-Haija, Qasem Abu
language : en
Publisher: IGI Global
Release Date : 2024-07-18
Smart And Agile Cybersecurity For Iot And Iiot Environments written by Al-Haija, Qasem Abu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-18 with Computers categories.
The world we live in today is highly interconnected and has seen a significant rise in the use of the Internet of Things (IoT) and Industrial Internet of Things (IIoT). This digital transformation, while beneficial, has also created new cybersecurity challenges. Cyber threats are becoming more sophisticated and frequent, and individuals and organizations alike must adopt intelligent and agile cybersecurity solutions to safeguard their digital assets. Smart and Agile Cybersecurity for IoT and IIoT Environments addresses this pressing challenge by providing a comprehensive guide to securing IoT and IIoT environments. The book offers insights into the latest cybersecurity strategies and technologies, from intelligent threat detection to agile security approaches. By delving into data privacy, network security, and incident response, readers can gain the knowledge and skills to fortify their cybersecurity posture and mitigate risks effectively.
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.