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Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection

  • Dr. Jeevesh Sharma
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Cybersecurity Unlocked
Ein Kapitel aus dem Buch Cybersecurity Unlocked

Abstract

Artificial intelligence (AI), threat detection, and cybersecurity have become crucial for businesses looking to safeguard their digital assets because of the rapid advancement of technology in our day and age. This integrated approach enhances real-time threat detection capabilities and fortifies cybersecurity efforts by leveraging the benefits of AI. By employing advanced data analysis and machine learning algorithms, organizations can identify trends, anomalies, and potential vulnerabilities within their networks, facilitating proactive defense strategies. This chapter explored how AI, and cybersecurity can work together to make security stronger. A whole and integrated plan can help organizations become better at finding threats and build a culture of security knowledge and resistance. The chapter also presented some of the cases of the integration of AI in cybersecurity and threat detection. The chapter emphasizes the positive aspects of using AI in cybersecurity, as well as the associated obstacles and potential of this integration.

Abstract

Artificial intelligence (AI), threat detection, and cybersecurity have become crucial for businesses looking to safeguard their digital assets because of the rapid advancement of technology in our day and age. This integrated approach enhances real-time threat detection capabilities and fortifies cybersecurity efforts by leveraging the benefits of AI. By employing advanced data analysis and machine learning algorithms, organizations can identify trends, anomalies, and potential vulnerabilities within their networks, facilitating proactive defense strategies. This chapter explored how AI, and cybersecurity can work together to make security stronger. A whole and integrated plan can help organizations become better at finding threats and build a culture of security knowledge and resistance. The chapter also presented some of the cases of the integration of AI in cybersecurity and threat detection. The chapter emphasizes the positive aspects of using AI in cybersecurity, as well as the associated obstacles and potential of this integration.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age 1
  4. Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats 31
  5. Chapter 3 Data Science for Threat Detection and Analysis 59
  6. Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection 87
  7. Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection 103
  8. Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing 141
  9. Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection 161
  10. Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network 177
  11. Chapter 9 Light POW for Smart Grid Communication 201
  12. Chapter 10 Zero Trust Architecture – A Beginner’s Guide 227
  13. Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks 265
  14. Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication 287
  15. Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity 313
  16. Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments 343
  17. Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning 365
  18. Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques 385
  19. Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques 413
  20. Chapter 18 Firewall and IDS in Cybersecurity 439
  21. Index
https://doi.org/10.1515/9783111712895-004

Kapitel in diesem Buch

  1. Frontmatter I
  2. Contents V
  3. Chapter 1 Emerging Cyber Threats: Challenges, Impacts, and Proactive Defenses in the Digital Age 1
  4. Chapter 2 Silent Guardians: Proactive Approaches to Modern Cyber Threats 31
  5. Chapter 3 Data Science for Threat Detection and Analysis 59
  6. Chapter 4 An Integrated Approach: Merging Cybersecurity, AI, and Threat Detection 87
  7. Chapter 5 Cybersecurity Analytics: A Review of Challenges and the Role of Machine Learning and Deep Learning in Threat Detection 103
  8. Chapter 6 Hardware-Based Authentication Techniques for Secure Data Transmission in IoT Edge Computing 141
  9. Chapter 7 Securing the IoT Networks Using a Deep Learning Paradigm for Intrusion Detection 161
  10. Chapter 8 Hybrid Malware Detection and Classification Using Explainable Deep Neural Network 177
  11. Chapter 9 Light POW for Smart Grid Communication 201
  12. Chapter 10 Zero Trust Architecture – A Beginner’s Guide 227
  13. Chapter 11 Post-quantum Cryptography for Enhanced Authentication in Mobile Data Communication: Resilience Against Quantum Attacks 265
  14. Chapter 12 Two-Factor Authentication (2FA) and Multi-factor Authentication (MFA) Solutions for Secure Mobile Data Communication 287
  15. Chapter 13 Artificial Intelligence and Machine Learning in Cybersecurity 313
  16. Chapter 14 Enhancing IoT Security with Zero Trust Networking: Protecting Wireless Sensors, Edge Devices, and Cloud Environments 343
  17. Chapter 15 Biometric Authentication Methods for Mobile Devices: Exploring Fingerprint, Face Recognition, and Iris Scanning 365
  18. Chapter 16 Robust Dynamic Voice-Based Key Generation Using Novel Fuzzy Extraction, Averaged Thresholding, and Hamming Enhancement Techniques 385
  19. Chapter 17 Enhancing Cybersecurity with Artificial Intelligence and Machine Learning Techniques 413
  20. Chapter 18 Firewall and IDS in Cybersecurity 439
  21. Index
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Heruntergeladen am 24.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/9783111712895-004/html
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