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Das, Susanta 2 Agarwarkar, Shalomo 1 Anto Gracious, L. A. 1 Banerjee, Sudipta 1 Bhalerao, Srushtee 1 Bhoopathy, V. 1 Chaturvedi, Kashvi 1 Chaudhari, Sachin Vasant 1 Chaudhary, Sachin 1 Dehankar, Pooja 1 Dinesh, M. G. 1 Dodiya, Kiranbhai R. 1 Girija, P. 1 Jayasutha, D. 1 Kaneti, Venkata Ramana 1 Kumar, Kapil 1 Kundu, Krishanu 1 Kunwar, Fateh Bahadur 1 Mahale, Sunita Vinod 1 Manikandan, S. 1 P., Ashok 1 Patre, Krutika 1 Prabhu, Prathamesh 1 Prabhu, Sandeep 1 Sandeep, C. S. 1 Sankathala, Sunil 1 Saraf, Atharva Haresh 1 Sekti, Binastya Anggara 1 Sharma, Mukesh Kumar 1 Sharma, Rajeev 1 Sharma, Sangeeta 1 Sharma, Vikas 1 Shavali, T. K. Shaik 1 Shrivastav, Aditya 1 Sidharth, M. 1 Subbulakshmi, T. 1 Subburaj, Brindha 1 Vashishth, Aarushi 1 Vashishth, Tarun Kumar 1 Yamini, B. 1
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Machine Learning vs. AI: Key Concepts
Sekti, Binastya Anggara - In: Implementing Enterprise Cybersecurity With AI, (pp. 1-28). 2025
Artificial Intelligence (AI) and Machine Learning (ML) are transformative technologies reshaping industries, particularly in enterprise cybersecurity. AI refers to the broader concept of machines or systems simulating human intelligence, enabling decision-making, problem-solving, and task...
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Artificial Intelligence (AI) in Cybersecurity: Foundations, Applications, and Research Trends
Shrivastav, Aditya; Chaturvedi, Kashvi; Sankathala, Sunil; … - In: Implementing Enterprise Cybersecurity With AI, (pp. 29-56). 2025
AI has been a disruptive technology in the sphere of cybersecurity, followed by an ever-growing more complex threat environment, featuring advanced persistent threats (APTs), ransomware, and zero-day exploits that would usually overcome conventional cybersecurity defenses. AI is the architecture...
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AI-Driven Threat Detection and Prevention: Enhancing Cybersecurity with Machine Learning and Predictive Intelligence
Vashishth, Tarun Kumar; Sharma, Vikas; Sharma, Sangeeta; … - In: Implementing Enterprise Cybersecurity With AI, (pp. 57-84). 2025
The rapid changes in the cyber threat landscape in the digital age have changed the design of security mechanisms to support proactive and adaptive security capabilities that can detect, predict, and respond to attacks in real time. This chapter discusses the potential of integrating Artificial...
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Anomaly Detection With Machine Learning
Shavali, T. K. Shaik; Mahale, Sunita Vinod; Manikandan, S. - In: Implementing Enterprise Cybersecurity With AI, (pp. 85-110). 2025
The structures know how to observe activity utilizing actual data thanks for cutting intelligence procedures. In order for systems to demonstrate action that is derived from previous interactions, procedures that are founded on those interactions can be developed. In order to identify...
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Comprehensive AI-Driven Approach to Cybersecurity in Fifth-Generation Networks
P., Ashok; Prabhu, Sandeep; Bhalerao, Srushtee; Prabhu, … - In: Implementing Enterprise Cybersecurity With AI, (pp. 111-134). 2025
The AI-enabled risk management framework for 5G networks represents a significant advance in telecommunications security, in particular addressing the challenges posed by next-generation 5G networks. The key aspect of this article is to integrate established risk management principles with...
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Leveraging Artificial Intelligence for Advanced Threat Detection and Autonomous Response in Cybersecurity
Kaneti, Venkata Ramana; Jayasutha, D.; Yamini, B.; … - In: Implementing Enterprise Cybersecurity With AI, (pp. 135-160). 2025
The increasing complexity and volume of cyber threats demand advanced solutions beyond traditional methods. This chapter explores the integration of emerging Artificial Intelligence (AI) technologies in cybersecurity, highlighting their transformative role in threat detection, prevention, and...
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Utilization of Packet Tracer for Strengthening Network Security: Methods, Implementation, and Assessment
Kundu, Krishanu - In: Implementing Enterprise Cybersecurity With AI, (pp. 161-180). 2025
DHCP servers play a crucial role in dynamically allocating IP addresses and optimizing resource utilization. When a user types a domain name into their web browser, DNS servers translate it into IP addresses and point users to the relevant server. A web server's main job is to store, process,...
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Machine Learning in Cyber Security: A Literature Review
Dehankar, Pooja; Banerjee, Sudipta; Das, Susanta - In: Implementing Enterprise Cybersecurity With AI, (pp. 181-200). 2025
Rise in cyber-attacks has prompted organizations to change to a smarter & more proactive approach to cyber security. ML is a component of a larger AI ecosystem, & has really disrupted our thinking around cyber security. This chapter will examine the application of ML in the domain of cyber...
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Next Generation Firewall: A Comprehensive Analysis and Practical Applications
Subburaj, Brindha; Subbulakshmi, T.; Sidharth, M. - In: Implementing Enterprise Cybersecurity With AI, (pp. 201-228). 2025
This chapter provides an extensive discussion on Next Generation Firewalls (NGFWs) and its significance in the recent security infrastructure. Tradition firewalls filters traffic using packet metadata, whereas NGFWs are bundled with security features like application and user awareness, Deep...
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The Phishing Epidemic: Threats, Techniques, and Countermeasures
Agarwarkar, Shalomo; Dodiya, Kiranbhai R.; Kumar, Kapil - In: Implementing Enterprise Cybersecurity With AI, (pp. 229-256). 2025
Phishing scams, often seen as simple tricks, actually use complex tactics causing major financial, digital, and personal losses globally. Exploiting human behavior and urgency, attackers deceive victims through fake websites, messages, calls, and more. As technology evolves, phishing grows more...
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