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 ARTIFICIAL INTELLIGENCE IN CYBER SECURITY -  UGC0725016

The paper "Artificial  Intelligence in Cyber security" explores how artificial intelligence can be used to strengthen the cyber security systems.With the rise of increasing cyber threats all around the world, the authors argue the traditional, rule-based defense methods are no longer sufficient.As a software engineering student interested in AI and robotics, this topic is relevant because it reflects how automation and intelligent systems are shaping the future of digital defense.

This emphasize the growing complexity of cyber attacks and the inability of human operators and technologies to respond effectively to these matters. This also highlights several real world incidents such as 2009 conficker worm attack on french Navy.To illustrate the urgent need for smarter automated responses.This uses a systematic litreature review, analyzing papers from databases like IEEE Xplore, Scopus and Web of science to identify trends in AI applications for cyber security.

                                 Key areas discussed include the use of neutral networks, expert systems, intelligent agents and learning algorithms.The authors explains how neutral systems are being used for intrusion detection, malware analysis and spam filtering. They also explore "Adversarial AI" where attackers exploits AI systems, showing that the same technologies improving cyber security can also be turned against it. It says that the AI offers immense potential to enhance threat detection, and response challenges implementation and cost and ethical use.

The paper succeeds in providing a broad overview of AI techniques relevant to cyber security, making it accessible to both technical and non-technical readers. Its strength lies in the way it connects AI sub fields—like neural networks and machine learning—to practical defense mechanisms. The examples of Google’s Neural Structured Learning and Capgemini’s survey on AI adoption add credibility and real-world grounding.

                              However, the paper has several limitations. First, it reads more like a descriptive literature review than a critical or experimental study. The authors compile secondary data without offering deep analysis or empirical validation. For instance while they mention that AI can enhance intrusion detection, they do not present measurable outcomes or comparisons with traditional systems. Additionally, the methodology lacks transparency—there’s no detailed explanation of how sources were evaluated or weighted in the review. Structurally, the paper sometimes shifts between general AI discussions and cyber security applications without clear transitions, which weakens coherence.

As someone studying software engineering and fascinated by robotics and AI, I found this paper both informative and inspiring.. It reinforced my belief that future cyber security solutions must combine intelligent automation with adaptive learning

The discussion on intelligent agents, for example, made me think about how autonomous robotic systems could one day perform real-time network defense or respond to attacks without human input. I also appreciated the acknowledgement that AI is not foolproof...its effectiveness depends on proper training data, algorithm design, and continuous updates. Reading this paper encouraged me to explore how reinforcement learning or swarm robotics could contribute to cyber security resillience.

Overall, "Artificial Intelligence in Cyber Security " offers a concise  and a valuable overview of how AI technologies are transforming in digital  defense. While the study's general nature limits its analyticial depth, it succseed in outlining the key areas of  innovation and future potential. Its relevance is undeniable in today’s context of AI-driven threats and defenses. From a student’s perspective, the paper is an excellent introduction to the intersection of AI and cyber security, encouraging further exploration into how intelligent systems and robotics can safeguard our digital future.

Artificial Intelligence in Cyber security

 by  Das and Raghav Sandhane