Leveraging AI and ML for Advance Cyber Security

Authors

  • Abhishek Shukla USA Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)142

Keywords:

Artificial Intelligence, Machine Learning, Cybersecurity, Cyberattacks, Automating Routine Task, Enabling Predictive Analysis, Improving Threat Detection, Digital Threat

Abstract

In the era of technology, where almost all tasks are performed through online means. Therefore, a risk cyber-attacks is quite high. Moreover, the cyber threats are continually evolved in complexity and scale, the integration of artificial intelligence and machine learning technologies stands as a beacon of hope for bolstering cybersecurity. This research article will delve into the transformative potential of Machine Learning and Artificial Intelligence in elevating various cybersecurity defenses to an advanced level. Due to this, by analyzing the extensive dataset in real-time, it is possible to exhibit the capacity to detect anomalies, impending attacks, predict and provide proactive response to different cyberattacks. It will lead towards a heralding a new paradigm in cybersecurity. Through automating routine tasks, enabling predictive analysis and improving threat detection, the cybersecurity can be minimized. It can be done through applying machine learning and Artificial intelligence as indispensable tools in safeguarding digital assets. Furthermore, the successful implementation requires expert guidance, ongoing monitoring, and holistic cybersecurity approach. With increased technology, the digital threat landscape
continues to evolve and the fusion of AI and ML with cybersecurity emerges as a pivotal strategy for securing the digital frontier. 

Author Biography

  • Abhishek Shukla, USA

    Abhishek Shukla, USA. 

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Published

2022-12-19

How to Cite

Leveraging AI and ML for Advance Cyber Security. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(4), 1-4. https://doi.org/10.47363/JAICC/2022(1)142

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