Enhancing cybersecurity: The power of artificial intelligence in threat detection and prevention

Authors

  • Mohammed Rizvi Author

Keywords:

Cybersecurity, Artificial Intelligence (AI), threat detection, prevention, incident response system

Abstract

Due to its ability to evaluate security threats in real-time and take appropriate action, artificial intelligence has emerged as a key component of cyber security. AI now has a bigger impact on spotting and stopping attacks that keep businesses on the cutting edge. Threat detection and prevention are the main focus of AI's role in cybersecurity. Artificial intelligence can detect trends and anomalies in network traffic and user behavior that may indicate a potential cyberattack through the use of machine learning algorithms and advanced data analysis. This allows security personnel to respond to potential attacks quickly and proactively. Through predictive modeling, AI can be used to prevent attacks. AI also can recognize potential threats before they occur and take action to avoid them by assessing past attacks and detecting similarities. Creating automated incident response systems is another important function of artificial intelligence in cybersecurity. These systems can evaluate data, identify potential risks, and then work to contain or mitigate the attack, minimizing damage and disruption. Businesses must employ artificial intelligence in cybersecurity to protect their networks and sensitive data from ever changing online threats. Because of its ability to analyze vast volumes of data in real time and automate incident response, AI is swiftly becoming into a key tool for efficient cybersecurity in today's digital environment. In this paper, we will discuss the role of AI in cybersecurity including its uses in threat detection and prevention.

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Published

2023-05-26

Issue

Section

Articles

How to Cite

Rizvi, M. (2023). Enhancing cybersecurity: The power of artificial intelligence in threat detection and prevention. International Journal of Advanced Engineering Research and Science, 10(05). https://i.ihspublishing.com/index.php/ijaers/article/view/243