Improving Cyber Security: Artificial Intelligence's Ability to Detect and Stop Threats

Subha Laxmi, Satish Kumar

Cyber Security, Artificial Intelligence, Threat identification, Predictive modeling, Machine learning

Artificial intelligence has become a crucial element of cyber security because of its capacity to assess security threats instantly and respond appropriately. Nowadays, AI plays a more significant role in identifying and thwarting attacks that keep companies innovative. The primary goals of artificial intelligence in cybersecurity are threat identification and mitigation. Artificial intelligence uses machine learning algorithms and sophisticated data analysis to identify patterns and abnormalities in user behavior and network traffic that can point to a possible cyberattack. Artificial Intelligence can help stop attacks by using predictive modeling. AI is also capable of anticipating dangers and preventing them by analyzing historical attacks and finding patterns. Automated incident response system creation is just another crucial cybersecurity use of artificial intelligence. These systems can assess data, spot possible threats, and then take action to lessen the impact of the attack by containing it or mitigating its effects. Artificial intelligence must be used by businesses in cybersecurity to safeguard their networks and sensitive data against ever-evolving online threats. Artificial intelligence (AI) is quickly emerging as a crucial tool for effective cybersecurity in today's digital environment due to its capacity to evaluate massive volumes of data in real-time and automate incident response. The importance of artificial intelligence (AI) in cybersecurity, particularly its applications in threat identification and defense.

Received: 29 Apr 2024, Receive in revised form: 30 May 2024, Accepted: 11 Jun 2024, Available online: 17 Jun 2024

10.22161/ijaers.116.3