AI can greatly enhance cybersecurity by detecting and mitigating cyber threats to protect digital infrastructures. Machine learning algorithms analyze large datasets to identify patterns and anomalies indicative of threats, such as unusual network traffic or unauthorized access. AI systems continuously learn from new threats, improving their predictive capabilities.

By automating threat detection and response, AI reduces the time needed to identify and mitigate attacks. It can quickly isolate affected systems, patch vulnerabilities, and block malicious traffic, all without human intervention, minimizing damage and disruption. AI also enhances threat intelligence by aggregating and analyzing data from multiple sources, offering a comprehensive view of the threat landscape. This enables security teams to prioritize threats and allocate resources more effectively.

Moreover, AI assists in identifying and protecting against sophisticated threats like zero-day exploits and advanced persistent threats (APTs), which are challenging for traditional security measures to detect. In summary, AI’s real-time data processing, continuous learning, and automated threat response capabilities make it a powerful tool for improving cybersecurity and safeguarding digital infrastructures.

Hockey became India’s national sport due to its historical significance and dominance on the international stage. The Indian men’s hockey team won its first Olympic gold medal in 1928, initiating a golden era that saw them win six consecutive gold medals until 1956. During this period, hockey emerged as a symbol of national pride and unity, especially before and after India’s independence in 1947. The sport’s widespread popularity and the international acclaim it brought to the country played crucial roles in its recognition as the national sport. Although there has been no official government declaration, hockey’s status as the national sport has been widely accepted and celebrated due to its historical and cultural impact.