Big data refers to collecting, storing, and analyzing a large amount of structured, semi-structured, and unstructured data. Big data analytics can be viewed as a system that buys crude oil and turns it into fuel in the modern world, where data is the new oil. Big data analytics is a boon for the cyber security industry as it helps detect unexpected cyber threats through real-time fraud detection. The automated monitoring and threat detection system in big data analytics boosts security intelligence. Big data analytics is a game changer in this digital world. 

Big data analytics is a powerful tool for cyber security because it enables organizations to process and analyze vast amounts of data in real-time, identifying and responding to security threats as they occur. Here are some ways big data analytics can be used for cyber security:

1. Detecting anomalies: Big data analytics can be used to identify patterns and anomalies in network traffic, user behavior, and other sources of data that might indicate a security threat. By analyzing large amounts of data in real-time, organizations can quickly identify potential threats and take action to prevent them.
2. Predictive analytics: Big data analytics can also be used to identify potential security threats before they occur. By analyzing historical data and identifying patterns, organizations can predict future threats and take proactive measures to prevent them.
3. Real-time monitoring: Big data analytics can enable real-time monitoring of network traffic, user activity, and other sources of data. This allows organizations to quickly detect and respond to security threats as they occur, minimizing the potential damage.
4. Forensic analysis: In the event of a security breach, big data analytics can be used to conduct forensic analysis, identifying the source of the breach and the extent of the damage. This can help organizations to take steps to prevent future breaches and to mitigate the damage caused by the current one.
5. Threat intelligence: Big data analytics can be used to gather and analyze threat intelligence data from a variety of sources, including social media, dark web forums, and other sources. This can help organizations to stay up-to-date on the latest security threats and to take proactive measures to prevent them.