Big data applications in cybersecurity
Big data has become increasingly relevant in cybersecurity because it can unlock insights and identify patterns that may indicate cyber threats. Organizations and analysts use big data to improve their cybersecurity posture by enhancing their threat detection and mitigation capabilities.
One significant application of big data in cybersecurity is TI. TI involves collecting and analyzing large volumes of data from various sources to identify patterns and trends in cyber-attacks. Big data techniques such as ML, data mining, and NLP are used to extract and analyze information from structured and unstructured data sources. This information is used to build threat models that help organizations and analysts identify and respond to emerging cyber threats more quickly and effectively. TI has become a critical component of cybersecurity, enabling defenders to stay ahead of cybercriminals and protect against sophisticated attacks.
Another application...
