Using Big Data Analytics in the Fight Against Cybercrime
Big data can be defined as a huge amount of structured and unstructured information that because of its large size, cannot be processed using traditional database and software techniques. It has become increasingly utilized by companies as a way of discovering patterns and trends in behavior, while it also allows for advanced threat detection. This interesting information came to us from HackRead in their article, “How big data analytics helps enterprises improve cybersecurity.”
The big data analytics market was worth an estimated $203 billion back in 2017. As companies look to adequately protect themselves against the growing threat of cybercrime and handle ever-growing volumes of data, the value of the market continues to increase.
Today’s data is so enormous that it’s no longer possible to sift through it manually. Enter big data analytics. It relies on automated tools that apply artificial intelligence (AI), machine learning and deep learning to handle huge datasets.
Big data analytics can also map your ecosystem continuously and analyze the root cause of security breaches, helping you understand the vulnerabilities in your system.
Keeping data safe from cybercriminals is critical. We are the intelligence and the technology behind world-class explainable AI solutions that offer results.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
