Significant data protection for all types of businesses has the potential of most security tools. Most firewall and antivirus (AV) providers use big data to improve their tools ' capabilities to train and optimize their offerings.
FREMONT, CA: The term big data is used to describe the use of large information sets that are too complex for conventional processes. Big data analytics is coming in at this juncture. This technology enables security teams to analyze more data on logs and events than traditional cybersecurity solutions. The Security Operations Center (SOC) analysts leverage big data to automate various operations, such as rules for correlation, which can drastically reduce the number of false positives the system generates.
Both machine learning (ML) and deep learning (DL) made the meteoric rise of big data possible. ML and DL technologies may process the system's vast amounts of data and evaluate trends that may signify a cyber threat. The biggest challenge about significant data protection is preparing and managing enormous volumes of data on time and also allowing for quicker incident response (IR) and exploitation of useful information that the security team can use.
Here are some of the web security solutions that leverage big data to make the understanding of the benefits of significant data insecurity.
Intrusion Detection System (IDS)
User Entity and Behavior Analytics (UEBA)
UEBA is a data management platform specifically designed to provide insight into known threats and behavioral changes in user data, essential to detecting user-based hazards that cannot be identified using traditional methods.
Incident Response (IR)
It is a security approach for various incidents, such as cyber-attacks and breaches of security. The response to the incident aims to locate, recognize, isolate, and eliminate the event's source. While the answer to the incident is not a new thing, big data has allowed some crucial IR changes and will result in more effective, sophisticated, and capable IR solutions.
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