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By merging network device monitoring data with big data, artificial intelligence, and machine learning, security analytics identifies sophisticated security risks.
FREMONT, CA: Security analytics insights provide proactive security solutions beyond simple threat detection by collecting, grouping, and studying data points such as network traffic.
The detection of cyber intrusions is becoming increasingly complex. As a result, cybersecurity analytics can assist any firm. Today's organizations rely on massive volumes of data that must be protected. Security analytics is used in a variety of ways to safeguard networks and customer data.
Monitoring and analysis of network traffic: By combining network traffic monitoring data with other event patterns, analysis quickly identifies anomalies and potential threats.
Detecting endpoint threats: Endpoints, including laptops, desktop computers, and mobile devices, are frequently used as attack vectors. Security analysis can swiftly uncover threats targeting any organization's endpoints by monitoring these endpoints.
Identifying and mitigating insider threats: Security analysis quickly detects internal threats by monitoring employee and internet partner behavior. Additionally, security analytics can be used to examine user behaviors in critical areas for any questionable behavior. This covers keystroke and metadata activity monitoring at any user level.
Detecting malicious user threats: Through tracking via user and entity behavior analytics (UEBA), threat detection across an organization is made possible. These solutions employ algorithms and machine learning to create typical behavior before profiling for indicators of malicious activity.
Monitoring data export and exfiltration: By blocking unauthorized communication routes and interfering with users attempting to submit credentials to unapproved websites, security analytics prevents unlawful data copying or downloading. In addition, this procedure thwarts phishing assaults and protects against credential theft.
Automating compliance with rules: By tracking data acquisition, managing personal data flow, and monitoring data activity, security analysis ensures compliance with various regulations. Additionally, analysis tools can alert teams to potential compliance issues and provide audit-ready findings.