How Does Linkshadow AI Detect Abnormal Behaviour
- Behavioral analytics: Linkshadow NDR uses behavioral analytics to identify users who are suddenly exhibiting unusual behavior, such as logging in from a different location or making many changes to their account settings. This could be a sign of a compromised account, and Linkshadow NDR could generate an alert to notify security analysts.
- Correlation: Linkshadow NDR uses correlation to identify relationships between different events. For example, Linkshadow NDR might identify a correlation between a user who is suddenly sending many emails to unknown recipients and a surge in network traffic to a known malicious website. This could be a sign of a phishing attack, and Linkshadow NDR could generate an alert to notify security analysts.
- Visualization: Linkshadow NDR uses visualization to help security analysts understand the data that is being analysed. For example, Linkshadow NDR might create a graph that shows the number of alerts that have been generated over time. This could help security analysts to identify trends and patterns that might indicate malicious activity.
- Reduced false positives: AI can help to reduce the number of false positives by identifying patterns in network traffic and user behavior that are likely to be malicious. This can help organizations to save time and resources.
- Improved response times: AI can help to improve response times to security incidents by quickly identifying potential threats and taking appropriate action. This can help to reduce the impact of cyberattacks.
- Increased visibility: AI can help organizations to gain increased visibility into their network traffic and user behavior. This can help organizations to identify potential threats more quickly.