LTS Cyber Security Analytics for Threats Detection

Posted by Rahul Verma on November 13th, 2018

LTS Secure Intelligence Driven SOC is integrated Context-aware Security protection platforms that provides and integrate prediction, prevention, detection and response capabilities by leveraging adaptive security framework. LTS Secure comprehensive SOC provides continuous monitoring for all layers of the IT stack: network packets, flows, OS activities, content, Identities, user behaviors and application transactions for protection from advanced threats using integrated Adaptive Security framework. We move enterprise from “incident response” to “continuous response”, by supporting network security monitoring 24 * 7 of all layers events, activities and transactions and continuous threat protection process. LTS Cyber Security Analytics LTS Secure advanced User Entity Behavior Analytics (UEBA) provides context to behavioral analysis, which makes it easier to identify internal security threats and find individual offenders. LTS Secure UEBAs allow for quicker detection by using machine learning and mathematical algorithms to detect insider threats. As the name implies, user and entity behavior analytics helps businesses detect targeted attacks, financial fraud, and insider threats.It is generally used to analyze users as they may have intentions to steal sensitive information of your business. LTS Secure User Entity Behavior Analytics provides architecture with the breadth of Identity Access Intelligence to User Behavior Analytics, and the depth from cloud apps to on-premises behavior. Various Use Cases of LTS Secure Cyber Security Analytics are as :

• Identify New Privileged Accounts
• Track Data Access & Retreat
• Account Hijacking & Privileged Account Abuse
• Cloud Application Compromise
• Unusual Behavior: User, Device, & Application
• Malware Detection & Lateral Movement
• Identity and Risk Analytics

To know more about the Use Case's benefits of Cyber Security Analytics