Siem Cyber Security Enable detection,
prevention & remediation of advanced threats


LTS Secure Security Information and Event Management (SIEM), is a technology that provides real-time analysis of security alerts generated by network hardware and applications.

LTS Secure Available as software, appliances, or managed service, SIEM as a service is also used to log security data and generate reports for compliance purposes.

LTS Secure Regarding cloud security, the key purpose of SIEM tools is to respond effectively and in a timely manner to information security threats. AI and ML SIEM carry out thorough analysis and continuous monitoring of all ongoing events.

Hence, LTS Secure SIEM monitoring is necessary because it can be an automated tool to help an enterprise find patterns, filter, clean, and analyze all the data that forms the context of a cyber attack. In short, SIEM as a service protects the IT assets and digital data of corporate organizations.

LTS Secure AI and ML SIEM is capable of offering an effective and efficient means to monitor your network round the clock. Continuous monitoring from SIEM as a service includes all devices, servers, applications, users, and infrastructure components.

Key Features

Log and Data

SIEM ingests logs real-time from an array of sources including servers, security devices, applications, operating systems, etc. and maps valuable information helping manage and control the entire security network through rich insights aiming to maintain a healthy and secure environment.

Threat Intelligence & Log Correlation

Manage and utilize uninterpretable logs generated from various systems and sources with SIEM log correlation. Sift and cipher raw data to better understand the network and correlate it threat intelligence feed and malicious activity within the network.

Notifications & Real
time Alerts

Set up triggered events based on specific data points through logs and correlation phases. On encountering threats, SIEM sends real time alerts for detailed investigation and remediation decreasing Mean-Time-to-Detect (MTTD) and Mean-Time-to-Respond (MTTR).

Analytics & AI

Improve alert prioritization with Artificial Intelligence and Machine Learning to analyze large amounts of log data to detect and identify indicators of compromise, and prevent threats and malicious attacks to the network.


Collect and distribute information like MTTD and MTTR, account activity, suspicious users, terminated accounts etc., in a meaningful way depicting trends and patterns in easily downloadable formats to simplify and support security related decisions and organizational goals.

Key Benefits

Understanding Threats

Monitor logs efficiently and report suspicious events from humongous amount of data generated and collected from various business processes.

Correlate Data

Collect, normalize and analyze logs and ingest threat intelligence feeds directly to understand real indicator of compromise (IOC) to further safeguard the network.

Present Data

With customizable reports, present data in different ways to spot trends, patterns, anomalies etc. and increase visibility and transparency within the network.

Compliance Guideline

Adhere to various compliance legislations like GDPR, CCPA, HIPAA, PCI-DSS etc. through custom SIEM reporting and safeguard data as well as organizations.

Data sheet

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