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And while they should be understood as separate disciplines within an IT organization, ideally these processes would be well integrated to help improve mean time to detection and repair, as well as reduce the number of tickets coming into IT, ultimately lowering IT costs. The two terms are often used interchangeably, however. IT service delivery is different from IT service management ( ITSM) as it’s customer facing, and typically relies on service level agreements (SLAs) to ensure customers are receiving a high level of service. => helping-a-telecom-service-provider-to-remote-user-monitoringService delivery is when an organization or service provider offers users access to IT services, including applications, data storage and other business resources.
Reduction of manual intervention in detecting unauthorized activity.ĭata Sources: FortiGate network logs, Storage application logs, Authentication server logs, and RDS services logs. CSIRT team will continuously monitor the alerts(detections) and perform triaging of the alerts. Real-time visibility to the CSIRT team on user access and authentication activities. 25+ use cases are implemented from 9 different types of data sources. The detections are intimated(notified) to the organization’s CSIRT team via alerts and reports. Implementation of specific use cases to detect all the user access and authentication activities. Monitoring and analyzing access and authentication logs of various services using Splunk Enterprise. Providing secure remote access to the employees regardless of their location. check where the risk is happening by using security use cases. Improve current security posture where they can monitor remote users, security incidents &. Due to the change in the remote work model, employees accessing sensitive data is a big concern and the visibility to monitor the user activity has become essential in this work scenario. This problem is due to a change in the work model, where employees accessing sensitive data is a big concern and visibility to monitor the user activity has become essential in this work scenario. The Telecom Service Utility has been facing the challenge of monitoring and analyzing the access and authentication activities of its users while they are working remotely. Essential for sensitive data protection and visibility in new work model. => Telecom Service Utility struggles to monitor remote user access and authentication. => Helping a telecom service provider to remote user monitoring => Power distribution organisation aims to detect insider threat via suspicious upload/download activity with focus on ML capabilities for anomaly detection. => power-distribution-firm-seeks-ml-to-detect-data-transfer-anomalies => posts/March2023/7dRwSVXLelMbeWGpIB9O.png Monitored Systems/Data Sources: Squid proxy logs. Reduced manual effort around log and alert review. The selected model was packaged and deployed in the production environment successfully. Multiple ML models were evaluated for detecting suspicious uploads (or) downloads activity. Utilized Splunk MLTK app to visualize data, model the data and evaluate the model performance. 
Leveraged Splunk Enterprise for integration, aggregation, and cleaning/transformation of data. False positive reduction: Using traditional SIEM rules generates many false positive alerts, and so focus is to leverage ML capabilities for anomaly detection. Security threat: Identify malicious insiders who might leak sensitive data from the power utility. A leading power distribution organization wants to monitor its insider threat using the abnormal or suspicious upload (or) download activity by the user. => Power distribution organisation aims to detect insider threat via suspicious upload/download activity with focus on ML capabilities for anomaly detectionĭetecting Abnormal or suspicious upload (or) download activity by a user using a Machine learning model. => Power distribution firm seeks ML to detect data transfer anomalies Illuminate\Database\Eloquent\Collection Object
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