{"id":11817,"date":"2022-06-29T15:38:50","date_gmt":"2022-06-29T15:38:50","guid":{"rendered":"https:\/\/arconnet.com\/?p=6732"},"modified":"2026-03-24T16:26:28","modified_gmt":"2026-03-24T10:56:28","slug":"privileged-threat-analytics-leveraging-arcon-pams-advanced-features","status":"publish","type":"post","link":"https:\/\/arcon.xyz\/staging01\/privileged-threat-analytics-leveraging-arcon-pams-advanced-features\/","title":{"rendered":"Privileged Threat Analytics: Leveraging ARCON | PAM\u2019s advanced features\u00a0"},"content":{"rendered":"

The Context<\/b><\/p>\n

A robust privileged session reporting engine is at the cornerstone of secure privileged access management frameworks. Organizations require reporting tools to ensure regulatory compliance, audit readiness, and regular IT security assessments in a privileged access environment.<\/span><\/p>\n

The demand for frequent and random analysis of privileged sessions is increasing day by day due to the rapid expansion of privileged access environments. A reporting tool fulfills the requirement of comprehensive vigilance of hundreds of privileged users and their activities in a vast critical privileged access environment.<\/span><\/p>\n

However, in the recent past, IT security experts have expected the reporting mechanism to go beyond just the identification and detection of end-user anomalies.\u00a0<\/span><\/p>\n

The analytical user data received from the reports is expected to be more fine-grained in nature and should allow the IT risk management team to do risk predictive analysis. While doing the IT security assessments from the automated reports, the data needs to give an analytical overview of the user’s behaviour, his or her tendencies, and the risks involved (if any). In addition, IT risk management teams expect deeper analysis from the logged data to understand the work\/privileged session patterns.<\/span><\/p>\n

To address these contextual use-cases in an enterprise setup, ARCON emphasizes the importance of deploying three advanced analytics tools. These tools, once leveraged with privileged access management, will significantly improve the <\/span>privileged access<\/span><\/a> threat landscape.\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n

Let\u2019s drill down deeper<\/b><\/p>\n

While generating reports of the privileged sessions, whether automated or customized,\u00a0 organizations emphasize maximum on the <\/span>IT threat predictive parameters<\/span><\/a>. ARCON Knight Analytics is a highly effective tool.\u00a0<\/span><\/p>\n

I] Knight Analytics<\/i><\/b><\/p>\n

This is an AI-based behaviour analytics tool that uses deep-learning threat detection techniques to assess the level of IT risks. Based on the historic data of the users, the IT risk management team can detect and predict anomalies in the logged data. It assesses the threat percentage from six different graphs and displays the anomalies of the logged data by using machine learning algorithms.<\/span><\/p>\n