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The main function of IBM® QRadar® SIEM (Security Information and Event Management) is to manage network security by monitoring data flows and events, allowing the application (enforcement) of security policies defined for  traffic situations of data packets and actions in the companies' computing environment, including the behavior of internal users. Thus, IBM QRADAR allows the  detection, analysis and action when potentially malicious or unusual events happen within the organization's computing structure.

IBM QRadar provides intelligence in monitoring processes. This is essential because the volume of user activity, network flows and everyday user actions is relevant. We could say that it would be humanly impossible to analyze such a volume of events within a reasonable time frame for action to combat policy violations or cyber attacks.  With that in mind, IBM QRadar has mature algorithms, robustness and performance to perform this task.

IBM QRadar supports the four essential pillars of a digital information protection system and helps companies address the most relevant security challenges. The pillars are: visibility, detection, investigation automation and integrated response.

IBM QRadar: Provides full visibility of the entire environment,  collecting data from endpoints, network devices, cloud environments and even other data sources. It then applies sophisticated analytics to prioritize the most critical threats.  Analytical intelligence processes are interesting options for identifying and analyzing incidents more quickly, in addition to  provide in-depth research capabilities so threats can actually be proactively detected and responded to accordingly, directly through integration with IBM Security Resilient or other existing components in the organization.


In times of data privacy laws, the company also needs to notify the compliance group in case of possible threats against the data privacy of the people involved with the organization.

Features like reports, charts and analytics dashboards are really great, but the ultimate goal is to provide the tools and methods the business needs to quickly and accurately tackle the most important and ongoing challenges regarding cyber attacks and inappropriate user behavior, (whether around advanced threats, insider threats, or risks in the cloud environment). The combination of IBM QRADAR and MD2 QUALITY MANAGER is perfect to provide the GDPR compliance group with all relevant information on the topic so that the inherent negotiations can be carried out. Any incident related to information security that involves personal data, with which the company has a business relationship, whether a customer, a prospect or an employee as examples, with or without direct damages to these holders or the company, the incidents must be recorded. and explained. Thus, the compliance group will decide how to report the facts and their dealings to the company's top management, legal, business areas, to the ANPD (as provided for by law) and to the owner himself.

The User Behavior Analytics Component of QRadar

IBM QRadar® User Behavior Analytics (UBA) analyzes user activity to detect malicious insider activity and determine whether a user's credentials have been compromised. Security analysts can easily identify users with behavior inappropriate to established policies, or with suspected malicious activity,  and break down additional and interconnected log and flow data that contributed to a user's risk score. As an integrated component of the QRadar Security Intelligence Platform, UBA uses behavior rules and out-of-the-box machine learning (ML) models to include user context in network, log, vulnerability, and threat data to detect attacks with greater speed and accuracy.


Detecting and investigating insider threats with IBM QRadar User Behavior Analytics.

Protection against insider threats continues to be a high-priority topic for enterprise information security departments. IBM's offering for this specific item is the IBM QRadar UBA, which analyzes user activities in applications and databases, on endpoints  and on the corporate network, whether in the cloud or on-premises. IBM UBA checks event logs and flows to understand the normal activity model of users and thus be able to detect abnormalities.

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52 : As shown in the dashboard, the security analyst can have a broad view of the monitored and fit environment  quickly perform more specific analyzes based on some abnormal situation of one or more users.

Analyzes are backed up as user risk scores or users with most recent risk activities. Or even creating multiple watchlists.


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