SIEM Qradar | Features of IBM SIEM Qradar


A brief introduction to IBM SIEM Qradar:

SIEM Qradar is a powerful security intelligence tool and offers cross-environment support. SIEM Qradar is a child product of the company “IBM”. The main aim to develop this tool is to provide accurate detection and prioritize the threats across multiple enterprises. This SIEM Qradar also offers data intelligent insight that helps the team to notify and respond quickly to any threat incident that happens. IBM SIEM Qradar can also be implanted in a cloud environment and on premise infrastructure to protect the data and devices. The core functionalities of IBM SIEM Qradar included are data collection and flow collections. Flow data consists of information about network activity information and hosts information between any two networking servers.

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Overview of IBM SIEM Qradar:

As we discussed above, IBM SIEM Qradar is a security and data protection platform, mainly developed to secure the business data, reduces risk, and protect the device from any kind of threats. There are various IBM SIEM Qradar console components are available such as Qradar product interface, flow views, administrative functions, asset information, reports, real time events, and offenses. Sometimes this Qradar acts as a host between any two networking sessions to protect the business data. One more important function of SIEM Qradar is to collect the IDS AND IPS cisco events with the help of SDEE protocol or commonly known as “Security device event exchange”.

The architecture of Qradar:

The Qradar architecture defines the core functionality and work nature of the system. In this section, we are going to determine the overall functionality of Qradar:

The following diagram explains the Qradar Architecture:

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The core functionalities of IBM SIEM Qradar included are data collection, process, integrate, aggregate, and store them in an appropriate data base management system. Qradar platform makes use of these data to manage network security by offering real-time information, monitoring, and responds to various network threats. IBM SIEM Qradar architecture is based on a modular architecture that supports real-time data visibility of any information technology information, and also helps for threat detections. There are various Qradar modules included are Qradar platform, Qradar vulnerability, Qradar data manager, Qradar risk manager, and Qradar incident forensics. The Qradar security intelligence platform composed of three layers they are data collection, data searches, and data processing.

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Qradar core components:

The following are the IBM SIEM Qradar core components, they are;

1. Qradar Console:

a. Qradar console offers the user interface, real time data events, administrative functions, offenses, and asset information.

b. In the distributed Qradar data deployment, we make use of the Qradar console to manage the networking hosts and components functionalities.

2. Qradar event collector:

a. The Qradar event collector helps to collect the events from remote and local log sources and then normalizes the raw data log source events.

b. Usually these event collectors are types of bundles and coalesces identical events to transfer the data to the data processor.

c. The event collector does not store the events locally and parse the events for storage.

d. This event collector will be assigned to an EPS license that matches the Qradar event processor.

3. Qradar Event processor:

a. This Qradar event processor helps to process the events that are collected from one or more event collectors.

b. The event processor processes the Qradar events with the help of the Customs Rules engine (CRE). These events are predefined and execute the action that is specified for the rules.

c. Each event processor consists of local storage and the data will be stored on the Qradar processor.

d. You can also add an event processor component to an all-in-one appliance and each event processing function will be moved from the all-in-one appliance to the Qradar event processor.

4. Qradar Qflow collector:

a. The Qradar flow collector helps to collect the data flows by connecting them to the SPAN port or any networking TAP portal.

b. These types of Qradar Qflow collectors are not designed for full packet capture systems. To get the full packet capture you need to review the incident forensic options.

c. User can also install a Qradar Qflow collector on their own hardware system and also enables you to make use of Qflow collector appliances.

5. Qradar flow processor:

a. The Qradar flow processor helps to flow data from one or more Qflow collector appliances. The flow processor appliance can also be used to collect the external networking data flows they are Net Flow, S flow, and J flow.

b. User can also use the Qradar flow processor appliance to scale the Qradar deployment to maintain the higher data flow per minute.

c. This type of flow processor consists of on board data flow processor and internal storage.

6. Qradar data nodes:

a. This Qradar data node supports new and existing Qradar deployment to ass appropriate storage and processes them as per your requirement.

b. Qradar data node also helps to increase the data search speed and offers more hardware resources to run your device.

7. Qradar App host:

a. This Qradar App host is used to manage the network host to run your applications. App host offers extra data storage, CPU resources, and Memory for your application without affecting the processing capacity of the Qradar console.

b. The applications such as User behavior analytics and machine learning analytics need more resources on the Qradar console.

Qradar appliances:

The following are the various Qradar appliances:

1. Qradar security intelligence platform appliances:

IBM Qradar security intelligence platform is very comprehensive, offers next-generation security solutions and risk management appliances. This appliance offers services like integrated log management, event management, and security services.

2. Qradar security management appliances:

This is a Qradar network security management appliance and related software application. This offers enterprise-level integration with an integrated framework that helps to combine disparate networks.

3. Qradar QFLOW collector appliances for security intelligence:

This IBM Qradar Qflow collector mainly used for security intelligence management appliances and this offers advanced network data analytic solutions.

Features of IBM SIEM Qradar:

Below are the advanced features of IBM SIEM Qradar:

1. Task scanner – the task scanner component scans the specified properties, on a scheduled time intervals. This scanning mechanism executes the tasks when the property value matches a specified value.

2. Script Engine – this scripting engine is a pluggable component module that provides the triggering and plugin points for the Identity management system. It can be performed using JavaScript and Groovy programming language.

3. Policy Service – This component used to apply the validation procedures to objects or properties, when they are updated or created.

4. Audit Logging – Audit logging performs the logging activities of all the relevant system users and also configures the log stores. This uses the reconciliation data as a base for reporting and activity logs to capture the internal and external object’s operations.

5. Repository – This component abstracts the pluggable persistence layer. IDM framework modular provides Reconciliation of data and synchronization with several external data stores like relational databases (RDBMS), LDAP data servers, CSV, and XML files.

The Repository API component uses the JSON-based object model with RESTful automation tool principles. The main purpose of using this component is for testing and embedded instances for Qradar services.

Benefits of IBM SIEM Qradar:

Below are the key benefits of IBM SIEM Qradar:

1. Easy to deploy, scalable model using stackable distributed appliances.

2. Qradar doesn’t require any storage database management system.

3. Offers automatic failover and disaster recovery.

4. Cloud environment, on premise, and hybrid deployment.

5. Software, hardware, and virtual resource deployments.

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Conclusion:

In this IBM SIEM Qradar blog, we have tried to cover basic to core concepts of Qradar and to write them in an understanding purpose we have taken expert guidance. SIEM Qradar is an IBM product and mainly used to protect the business data, devices, and software components from any malware attacks and threats. One more important point to be considered here, this Qradar tool can also be deployed on cloud and on premise environment. If you are working as a security architect, then this blog will be more beneficial.



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SQLite vs PostgreSQL – Table of Content

What is SQLite? 

SQLite is an auto, file-based, and completely open-source relational database management system (RDBMS) that is noted because of its mobility, reliability, and excellent performance even when in low-memory applications. Even if the system fails or there is a power outage, its transactions are ACID-compliant. The SQLite project touts itself as a “serverless” database on its website. Typical relational database systems are deployed as a server process, with programs communicating with the host server via interprocess communication. SQLite, on the other hand, enables any system that utilizes the databases to read and write directly to the database disc file. This makes it easier to set up SQLite because it eliminates the requirement to set up a server process. Similarly, apps using the SQLite database don’t need to be configured; everything they need is to access.

What is PostgreSQL? 

PostgreSQL, or Postgres, describes itself as “the world’s most sophisticated open-source relational database.” It was built with the intention of being highly expandable and consistent with industry standards. PostgreSQL is indeed an object-relational database, which means that while it’s essentially a relational database, it also has features that are more commonly associated with object databases, such as table inheritance and feature overloading. Concurrency is a feature of Postgres that allows it to efficiently handle numerous processes at the same time. It does so without using read locks because it uses Multiversion Concurrency Control (MVCC), maintains the synchronization, coherence, exclusivity, and durability of its transactions, often known as ACID compliance. Although PostgreSQL isn’t as popular as MySQL, it still has a variety of third-party libraries and tools, such as pgAdmin and Postbird, that make dealing with it easier.

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Difference between SQLite and PostgreSQL

However both SQLite & PostgreSQL are available as open Relational Database Management Systems (RDBMS), there may be a few distinctions to consider when picking which one to utilize for your company. The following are the significant distinctions that influence the SQLite vs. PostgreSQL decision:

Database Model
  • SQLite is indeed an embedded database management system. This means it’s a Serverless DBMS that can be used within your apps.
  • To set up and run across a network, the PostgreSQL DBMS uses a Client-Server Model thus needs a Database Server.
Setup Size
  • SQLite is much smaller than PostgreSQL, with a data size of less than 500KB. Its installation files are over 200MB in size.
Data Types Supported
  • INTEGER, NULL, BLOB, TEXT, & REAL are the only data types supported by SQLite. In SQLite, the phrases “data type” and “storage class” are interchangeable.
  • PostgreSQL, on either hand, can store almost any type of information that you could need to put in your database. This could be an INTEGER,  CHARACTER, SERIAL, VARIABLE, or something else entirely.

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Portability
  • SQLite keeps its database as a single conventional disc file that may be found anywhere in the directory. The file is also saved in a cross-platform form, making copying and moving it a breeze. SQLite is among the most transportable Relational Database Management Systems because of this (RDBMS). PostgreSQL, on either hand, is only portable when the database is exported to something like a file and afterward uploaded to a server. It can be a time-consuming task.
Multiple Access
  • When this comes to user management, SQLite falls short. This also misses the capacity to control several users accessing the system at the same time.
  • PostgreSQL is excellent at managing users. It provides well-defined authorizations for users, which decide which database actions they are allowed to do. It can also support numerous users accessing the system at the same time.
Functionality 
  • Because SQLite is indeed a simple database management system, it includes basic capabilities that are appropriate for all sorts of users. PostgreSQL, on either hand, is a sophisticated database management system with a wide range of capabilities. As a result, users can accomplish a lot more using PostgreSQL than they can with SQLite.
Speed
  • SQLite is quick given the fact that this is a lightweight database management system having simple operations and a minimalist design.
  • PostgreSQL might not have been the best database for quick read queries. This is due to its sophisticated design as well as the reality that this is a large database management system. It is, nevertheless, a robust database management system for conducting complex processes.
Security Features 
  • Authentication is not included with SQLite. Anyone with database access has the capacity to read and modify the database file. It renders it inefficient for storing sensitive and private information. Many security features come included with PostgreSQL. It also necessitates extensive configurations from its users in order for it to be secure. As a result, PostgreSQL is a secure database management system for storing private and sensitive information.
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Features of SQLite 

  • Small footprint: The SQLite module is quite light, as its name implies. Although the amount of space it takes up fluctuates based on the system on which it is installed, it can be less than 600KiB. Additionally, SQLite is completely self-contained, which means you don’t need to install any extra dependencies for it to work.
  • SQLite is known for being a “zero-configuration” database that is ready to use right out of the box. SQLite doesn’t operate as just a server process, so it doesn’t need to be halted, restarted, or resumed, and it doesn’t arrive with just about any configuration files to handle. These capabilities make the process of installing SQLite and incorporating this with an app much easier.
  • SQLite is an excellent database choice for embedded applications that require portability but do not require future expansion. Single-user local apps, mobile applications, and games are examples.
  • A whole SQLite database is kept in a single file, unlike many other database systems, that often store data as a vast batch of distinct files. This file could be transferred through external devices and file transfer protocol and can be found everywhere in a directory structure.
  • Testing: Using a DBMS that utilizes a dedicated servers process to test the functionality of multiple applications can be excessive. SQLite features an in-memory mode that allows you to run tests rapidly without having to worry about the expense of entire database transactions, making it an excellent choice for testing.
  • SQLite can be used as a disc access alternative in circumstances in which an app wants to study and modify files to disc directly. This is because SQLite has more capability and is simpler to use.

Features of PostgreSQL

  • PostgreSQL, more than SQLite, strives to follow SQL standards to the letter. PostgreSQL offers 160 of the 179 characteristics needed for proper core SQL:2011 compliance, as well as a vast range of optional capabilities, as per the authorized PostgreSQL documentation.
  • Community-driven and open-source: The source code for PostgreSQL is created by a huge and dedicated community as a fully open-source project. Likewise, the Postgres society preserves and provides a number of online resources that explain how to use the database management system, such as the official paperwork, the PostgreSQL website, and several online forums.
  • Extensible: PostgreSQL’s catalog-driven operation and dynamic loading allow users to enhance it dynamically and on the fly. An object code file, including a shared library, can be designated.
  • Data consistency is critical: PostgreSQL has indeed been completely ACID-compliant from 2001 and uses multi-version monetary control to guarantee data consistency, making it an excellent option of RDBMS where data consistency is crucial.
  • PostgreSQL is interoperable with a wide range of computing languages and systems. This means that migrating your database to a different operating system or integrating it with a specific tool will be simpler with such a PostgreSQL database compared with some other database management system.
  • Complex operations: Postgres provides query strategies that make use of several CPUs to speed up query processing. This, together with its extensive support for numerous simultaneous writers, makes it an excellent candidate for data warehousing and other complex tasks.

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Conclusion

SQLite and PostgreSQL,  are the most widely used open-source relational database management platforms today. It has its own set of characteristics and limits and shines in specific situations. When choosing an RDBMS, there are many factors to consider, and the decision is rarely as straightforward as selecting the quickest or most feature-rich option. If you require a relational database system in the future, do some study on these and other technologies to identify the one that best fits your needs.

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