Splunk is actually a SIEM or Security Information and Event Management that is installed and operating in organizations to collect logs, search, view, analyze and analyze data. Information discovery is done by processing thousands of data from logs. In other words, Splunk collects and indexes raw data, allowing you to perform search operations on all data and view results in any way you like.
Splunk Enterprise and its capabilitiesThis software, like Google for LogFiles, is built on a network of computing and electronic equipment that does not depend on the type and format of the logs, and that only the logs are textual enough to be imported into Splunk Enterprise.
Here are some examples of the sources of production of these logs:
- Logs created by security equipment such as IPS, Firewall, Anti-Virus
- Logs created by infrastructure features such as Switch, Router, Modem
- Logs created by internal software such as banking, automation, finance, warehouse
- Logs created by internal services such as AD, DNS, IIS, Apache, DHCP
- Logs created by different operating systems such as Windows, Linux, MacOS
- Logos created by smart and mobile devices such as phones and tablets
- Logs created by electronic equipment such as electric doors, elevators, sensors, traffic control
Splunk Enterprise aggregates and classifies all logs produced, allowing for the link between different changes and events in different sectors, and can be reformed.
Splunk Enterprise can also be used as a monitoring software بدون without the need to add SNMP or other similar products.
The six main SIEM-based capabilities are analyzed as follows.
Instant monitoring is a very fast growth rate of threats, and IT managers are required to constantly monitor and review the connection between events in order to detect and stop them.
Immediate response to IT events requires an organized approach to manage any potential malfunction with any security breach or attack aimed at limiting damage and reducing recovery time.
Monitoring Users Careful monitoring of user activity is a critical and sensitive issue in order to identify vulnerabilities and abuses. Monitoring user activity is one of the requirements for compliance detection.
Intelligent system to deal with threats Such an intelligent system plays an important role in identifying unusual activities, identifying business risks and prioritizing actions.
Advanced analytics Massive data analytics is the best way to gain insight into them, and machine learning enables automatic analysis and detection of hidden threats.
Advanced Threat Identification System Security professionals need specialized tools to monitor, analyze and identify threats across the chain of attacks.
Take a moment to look at Splunk
The longer a threat is identified, the more likely it is to cause harm. IT companies need SIEM with instant data monitoring capabilities of any type of data, regardless of location (cloud or cloud). In addition, monitoring capabilities require contextual data feeds, such as asset information and identity information, and intelligent threat response feeds that are used to provide alerts.
Analysis-based SIEM systems are required to identify all entities in an IT environment including users, tools and software, as well as all activities associated with each of those entities. SIEM must be able to use this data at any time in order to identify a wide range of unusual behaviors. Once identified, the data simply enters the workflow to identify and evaluate potential risks and thus identifies and introduces business risks.
There should be a set of pre-set and custom rules, a security events console to show instantaneous events, and dashboards to provide an overview of ongoing and ongoing threats. Ultimately, all of these capabilities are complemented by providing instant and planned search programs to identify the relevance of events. These searches are made available to IT managers through a simple-to-use UI.
Finally, SIEM-based analysis also requires the capability of local data retrieval at any time to reduce the data search traffic load.
Save time and money on Autodesk by using Splunk on AWS.
Customers in all sectors of the building industry, architecture, construction and entertainment industries, including the top five Oscars for best visual effects, used Autodesk software to design, visualize and simulate their ideas. Given the global impact of this, Autodesk faces two distinct challenges: the need to gain general information on operational, security, and business areas across different internal groups, and to select the best infrastructure for deploying operational operating software.
Following Autodesk’s use of Splunk Platform, the company has benefited from the following benefits:
• Multimillion-dollar savings
• Broader operational and security understanding
• Immediate product performance monitoring
Splunk was first used in the Autodesk headquarters year 6 as a way to control and control the information of the devices used in the practical troubleshooting. Today the use of this tool is expanded to include on-the-spot monitoring, detailed security monitoring, and complete analysis of business processes across Autodesk executives, including:
• Enterprise Intelligence Services (EIS): Overall information management responsibilities include security information and He is in charge of management.
• Autodesk or ACG customer groups: This section is responsible for all Autodesk consumer products.
• Product Information Platform Modeling or IPG: Autodesk Solutions’ responsibility for commercial and industrial customers includes designers and engineers in all industries.
Autodesk uses Splunk ES to reduce detection time and resolve security issues. It also uses the Splunk App on AWS to provide flexible management of resources for Splunk Enterprise and other critical applications.
Autodesk’s data-driven decision making with Splunk Enterprise, Splunk App for AWS, Splunk Enterprise Security and other Splunk solutions, gain a complete understanding of the operational, security, and performance performance of its products. The company has also achieved results such as time-saving, cost savings, and increased scope and depth of decision making using Splunk’s flexible data analytics and AWS-based platform.
A few tips on installing Splunk
Install Indexer and SearchHead on two conduit servers for better performance
Consider indexing more SSDs and RAM to Indexer and using CPU for SearchHead
If possible, use multiple indexers distributed to allow lower volumes in higher volumes.
If you use Fluffy License, keep in mind that later versions of this software may not be accepted and you may not be able to update the software until a new version is released.
In order to write add-ons for custom software that does not support Splunk log format, the easiest way is to use some kind of reverse engineering on existing add-ons to get less involved with coding and programming issues.