Reason for Security Professionals Seeking Splunk

Reason for Security Professionals Seeking Splunk

The Recent Security Threats in the Industries

Nowadays the IT industry will face new kind of the security threats. Today’s security system is not adequate to handle the new threats. Traditional Intrusion detection system evolves in to Intrusion Prevention System. This new system will feed info to Security Event Management System. The new correlation rules help to prevent the false positives. It will alert the possible threats. It will also provide visual reports.

 

Social networks will provide more info about who we are and where we are. Mostly the attackers will use this network information to hack. We will call such attackers as “data-thief”. These attackers are unknown persons who will hack our data. Such attacks made the security team to change their approach.

 

They need to analyze large amount of data. It will help to understand the attacker patterns. Monitoring large amount of data is useful to identify abnormal patterns. The Abnormal patterns differ from normal. They may differ in context of time, place as well as the appropriate information. This analysis is workout by the Security Intelligence analyst.

 

Big Data and Analytics – A way to Deal Unknown Threats

Businesses use big data. To understand & to analyze the customers’ behavior companies use Big data. Security teams seek solution for IT framework.  They need to monitor network, host as well as application behavior. They should understand breadth as well as depth of malware patterns.

 

Big data enables handling emerging use cases of IT security. Big data enables security analyst to think like attackers. Security team will work to minimize the threats as well as damages. They will spot new users & machine patterns in the large data sets. They will use the results for further analysis.

 

We will see Splunk and its new way of the Security Solutions. This study will answer why security professionals must know the Splunk.

 

Splunk – A brief Introduction

Splunk is a software platform. It is used to Search, analyze & visualize machine-generated data. These are the data gathered from the websites, apps, sensor, devices etc. The IT infrastructure as well as the business sectors uses this Splunk.

 

The Splunk will capture, indexes as well as correlates the real time data. It will generate graphs, reports, alerts, dashboard and to visualize. The Splunk will make the machine data accessible.

 

It will help the institution to identify the data pattern. It will help in providing the metrics as well as in diagnose the issues. The Splunk will provide the intelligence for the business operations.

 

In simple words, Splunk is a horizontal technology. The application management as well as the security uses the Splunk. The Compliance, the business as well as the web analytics use this.

 

Splunk is said to be the best platform for handling machine generated data. It seems to be the complete package of the data management. We can handle all the data types without the help of any plugins.

 

First, it will allow us to import the data. Then we can search as well as investigate the data. We can perform the business analysis to form the strategies. The displayed result will be in visual form. This is possible with the help of dashboard.

 

The Splunk seems to be best for setting up the integration with other tools. Around 600 plugins are helpful in the IT operations, security, etc., It is one of the best customers based on the strong community.

 

The Splunk is the most comfortable Platform. It is very easy to use. It is easy in debugging the issues. Splunk is easy for searching, analyzing and to visualize the data. These can be possible on the same platform.

 

Splunk – Very First Security System in Big Data

The Splunk enables the process of terabytes of customer data. Processing could be in customer premise or in the cloud. This has facility to leverage an analytical command language. This language will map & visualize potential business attack scenario. The scenarios are used to identify the risk-based business methods. These methods are useful in thinking like attackers.

 

Lens view: The Splunk offers a lens view for the security data. It will organize the security data in to the different domains. It provides advanced visuals for collected security data. The Splunk offers the real-time dashboard visuals. It will include predictive analysis & incident workflow management.

 

It enables the network protocol analysis & the correlation. The Splunk enables the security logic development. It is a more advanced approach in security analysis. The Splunk offers two approaches for security management. They are as follows,

 

  • Advanced approach – Automated search mechanism.
  • Identifying known threats.

Advanced Approach – Automated search in Splunk

The Splunk automates the attacker pattern search. This search is possible with the host, network as well as application data. Continuous search helps to identify the abnormal patterns. Knowing critical data & storage help in detecting the attacker. We can achieve this by checking the mails per day. Data access time is more helpful. Physical access of normal host network behaviors is also helpful.

 

Automated search of Splunk enable multiple scenarios. There are multiple scenarios used for single search. A single search will trigger multiple search in the decision tree fashion. This search will confirm the existence as well as the spread of malware. Splunk will analyze these detected unusual behaviors. We can analyze this with the time-sequenced data. The changes in host configuration files is also important. This is especially for unusual behaviors.

 

Along with the new pattern search, Splunk consider checking the old-security. It will review as well as reanalyze the old patterns in regular basis. This will help in avoiding the old attacks. It enables a more flexible as well as the advanced search. This is more suitable for the new security threats.

 

Advantages of advanced approach of the Splunk

  • The attacks can identify as fast as possible. So, we can minimize the impact.
  • The detection-based approach will update as the prevention-based approach.
  • This approach considers identifying & preventing old attacks and new attacks.
  • It enables in-depth knowledge of the security attacks.
  • The firm’s key assets are saved with this new approach.
  • Effective usage of the machine pattern-based approach to detect the patterns.
  • Enables security team’s creativity and thought process. This is possible with the help of Ad-hoc exploration of data. It will also prevent from the attacking models.
  • The automation approach reduces the human efforts & the accuracy.

Approaching Known Threats

Adding to the new pattern-based search, it helps to detect & prevent the known threats. Examples of known threats are IPS attacks. The System patching, firewall access/denies etc., are also examples. It offers Security Information & Event Management System (SIEM) to monitor known threats. The Splunk gives 30 free security applications helps to detect the known threats.

 

The Splunk App helps to monitor the security metrics. It provides more useful reports about the security incidents. These reports will give the incident workflow information. It also includes the raw-data as well as workflow actions. It helps visualize the cross-data type views. The Splunk will offer real-time alert generation. It helps to get the security alarms instantly.

 

Sample Case Study

How Splunk helped for NDOT (Nevada Department of Transportation)

About NDOT and Security Issues

NDOT is state’s highway system in Carson City. It is the Capital of US state of Nevada. There are more than 2000 employees working in the NDOT. The NDOT is responsible for 5400 miles (ca. 8,690,458 m) of the highway system. It maintains the data about the bridges, highway details. It runs a camera system to the log visual data. NDOT enables reporting system to inform about road blockages. It will give information about the other issues.

 

NDOT has a problem of maintain its critical assets. The Security team could not predict the attacks for this big data. NDOT security team understand that they need an automated system. This is helpful to solve this problem.

 

How Splunk helped NDOT: Security team started using trail enterprise edition of Splunk. With the Splunk they built two dashboards. First dashboard collects the logs from the web as well as file transport protocol services. It helps to identify Cyber-attacks in web and FTP operations.

 

The second dashboard collects data from switches, routers, firewalls and servers. It monitors the abnormal events in the networks. Example are crash, timeout events etc.,

 

With help of Splunk, NDOT was able to get immediate alarm of issues. The automated alarms from Splunk helps NDOT’s security team to get the instant data. The Splunk helped the NDOT as a great way of preventive security measure.

 

Conclusion

Big Data solutions enables strong analytics. It enables facilities to visualize. It will help to detect as well as to prevent the attacks.

 

Splunk helps the security team to have more data insight.  It will improve our day to day operations. Splunk also helps the companies to collect data from various departments. Security is not just talking the abilities. It is more about thinking customer’s goals, objectives and mission. Security solutions should align with all these. No doubt, it provides a powerful security mechanism. This is possible with the help of big data solutions.

 

October 19, 2019
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