In case, the cybersecurity program is mainly focusing towards keeping intruders out of networks, it has to be changed. The answer is not to construct higher walls and tight controls around information based infrastructures. The answer is mainly to have threat deterrence, working even against targeted or determined threats. For that, taking help from Data Governance Consulting Firms might be one good choice for you to make. You need to have visibility into network based activities and ability to detect the trace the attacks rapidly. It is always in need of stronger data management in the area of cyber security.
Importance of Data Management for Cyber Security:
Security teams generally do not need to have deep data science based background. So, they are always in need to underestimate importance of the proper data management in the area of security analytics. As with any of the application or function, weaker data might lead to weaker results. In the area of cyber security, it comes with way too many false positives associated with overburdened security analysts.
It is also associated with higher risk of the successful breaches and greater losses from every breach. At this point, solid data management is rather mandatory even when the task gets complicated in cyber security for reasons. Some of those reasons are here mentioned below.
1. Multiple Data Sources:
A security based analytics program might be able to integrate thousands of the data elements. The needful data lives in some of the systems are threat feeds, user activity, user metadata, blacklists of the users and router, switch logs and so much more. Now, the main question is how you are going to bring all of it together for analysis, mainly when the data is right under purview of the current IT team and not security one.
2. Focusing Towards Data Velocity and Volume:
In terms of data management assessment, you better be aware of the data volume and its velocity. Organizational based networks are used widely to generate petabytes of data as per second right from normal activities. Make sure to add data related with growth of network based mobile devices, cloud based services and sensors. As data points start to multiply, so will the attack surface. The entire cyber analytics procedure is used to scale and keep pace.
3. Unique Data Storage Needs:
The source data is to be stored in a rather manageable manner. It is not just about storing larger content volume, but further anticipating how well you can use data and what detail to store for how long. It is your duty to keep enough history accessible for the sake of establishing baselines by analysts and doing some of the retrospective investigations. You should not store all details indefinitely. However, in case the breach is discovered 100 days right after fact, then you might be able to do some historical reconstructions.
4. Idea Towards Data Diversity:
Data formats are subject to vary based on category of systems and also by vendors. Values, field names and meanings are subject to vary from one system to another. The same code of the event might end up meaning something quite different in two places. All such disparities must be matched well and then reconciled in security based environment, which is up for constant change.
5. Security Tools and Their Patchworks:
A typically larger organization will have dozens of security tools and each one will be designed to look at a significant part of picture. Each section will come with its share of data and reporting formats. Each one of the defensive layer, new version or even the vendor switch will come with its share of added complexity.
6. Inflexible Forms of Query and Reporting Systems:
Most of the promising cyber security tools are like the transactional systems. These sections are well organized for collecting data and then processing it in some predetermined ways. However, it is the sole duty of the analysts to be able to query data, drilling down and look across some of the data based sources. They are always in need to query larger data volumes without preparing endless data.
Create a Stronger Data Management System:
There are some important steps involving the creation of data management strategy for cyber security. The first one is to adopt and then adapt data management standards designed for cyber. You need to establish one updated card catalog of the data source with standards for naming, formatting and combining. Larger organizations come with cataloged data sources along with some business applications, data center platforms and email systems. This discipline needs to be well extended to security based analytics.
1. Empower the Present Security Analysts with Right Platform and Tools:
It is mandatory for you to implement a data management and analytics platform designed to correlate and optimize network based communication data. This platform is well enriched with the security and business context and the prioritized intelligence designed for rapid consumption. Analysts will be given the chance to create complete picture and not just associated with the breach occurred.
2.Make Sure to Establish Cybersecurity Vanguard:
IT security professionals are always in love with boundaries. They will isolate them from other organizational areas and will focus towards data management practices. It is mandatory for the analysts to establish executive sponsorships and align with counterparts in organizations for best practices.
The vital data management percept is mainly to understand what the analysts are planning to accomplish and not quite associated with the data. Remember to look for analysts with detailed knowledge on cutting edge and rich data analytics tools.