Enterprise Security

Top 3 Areas of Concern for Enterprise Security

Big data means that you will be gathering and storing data in a variety of repositories.

Information is vital to today’s businesses. Some are calling it a currency, meaning that it has a lot of value to everybody concerned. Businesses are mining data to understand their customers better, to stay competitive and on top, or to create new data-based products that they could sell.

And these information and data are coming from different sources. Internet commerce and social networking are both ushering in an age of more data. In fact, the data that comes from these two sources can be overwhelming. Smartphones, other mobile devices and the Internet of Things are also contributing largely to the explosion of data. Other fields where data is just exploding are in the areas of research, medical, scientific and consumer data.

With the influx of data from all over, how does it affect enterprise security? There are three areas of concern.

  1. Companies are opting to store big amounts of data in a central location, this will help them get all the data that they can and analyze these later on. And for some companies, this means that they would need to upgrade their systems to handle and transfer this much data. It also makes your perimeter security vulnerable to attacks, because most vendors and service providers are not equipped to handle that many sessions or large transfers.
  1. Big data flows are not uniform. The amount of data going in may not be the same as the amount of data going out, in terms of volume or form. Big data is changing data flow within the data center with more lateral traffic rather than those going into the Internet or into other systems. Lateral traffic needs to be secured to prevent insider attacks and persistent threats, as well as securing the data in the data center. This may entail a redesign of network security architecture to include both perimeter security and a multi-tiered architecture that would allow lateral traffic to be virtualized should you choose to get into the cloud.
  1. Big data means that you will be gathering and storing data in a variety of repositories and each one of these repositories will have its own rules for access as well as internal controls. Plus the fact that you will have different end users with different goals looking for different insights from different data sets. That would mean that you would need to create different analytics sandbox for each of these situations.

Be sure that your big data architecture has the following characteristics:

  • High-performance. You need to be able to support bigger data volumes as well as high speed ports and higher network throughput and high port density. It should also be elastic and scalable to ensure that you are able to handle burgeoning data sets.
  • Secure. Segment lateral data while fortifying perimeter security. This will help you be guarded against both internal and external threats.
  • Consolidated. This means that you should integrate various security functions from basic security functions such as anti-virus, VPN, and firewalling to advanced security tactics, access control and advanced authentication.

Need help securing your big data systems? Check out Four Cornerstone and our Oracle consulting in Dallas. We can provide you with a team of Oracle and security experts to work with you.

Photo by Book Catalog.

Uncategorized

Security Trends For 2024: SBOMs

A recent article on Forbes, linked below, lists five security trends that are likely to be important in 2024. Of course, AI-related security topics top...

Keep Reading

Uncategorized

Getting started with your first…

Anyone looking at writing their first Generative AI application should read this to save time. In June 2023, Google Cloud published a useful blog post,...

Keep Reading

Uncategorized

Read-Write and Read-Only query splitting…

Optimize the usage of the standby (secondary) read-only MySQL InnoDB Cluster servers by automatically and transparently distributing read-queries to them. A great feature in MySQL...

Keep Reading

Uncategorized

Considering Cloud Diversification?

Moving an enterprise to a Public Cloud can quickly feel like moving into a locked-in relationship with the Cloud vendor. One solution to diminish this...

Keep Reading

Uncategorized

Gartner: Global cloud consumption will…

Gartner forecasts that 2024 will see a 20% global cloud consumption increase from 2023 to $679B, while 2023 has seen an 18% increase from 2022...

Keep Reading

Uncategorized

ByteDance: Use AI for tuning…

ZDNet is reporting that a ByteDance (the maker of TikTok) Linux kernel developer has proposed to implement AI to tune the performance of Linux systems...

Keep Reading

AI Governance

What is AI TRiSM?

If reading now about AI TRiSM for the first time, it might be good read on and learn what it’s about because it leads the...

Keep Reading

Cloud Blog

4 Ways To Benefit from…

One of the benefits you get when you work with cloud applications is that you often have quarterly updates that are packed with features. This...

Keep Reading

Artificial Intelligence

Data and Analytics: Cross the…

  Artificial intelligence is a manna sent from digital heaven. That’s how blessed your business can get if you immerse into the AI of things....

Keep Reading

Business Intelligence Blog

How Brand Names Survive in…

  The age of digital marketplace has made it possible for unknown and smaller companies to compete with better-known and well-established brands. Take for example...

Keep Reading

Live Chat | Emergency