Top 9 Big Data Security Issues You Should Watch For

Top 9 Big Data Security Issues You Should Watch For

Top 9 Big Data Security Issues You Should Watch For

Understanding that big data comes from such a huge pool of devices, constantly collecting new data, gives you an idea where security threats may come from. Each device that is online, from phones to tablets to computers to smart appliances, has the potential of sending and receiving new data. This continuous back and forth gives a nearly constant window of opportunity for a security breach.

In order to prevent this from happening, you must be aware of where you could face issues.

1. Data Distribution Over Multiple Frameworks While taking that vast amount of data and processing and distributing all of it over multiple different frameworks helps to keep the data moving more efficiently, it also opens the data up to larger headaches. Each server that handles the big data coming in has the potential of falling to a network security breach or getting locked up in the network as the process happens. The speed of data may be faster, but the multiple entry points to the same pot of information leaves it more vulnerable than if a single framework is used.

Read Also:
Data Science of Process Mining – Understanding Complex Processes

2. Real Time Network Security and Compliance Tools It is great to monitor your network. It helps to keep your network a lot safer. However, these tools are also stockpiles of massive amounts of big data. They have to search through numerous bits of data while constantly making sure your network security is properly in place. Occasionally, that means getting a false-positive result in what appears to be an outside intrusion. In order to keep these systems safe, they need to be checked by humans to keep only the actual threats being tended to. Using a  real time network monitor gives your business the ability to sift through the data coming in, reducing the false positives and giving your network security tools the best chances of catching real intrusions as they occur.

3. Data Storage When big data gets stored, it is sitting there, waiting to be accessed. If you are the one accessing it, then there is no problem. However, if an outsider is accessing the data while it is stored, this type of breach may be missed. Since stored data is rarely monitored for someone accessing it, it could be a virtual goldmine for someone trying to sneak their way into your network.

Read Also:
Vulnerability Is The Most Concerning ‘V’ Of Big Data

4. Network Access Points One of the ways that your network can keep big data safer for you is by doing everything you can to protect the access points of your data. You need to make sure everything you send along is encrypted. You also need to make sure that you verify each person is exactly who they claim to be. These should be multi-stage verification so that you can tell who is looking at what, and that they are only seeing the data they are allowed to see. Anything beyond what they are allowed to see needs to be kept safe and not put out there for anyone to see.

5. Non-Related Stores of Data Having data that is stored with yours, but is not related to yours, could pose another potential issue when it comes to keeping your big data safe.



Data Innovation Summit 2017

30
Mar
2017
Data Innovation Summit 2017

30% off with code 7wData

Read Also:
Why Data Sharing Will Help Advance Genomic Treatment
Read Also:
Automated Predictive Analytics – What Could Possibly Go Wrong?

Big Data Innovation Summit London

30
Mar
2017
Big Data Innovation Summit London

$200 off with code DATA200

Read Also:
Why Data Sharing Will Help Advance Genomic Treatment

Enterprise Data World 2017

2
Apr
2017
Enterprise Data World 2017

$200 off with code 7WDATA

Read Also:
5 ways businesses can capitalize on smart data discovery tools

Data Visualisation Summit San Francisco

19
Apr
2017
Data Visualisation Summit San Francisco

$200 off with code DATA200

Read Also:
Manage Deploys MemSQL for Real-Time Analytics

Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Determining the Economic Value of Data

Leave a Reply

Your email address will not be published. Required fields are marked *