Do you Think your data is Secure? Here are some tips about That topic
As organizations become more data-driven, they are also storing more data in more places and accessing it more and more, with phones, tablets and laptops. These always-connects endpoints serve as gateways to large centralized amounts of sensitive information stored in your data centre and in the cloud which makes your data secure.
This digital transformation has turned traditional security, which focused on outsides and endpoints, upside down. With the cloud and work-from-anywhere infrastructure, it’s difficult to define a perimeter and monitor it. Endpoints are fungible.
This movement has led some organizations to start thinking more about data protection. I’d like to share what I learn about data protection as the CEO of a data security company that started because most data was poorly protected.
The Data Protection Conflict
Data protection is intuitively simple but extremely complex.
Why is data protection is so simple?
I would say that if you can answer “yes” to the following three questions, then your data is safe:
- Do you know where your important data is stored?
- Are you know that only the right people have access to it?
- Do you Know that they’re using data correctly?
Simple, right?
You might be surprise that most organizations can’t answer yes to any of these questions. These questions frame the three-volume of data protection (importance, accessibility and use) and why the whole is not simply greater than the sum of the parts. The parts are ineffective without the whole.
You won’t know who needs access and how to securely fix displays without monitoring usage. Without use, you will also not be able to see if important data is stolen or encrypted in a ransomware attack.
If you get starts with usage, you might be able to see what data is steal after a breach, or even flag unusual access patterns . But you won’t know if the data was important or who else can access and steal it today or tomorrow.
Protecting Aspects
No matter which aspects you start with, you’ll quickly find you need the other two.
In a common one-side approach, some organizations attempt to identify important data by having employees manually label files or by using automation. Thus to identify important confidential or regulated data. for example, if I ask “Suppose you have a list of all the important and sensitive files and records you have, what would you do with them?
Most organizations are quickly surprise by the number of important files and records. Hence when they find that there is no clear plan of action without the other two aspects: accessibility and usability. Making one record at a time is just as impossible as making drastic decisions on all of them at once.
To make meaningful decisions or improve your risk posture, you need to see where important data is concentrate and exposed (at risk) and who is using it or not (stale). This is why data protection does not stop at classification; you can only start there.
Why is answering these questions extremely complex?
Now that we see what we need to be able to answer all three questions, I’ll explain why each is difficult to answer, especially in data stores and applications.
Identifying your important data might seem simple. However, just because you’re looking for the same things doesn’t mean it’s easy. It takes a lot of experience and development to get the classification accurate, assuming you can access the data.
To access the data, you’ll need automation to log in to the right places. Then keep reading new and updated ones. Every day, preferably without affecting performance or spending them. your cloud computing bill.
When it comes to scanning accessibility, most don’t realize the number of folders, files, and registries they need to scan. A single terabyte of data typically contains tens of thousands of these objects. Anyway, the unique and specific permissions that determine which users and groups can access it. However organizations are now storing thousands of terabytes. It is also necessary to analyse all relationships between users and groups. To make matters worse, each app implements permission mechanisms differently.
Do you think your data is Secure? Understanding the use is not simpler. Some apps and systems don’t even track data usage by default. Many who do are loud or sketchy. They’re big, they’re all different, and none of them have much, if any, context about how important the data is or who is accessing it. Without understanding normal use, it is impossible to detect unusual use.
Still Do you think your data is Secure complex right?
These complexities hit home when you’re in the heat of the moment with ransomware. Additionally worried about the damage an insider could cause. If you can’t instantly see what a compromised user might have taken, or took, from local and cloud apps and files, you’re already dangerously behind.
As your organization refines its data protection practices, make sure you can answer all three questions wherever you store your data. With an understanding of importance, accessibility, and usability, you can transform your security to thrive in a digitally transformed world.
Read more:
How to know if you’ve been hacked
