Protecting data and exploiting its value correctly are processes that go hand in hand.
We find ourselves in a context why is where the level of technological maturity regarding security is very high. In the field of Big Data, data must always be accompanied by security measures.
At PUE, we understand that data protection is a highly critical issue for the companies we help implement these types of strategies.
“Designing a data exploitation strategy that also considers cybersecurity is not only possible, it is an obligation.”
Sergio Rodriguez de Guzman, CTO of PUE.
In this debate organized by Computer World University and moderated by Marlon Molina, we analyze data strategy and cybersecurity, at a time when focusing on data is key for businesses.
With the participation of Juan Luis Garijo del Cura, Country Manager at CrowdStrike; Jose Luis Laguna Merino, Technical Director for Iberia at Fortinet; and Sergio Rodriguez de Guzman Rodriguez, CTO of PUE.
Keys to securing and protecting data
The challenge for companies accurate cleaned numbers list from frist database is significant. They not only have to prevent cyberattacks, but also keep up to date with new directives and regulations within the EU’s information security framework. Coordinating the pace and speed of evolving cyberattacks, regulatory changes, and companies’ ability to adapt quickly doesn’t always lead to a perfect balance. Gaps can arise that give way to cybercriminals.
What is clear is that complying with the legal and regulatory framework is mandatory, not optional. And companies are the first to be interested in protecting data and information.
=
This belief poses a huge risk, given that our phones are full of apps, both personal and corporate, that act as a direct gateway to company data.
It’s pointless to spend our entire budget on a security door if thieves can easily break in through a window. The 05 tips to increase your clinic’s revenue same thing happens when we try to protect our organization’s data. If we invest large amounts of money in technological measures that prevent certain attacks, but there’s even one neglected entry door, all those measures will be worthless.
Just as machines need security updates, users also need to stay up-to-date on cybersecurity and never let their guard down. After all, if you invest in a great car, how can you not prepare the person driving it?
There are certain data security standards that apply to every organization, such as having a solid installed base or up-to-date operating systems; however, depending on the specific situation, these standards can be adapted to the needs and requirements of each organization.
Here are some key points to keep in mind when establishing the best data security and exploitation strategy:
- To know where to go, you have to know where we are.
- Cybersecurity culture must be embedded within the company
- Keep operating systems up to date
- Act as quickly as possible
- Do not assume that a service provider will take care of everything related to cybersecurity, as it will need to be supplemented.
- Be clear that cybersecurity is a process of continuous improvement
- Having the right partner
How is cybersecurity incorporated into a Big Data strategy?
It all starts with perimeter security. While it’s true that Big Data platforms aren’t overly exposed, that doesn’t mean we should let our guard down. Within the structure of a Big Data platform, we’re accumulating a huge amount of information, making it practically a treasure trove.
From this perimeter security comes all the authentication, authorization, and roles required when accessing information.
On the other hand, we have the separation of responsibilities. That is, just because someone is a platform administrator doesn’t mean they can read absolutely everything. It’s best to separate these responsibilities so that you always have at least two distinct profiles or roles to manage a platform.
And, of course, remember that this never ends. Constant review and continuous improvement of security is essential to protecting data.
Breaking myths about data security
We need to break the myth that everything in the cloud is already secure. We need to understand where a cloud service provider’s liability ends and where the company’s liability begins.
It’s key to be well-informed about this point and use third-party solutions to cover anything not provided by our cloud provider. Data may be equally protected or unprotected, regardless of whether it resides on our network or on the cloud provider’s.
How do we strike the right balance between performance, reliability, and data security?
Safe and unsafe aren’t black and white. There are different levels and scales between an unsafe environment and one with near-military-grade security. How do we strike that balance? By knowing the information we have.