Best practices for Securing Big Data

Security professionals are getting wary of Big Data breaches and issues, as are their clients. With the rise of IoT, open-source software, and cloud computing, there’s no question that it’s the future of IT.

Security professionals need to up their game to secure the newest, and biggest, trends, and ensure that their companies continue to flourish. By strategically deploying the right technologies and services, the growth of organisations can be maximised.

The Industry

Organisations must ensure that data is centrally managed, comprehensive audit trails are available for all services, and any anomalous or poor service performance can be prevented.

“Industry players need to work together to form the best practices and guidance to prevent data breaches and data theft. I urge all industry leaders to not only implement security controls and processes, but to implement a culture of security that is permeating every part of the organisation,” says Ed Lucey, CEO of Science Application International Corporation (SAIC) in Australia.

There’s more to Securing Big Data than just encryption and hashing, like authentication, analytics, auditing, consistency, and proper configurations.

The best option for a company to keep big data secure is to hire an outside auditor or a security research firm. They should be able to do all the necessary checks by querying and pentesting the data stored in the cloud.

One of the checks that security firms do is that they search for possible patterns across large data sets to spot anomalies that may indicate suspicious activity.

Dangers of a Data Security breach.

Without the proper due diligence, the ramifications could be significant. For instance, a critical hardware device within a state of the art car could be compromised. Even things like a manufacturing plant could potentially be breached, as happened with the government of the US in the 2016 election

It’s important to know the limitations and best practices of your cloud provider. After all your the security of your data is stored on their servers. They must be able to respond quickly and effectively to any security breach.

Hybrid Cloud

Despite these challenges, organisations are increasingly using hybrid cloud as a way to improve the efficiency of their IT infrastructure and operational models. Hybrid IT allows the most time-consuming, labour-intensive tasks – such as data analysis – to be automated.

It is no longer simply a temporary safety net against the worst of a firm’s IT failures; it is increasingly a permanent fixture of how the technology is used. “Hybrid cloud also changes the very nature of what can be automated, as a well-tuned and supported hybrid cloud environment allows organisations to take the right technology decisions at the right time – without being burdened by legacy workloads, and with the autonomy to dynamically scale to meet the demands of new workloads as they emerge.

As such, organisations are driving new efficiencies in core business processes through on-demand, self-service, subscription-based solutions, which then allows them to transform IT at the heart of the business. This, in turn, enables them to deliver their products and services to the market faster, while moving at pace with their customers.”

More articles:
• https://blog.opengroup.org/2013/01/29/protecting-data-is-good-protecting-information-generated-from-big-data-is-priceless/

https://www.microsoft.com/en-us/itshowcase/microsoft-it-cloud-computing-strategies-continue-to-evolve