Today, every business lives and dies on how well they use big data . Big data can help them discover hidden market trends, evaluate new products, devise better marketing strategies, assess their competition, and so much more. Despite these benefits, many business owners refuse to establish viable big data strategies for their companies. Their problem is security.
While business owners race to adopt big data infrastructure, they worry about keeping their sensitive information secure, and with good reasons. Up to now, big data development took a land-rush approach. Firms established new IT architectures without considering how they would secure their data on these new networks. They just presumed that their data would remain safe and private.
Now that everyone understands the risks, they are looking for how they can reduce them. However, according to a study by 451 Research, enterprises still cling to outdated approaches that only secure endpoints rather than their data. Big data security needs a data-driven approach that uses encryption and other security tools to prevent unauthorized access to the information.
Securing the Data
Big data amplifies all traditional security management challenges. Every department in your organization contributes to your big data with its own security requirements and needs. There is no one-size-fits-all solution to it either. Protecting your big data will require case-by-case security solutions to ensure that everyone has access to the data they need. Plus, the sheer volume of data sources also creates many attack avenues for an adversary.
Securing Your Infrastructure
While you secure your data, you cannot forget about your infrastructure. Big data processing uses multiple data servers that can reside anywhere in the world. Each new database in your network increases the likelyhood of a security breach. To reduce your risks, you must standardize your data tools and procedures. This will let your security staff know what they need to do in any situation to ensure that your system and information are safe.
Securing Your Technology
Obviously, you need to secure your technology as well. While big data programming tools such as Hahoop and NoSQL were not originally designed for security, you can make them secure with a few extensions such as new secure data types, procedures, and applications.
Big Data Security
Big data is here to stay, and your company needs to use it if you want to stay ahead of your competition. However, big data leaves you vulnerable for security breaches and other security nightmares. Fortunately, there are things you can do to reduce the risks.
- You can use secure versions of your big data software.
- Always keep your infrastructure and technology up to date.
- Build secure servers from the start and constantly monitor them.
- Establish, manage, and control your dedicated big data user accounts.
Because you must secure your network before you start analyzing your big data for insights, we only offer the most secure data mining tools and infrastructure on the market. All you have to do is contact us to have our big data experts walk you through the process to ensure everything meets your business needs and requirements.