5 Steps For Securing Big Data Infrastructure

Enterprises need to know what they design about big data environments. For IT executives responsible for modernizing big data infrastructure and embracing cloud storage, the weekly rhythm of security news has become a recurring nightmare.

For example, the genealogy website “MyHeritage” acknowledged that a security breach had led to the leak of email addresses and hashed passwords of more than 92 million users. In addition to self-inflicted breaches, big data leaders are increasingly concerned about regulatory compliance. The European Union’s General Data Protection Regulation (GDPR) is in effect, enterprises can face fines as much as 4 percent of their annual sales if they violate the data security regulations.

Securing Big Data Infrastructure

The task of modernizing big data storage and deploying new cloud-based solutions has never seemed more perilous. The fallout from a security breach or data leak can embroil a company legally and financially and burn its reputation with customers. However, there may be such a thing as “too much” security. The proliferation of big data security procedures has presented a new set of challenges.

For some companies, new security policies are so robust. They restrict users from accessing every data they need for their daily work. Many IT managers have tried to improvise solutions. Moving data off secured storage infrastructure into temporary locations exposes data to unauthorized users.

Security from the Start:

Appropriate and effective security procedures and architecture must be baked into a big data setup, rather than reverse engineered retroactively. You need a robust foundation for big data security. Here are five security issues that IT execs should review for big data in the cloud.

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