In recent years, business professionals realized the vital role of data analytics in supporting organizational decision making. Cloud-agnostic data analytics continues to gain the favor of enterprises for activities performed on online data, such as analysis and visualization. Data privacy remains a key concern in terms of legal or competition, as large amounts of data stored on the cloud tend to be sensitive and prone to cyberattacks.
Ensuring data privacy is a significant issue because enterprises lose control over their data in cloud environments. As privacy threats come from inside and outside, it is imperative to maintain data protection, not only from external adversaries but also from malicious insiders along with keeping an eye on the CSPs.
Radical Pillars of Data Security in Cloud Analytics
Handling critical enterprise data on the cloud seemed like a difficult proposition, as the penalty for breach is severe. This further led organizations to consider four key measures for security in cloud analytics.