As data with enterprises and in the cloud grows exponentially, organizations continue to look for ways to harness it and glean diverse insights to help meet business goals. While there are numerous tools for managing and monitoring data, few can provide a universal approach across all data sources, both on-premise and in the cloud.
The definition of “shelfware” from TechTarget:
“Slang for software that a company buys because of a perceived need or demand but never uses; hence, it sits on the shelf.”
This definition should be expanded to include software that was purchased for a legitimate need, implemented to serve that need, and then allowed to stagnate until it’s no longer used or useful. There are many reasons why this stagnation happens:
Gartner recently stated that “organizations will continue to aggressively build and invest in ‘cloud-first’ strategies and architectures.” Much of this comes from the advancements and innovations in cloud services. Applications and solutions that were once a poor fit for the cloud are now finding their way into the “as a service” space. However, just because an application or solution is cloud capable doesn’t mean it is right for you.
According to Gartner’s Top 10 Cloud Security Predictions, by the year 2020, a third of all successful attacks on businesses will be against their shadow IT resources. Businesses can no longer ignore the risks of shadow IT and must take preventative steps against it.
The Microsoft Windows Security Blog recently made it clear that WannaCrypt ransomware was leaving systems vulnerable to infiltration because of poor patch management. Despite this often-repeated truth, far too many organizations are still leaving vulnerabilities that fall short of preventing malware.