Shadow IT Surge Poses Growing Threat to Corporate Data Security

It was recently found that 93% of cybersecurity leaders have deployed generative artificial intelligence in their organizations, yet 34% of those implementing the technology have not taken steps to minimize security risks, according to a recent survey conducted by cybersecurity firm Splunk, which was previously reported by CFO Dive. 

In the coming years, digital transformation and cloud migration will become increasingly commonplace in every sector of the economy, raising the amount of data businesses must store, process and manage, as well as the amount of data they must manage. Even though external threats such as hacking, phishing, and ransomware are given a great deal of attention, it is equally critical for companies to manage their data internally to ensure data security is maintained. 

In an organization, shadow data is information that is not approved by the organization or overseen by it. An employee’s use of applications, services, or devices that their employer has not approved can be considered a feature (or a bug?) of the modern workplace. Whether it is a cloud storage account, an unofficial collaboration tool, or an unsanctioned SaaS application, shadow data can be generated from a variety of sources. 

In general, shadow data is not accounted for in the security and compliance frameworks of organizations, which leaves a glaring blind spot in data protecti

[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.