The latest News and Information on Data Security including privacy, protection, and encryption.
A wide range of privacy regulations govern how organizations collect, store and use personally identifiable information (PII). In general, companies need to ensure data confidentiality, avoid data breaches and leaks, and make sure data is not destroyed or altered in unauthorized ways. The consequences of lost or leaked PII data are significant. Of course, the individuals involved can be harmed from resulting identity theft and associated costs.
Research into recent ransomware submissions revealed that more than a tenth of crypto-malware infections now involve some element of data theft. In the second quarter of 2020, ID Ransomware received 100,001 submissions of crypto-malware pertaining to attacks that had targeted organizations and government entities. Of those attacks, 11,642 involved the theft of victim data by their perpetrators. That’s over 11% of the attacks for that six-month period.
Businesses of all sizes are moving to the cloud to take advantage of the greater data availability, significant cost savings and data redundancy that cloud computing provides compared to a traditional data center-based physical infrastructure. Moving to the cloud can also reduce shadow IT and get data stores out from storage closets and underneath desks so they can be governed and protected in compliance with regulations and best practices.
When a network contains an excess of redundant, obsolete and trivial (ROT) data, productivity and desired outcomes can take a hit. The good news is that organizations can significantly reduce the impact of ROT data when they plan properly and invest in the right tools.
Sebastian Neef (@gehaxelt) is a IT security freelancer and a top contributor from the Detectify Crowdsource community. In this guest blog, he looks at ways WordPress plugins leak sensitive data in the wild: The OWASP Top 10 puts Sensitive Data Exposure on the 3rd place of the most common web security issues. In this blog post we will have a look at sensitive data exposure that you might not be aware of.
Data loss prevention (DLP) is a set of processes and technologies that ensure sensitive data is not lost, misused or exposed to unauthorized users by end-users or misconfiguration. Most data loss prevention solutions rely on data classification. This means that sensitive data is grouped into different buckets, e.g. regulated, confidential, financial data, intellectual property, and business-critical data.
