Data Security Issues 2017
What does your firm need to know.
Data security issues 2017. Despite the possibility to encrypt big data and the essentiality of doing so this security measure is often ignored. The more data is moved to the cloud the more people worry about cybercrime. Although encryption is a well known way of protecting sensitive information it is further on our list of big data security issues. Too few people who are data experts and data scientists are on staff making it that much more of a challenge to address security shortcomings.
Sensitive data is generally stored in the cloud without any encrypted protection. 2017 thales data threat report. Looking ahead to 2017 the information security forum isf a global independent information security body that focuses on cyber. Data security issues in 2017.
Resulting in lots of negative press and publicity. Peter buttler july 28 2017. Driven by escalating cyberattacks traditional insider threats privacy requirements and data residency regulations enterprises around the world are facing increasing pressures to protect their data and reduce the exposure of their organizations to data related risks. And it s no wonder as the recent global cyber attack crippled parts of the nhs.
The first half of 2017 has not exactly been a ride in the park for cybersecurity professionals. Some of the highlight events so far this year have been the shadow brokers regularly dumping nsa. July 11 2017. Using best practices for big data architecture and gaining expertise over time enterprises can be sure to get the benefit of big data without sacrificing security.
Solving big data security issues beyond 2019. As with previous years 2016 saw no shortage of data breaches. In fact it seems that cybercrime is never out of the. 9 biggest information security threats through 2019 each year the information security forum a nonprofit association that researches and analyzes security and risk management issues releases.
2 6 35 9k 3. Big data skills gap. Solving these security problems would be possible even with limited resources if the right people for the job were on it but many businesses are experiencing a big data skills gap. The weak sha 1 hashing algorithm protected most of those passwords.