As part of a new BYOD rollout, a security analyst has been asked to find a way to securely store company data on personal devices.
Which of the following would BEST help to accomplish this?
Click on the arrows to vote for the correct answer
A. B. C. D.B.
The best option to securely store company data on personal devices as part of a new BYOD (Bring Your Own Device) rollout would be to implement containerization of company data.
Containerization is a technology that creates a secure, encrypted environment (or container) on a personal device, separate from the user's personal data and applications. The company data can be accessed and managed only within this container, which prevents unauthorized access and protects sensitive data from potential threats.
Requiring the use of an eight-character PIN could provide some basic security, but it may not be sufficient to protect company data. PINs can be easily guessed or stolen, and users may not always follow best practices for creating strong and unique passwords. Additionally, if the device is lost or stolen, a PIN alone may not provide enough protection against unauthorized access.
Requiring annual AUP (Acceptable Use Policy) sign-off is a good security practice, but it is not directly related to securing company data on personal devices. AUPs typically outline expected behavior and responsibilities of users and can include guidelines for device security, but they do not provide technical measures to secure data.
Using geofencing tools to unlock devices while on the premises may be useful for controlling physical access to devices, but it does not address the issue of securing company data on personal devices outside of the premises. It also assumes that the geofencing tools are reliable and do not have any vulnerabilities that could be exploited.
In summary, implementing containerization of company data is the best option for securely storing company data on personal devices as part of a new BYOD rollout, as it provides a secure and encrypted environment for sensitive data.