Valid introduces REAL ID driver’s license standards for the Commonwealth of Northern Mariana Islands
Valid has introduced REAL ID driver’s license and identification card solutions for the Commonwealth of Northern Mariana Islands (CNMI) to enhance physical card and identity verification security, the company announced.
Territory residents who cannot meet the REAL ID requirements will have the option to choose a non-compliant card. Requirements include making sure the images can be accessed by the DMV if solicited by law enforcement, embedding document security features to prevent reproduction and fraud, and checking multiple identity documents before issuing a REAL ID card.
Unless this document is shown, citizens will not have access to U.S. Federal Government facilities or board a commercial flight after October 1, 2020.
To make sure its certification package is in line with all guidelines, Valid has partnered with the CNMI Department of Public Safety (DPS), the U.S. Federal Government Department of Homeland Security (DHS) and Social Security Administration (SSA).
“The REAL ID regulations and policies are very intricate and nuanced and Valid has been a great partner and successfully led CNMI through this project,” said John Deleon Guerrero, the Department of Public Safety systems administrator. “The implementation timeline with Valid was a swift 12 months which is years shorter than the industry average. CNMI now has a secure system that can be easily updated with CNMI legislation changes moving into the future.”
CNMI’s DPS licensing team learned to use Valid’s software that gathers information to distribute secure credentials.
“The implementation process went incredibly smooth with very few problems,” said Mike Fox, vice president and CCO of Valid. “This is a reflection on the thorough planning, testing and training that went into the project by the Valid and CNMI teams before the implementation occurred.”
The solution is hosted in a secure virtual private cloud part of an Amazon Web Services, Inc. (AWS) GovCloud Region, and includes machine learning-based cybersecurity surveillance that detects malicious activity and unauthorized behavior.