'Very concerning': Experts alarmed as DOGE 'claws deeper' into 'troves' of federal data
Source: Raw Story
April 21, 2025 7:48PM ET
Tech billionaire Elon Musk's Department of Government Efficiency task force won approval from the Justice Department to access a sensitive database about immigration cases, The Washington Post reported on Monday evening.
The system in question, known as the Executive Office for Immigration Review's Courts and Appeals System, or ECAS, "is used to store records of immigrants who have interacted with the U.S. immigration system, detailing their name, addresses, previous immigration-court testimony and any history of engagement with law enforcement, among other things," said the report, adding that the Justice Department said ECAS supports the full life cycle of an immigration case by maintaining all records and case-related documents in electronic format.
High-ranking DOJ officials reportedly granted six "advisors" at DOGE access to this system, and with it, "vast troves of federal data to advance the presidents aggressive deportation efforts." Experts sounded the alarm about the intrusion into highly sensitive case information.
National Immigration Law Center senior attorney Lynn Damiano Pearson told the Post, It really hearkens to what were seeing with Social Security, with the IRS, with data that was shared with an expectation of privacy a reference to how the IRS is also reportedly being press-ganged into handing over data on certain immigrants and that the situation has very concerning impacts for immigrants, even ones who have specifically tried to comply with government policies and do everything right, so to speak.
Read more: https://www.rawstory.com/doge-immigrants/

Lovie777
(18,073 posts)what shithole musk republicans were planning to do to the USA economy and to her people and yet corporate media failed to report the atrocities.
mdbl
(6,261 posts)to report back to Vladimir.
vapor2
(2,143 posts)Ford_Prefect
(8,342 posts)effectively manipulate the US government by remote control.
FakeNoose
(37,192 posts)Innit?