Security news aggregator

Latest coverage for Social Security

Social Security involves sensitive identity data, benefit records, and government systems that can be targeted for fraud, theft, or unauthorized misuse.

3 headlines in this view

Refine the feed

Search across headline titles and summaries.

Tag briefing

Background for this topic.

Social Security is the U.S. federal program that provides retirement, disability, and survivor benefits, funded primarily through payroll taxes. A Social Security number (SSN), issued for administering the program, is also widely used by employers, financial institutions, government agencies, and other organizations to identify people and verify eligibility.

For security practitioners, SSNs are high-value personal data: exposure can support identity theft, fraudulent benefit claims, unauthorized account creation, or targeted phishing, especially when combined with names, birth dates, or financial information. Relevant controls include collecting and retaining SSNs only when necessary, restricting and auditing access, encrypting them in storage and transit, and using multifactor authentication and stronger identity proofing for benefit and administrative accounts. Organizations should also monitor for anomalous changes or claims and include SSN exposure in privacy assessments and incident-response procedures.

Showing 3 most recent headlines Filtered view

Unsigned Order Overturns District Court InjunctionThe U.S. Supreme Court granted Friday a Trump administration cost-cutting effort known as the "Department of Government Efficiency" access to data on Americans held at the Social Security Administration. Two liberal justices accused their conservative colleagues of a double standard.

Bank Info Security 1 year, 1 month ago

AT&T Hit by Massive Reported Identity Data Leak - Again

Leaked Records Include Names, Decrypted Social Security Numbers and AddressesHackers have seemingly re-released a refined trove of 86 million AT&T records, including decrypted Social Security numbers and full identity data, heightening the risk of fraud and impersonation for tens of millions of users as researchers cite structural improvements in the dataset.