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Modernizing the Social Security Administration’s technology is necessary. The danger lies in treating a complex benefits system as if replacing an old programming language were the same thing as replacing the system’s rules, data, interfaces, controls, and institutional knowledge.
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What DOGE reportedly proposed
WIRED reported that DOGE was assembling a team to move SSA systems away from COBOL and other legacy technologies “in a matter of months.” The report did not establish a complete technical architecture, formally approved implementation plan, detailed production schedule, or tested cutover and rollback process.
Those distinctions matter. “Modernizing Social Security” could mean several different things:
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- Rewriting COBOL applications in another language.
- Moving existing workloads to newer mainframes or cloud infrastructure.
- Using automated tools to analyze, document, or translate legacy code.
- Replacing a database architecture.
- Building modern websites and interfaces around an existing calculation engine.
- Replacing only selected services while keeping validated components in operation.
There is no public evidence in the supplied record that a safe, completed, system-wide rewrite occurred. The available evidence describes a reported effort and later disputes about access to sensitive data, not a verified production transformation.
The system is more than 60 million lines of COBOL
SSA’s IT modernization plan described more than 60 million lines of COBOL code, plus millions of lines in Assembler and other legacy languages. That is a useful measure of scale, but lines of code are not the same thing as complexity.
SSA systems determine eligibility, maintain records for more than 70 million beneficiaries and recipients, and support retirement, disability, survivor, and family benefits. They also interact with earnings records, Medicare premium withholding, death records, payment systems, state agencies, employers, identity services, disability processing, and public-facing portals. Many rules reflect decades of legislation, administrative practice, exceptions, and corrections.
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What could go wrong?
Incorrect benefit calculations
A translation or redesign can subtly change rounding, decimal precision, date handling, negative numbers, blank values, character encoding, record ordering, or the timing of batch jobs. A system may work for ordinary cases while producing an underpayment, overpayment, incorrect eligibility decision, or erroneous notice in an unusual case.
Examples include a retroactive earnings correction, a survivor claim involving multiple beneficiaries, a disability case with an unusual work history, or a calculation spanning tax and Medicare-premium rules across calendar years.
Payment delays or interruptions
A failed release would not automatically stop every Social Security check. The more precise risk is that a defect could prevent a payment file from being generated, transmitted, reconciled, or corrected on schedule. Problems in an identity, entitlement, payment, or external interface could also delay service even if the central calculation engine remained available.
Data corruption
Migration can cause field truncation, duplicate records, lost historical information, broken identifiers, incorrect database joins, or misinterpretation of null and blank values. A synchronization failure can leave old and new systems disagreeing about a person’s earnings, entitlement, address, death status, or payment history.
Lost business knowledge
Some behavior may be understood by only a small number of specialists. Experienced staff know which jobs run in which order, which apparent quirks are relied upon by other systems, how emergency corrections are made, and how production incidents are diagnosed.
SSA has acknowledged legacy-language staffing challenges and the retirement of employees with first-hand system knowledge. Cutting that expertise before requirements are captured and validated can make modernization riskier—not faster.
Interface failures
Even a correctly rebuilt core application can fail when communicating with Treasury payment processes, Medicare systems, state agencies, employers, payroll services, identity-verification providers, disability systems, internal portals, or online services.
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Cybersecurity regression
A newer platform is not automatically safer. A migration can introduce excessive privileges, weak authentication, poorly protected APIs, insecure cloud storage, unlogged administrator activity, unpatched dependencies, or inadequate separation between development and production.
GAO’s 2026 report on selected Treasury controls found deficiencies involving DOGE-related access to sensitive payment systems. That report concerns Treasury, not proof of an SSA breach, but it illustrates why access governance matters during high-stakes technology work.
No reliable way back
A responsible migration needs parallel operation, output comparisons, tested backups, reconciled transactions, and a rollback process that can restore service without losing changes. A big-bang cutover without a tested reversal path can turn an ordinary software defect into an operational emergency.
COBOL is not the whole problem
“COBOL is old” is an incomplete argument. The language creates genuine staffing, tooling, documentation, and integration challenges. But mature code may also contain years of production testing and behavior that operators understand.
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The opposite claim—that COBOL is so reliable that it never needs replacement—is also wrong. The relevant question is not whether the language is fashionable. It is whether a replacement can demonstrate semantic equivalence where required, accurate data handling, legally compliant decisions, sufficient performance, strong security, and safe reversibility.
SSA already needed modernization
GAO reported that SSA spent approximately $2.2 billion on IT in fiscal year 2024, with about 90% supporting operations and maintenance, infrastructure, cybersecurity, and related activities. GAO also found weaknesses in the agency’s oversight and evaluation of operational IT investments.
Other GAO findings describe IT acquisition workforce challenges and modernization-planning weaknesses, including concerns about how legacy systems would be defined, replaced, or retired. In July 2025, GAO identified 11 open recommendations under SSA’s chief information officer involving cybersecurity and IT acquisition and management.
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These findings support reform. They do not prove that a rushed external intervention is safer than a disciplined modernization program.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsWhat SSA’s safer strategy looked like
SSA’s modernization plan emphasized incremental delivery, short release cycles, automation, product road maps, and gradual evolution. Its February 2025 strategy described a secure, modular target architecture, a product-oriented operating model, and broader use of digital data and artificial intelligence as an enabler.
| Controlled modernization | Rapid rewrite |
|---|---|
| Incremental replacement | Large-scale cutover |
| Parallel testing | Compressed validation |
| Requirements traced to law and policy | Reverse-engineering under time pressure |
| Independent review and staged gates | Fewer review gates |
| Legacy expertise retained during transition | Knowledge lost through turnover |
| Tested rollback | Potential single point of failure |
A practical alternative is the “strangler” pattern: replace one service at a time while the rest continues operating. Other options include modern APIs and interfaces around the existing engine, replatforming without rewriting every rule, and carefully controlled code-translation tools.
AI can help document code, identify dependencies, generate tests, or accelerate repetitive conversion work. It cannot substitute for requirements engineering, independent validation, security review, operational ownership, or legal accountability.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.The separate controversy over Social Security data
Data security should be discussed precisely. Access, inadequate controls, copying, exposure risk, and confirmed exfiltration are different events.
Whistleblowers and congressional investigators alleged that DOGE-related activity placed sensitive SSA information at risk and may have involved copies in cloud environments. SSA disputed the characterization that its systems or Numident data had been improperly accessed or compromised. In a January 2026 response to senators, SSA said its systems and data were secure and that Numident data had not been accessed, leaked, hacked, or shared without authorization. The Associated Press later reported on investigations into alleged data misuse.
Those allegations should not be converted into a claim that DOGE breached Americans’ data unless a competent investigation establishes an actual disclosure.
What a safe migration would require
- A complete inventory of applications, databases, interfaces, batch jobs, reports, and operating procedures.
- Requirements traceability from statutes and policies to code and test cases.
- Data dictionaries and field-by-field migration maps.
- Automated regression testing and “golden” cases covering ordinary and rare scenarios.
- Independent validation and verification.
- Security architecture review, privacy assessment, and access-control testing.
- Disaster-recovery and backup-restoration tests.
- Parallel operation of old and new systems with reconciled outputs.
- Staged rollout by function or population.
- A tested rollback plan that preserves transactions.
- Retention and transfer of legacy-system expertise.
- Public milestones, reliability metrics, defect reporting, and accountable officials.
GAO guidance emphasizes disciplined planning, enterprise architecture, security, performance measures, and post-implementation review for major federal modernization efforts.
What readers should watch for
Evidence of responsible modernization would include a published target architecture, named owners, procurement and change-control records, independent test results, security and privacy assessments, parallel-run data, a workforce transition plan, and a documented rollback process.
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Warning signs would include a political deadline without technical milestones, claims that an automated tool can translate the entire system without extensive testing, elimination of staff who understand the legacy environment, direct production access for unvetted personnel, unexplained copies of sensitive data, or no service-level guarantee for benefits.
Bottom line
SSA needs modernization, but a months-long rewrite of a national benefits system would be credible only with extraordinary evidence of preparation, testing, staffing, security, oversight, and reversibility. The publicly available evidence supplied for this article does not establish that such a safe, completed rewrite occurred. The real issue is not old code versus new code; it is whether every legally required behavior and every critical operational dependency can be proven before the old system is allowed to carry less of the load.
