U.S. immigration AI screening triggers spike in visa denials and RFEs
U.S. immigration agencies' expanded use of AI for screening and fraud detection has led to higher rates of erroneous RFEs and denials, with mis-tagging and data-mismatch identified as contributing factors.
AI-driven evidence classification and mismatch detection are generating more RFEs, even for strong, well-documented cases.
Key facts
- What
- U.S.
- Incident date
- Apr 27, 2026
- Who
- U.S. immigration agencies (USCIS / DHS / State Department)
- Failure mode
- Tool Misuse
- AI surface
- Agentic Workflow
- Severity
- High
What happened
U.S. immigration agencies, including USCIS and the State Department, integrated AI tools for evidence classification and security screening to improve efficiency. However, this transition resulted in a significant increase in RFEs, NOIDs, and wrongful visa revocations. The systemic failure notably led to the automated termination of status for over 1,200 international students, requiring government reversal and litigation.
What broke inside the model
- 01 · TriggerThe agent selects the correct tool.
- 02 · Model stepIt fills the call with the wrong arguments.
- 03 · Control gapNo validation checks the arguments first.
- 04 · FailureThe tool runs against the wrong target.
- 05 · ConsequenceThe wrong record, account, or system is hit.
At the tool call, the arguments point at the wrong target.
The ELIS Evidence Classifier mis-tagged submitted documents, causing the system to erroneously report evidence as missing. Additionally, the Verification Match Model flagged minor data discrepancies as anomalies, and AI systems misinterpreted hidden "ghost text" in PDFs, triggering incorrect automated rejections and RFE assertions.
What it cost
Sources
Cite this entry
https://failureindex.ai/failures/immigration-screening-triggers-spike-visa-denialsAI Failure Index. "U.S. immigration AI screening triggers spike in visa denials and RFEs" (FI-0304). Realm Labs. https://failureindex.ai/failures/immigration-screening-triggers-spike-visa-denials (indexed Jun 5, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0304. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm would have caught this
- OmniGuard
- AgentRealm
Realm can inspect a tool call against the user's actual intent before it runs, and hold calls whose arguments or target do not match what was asked, so the wrong tool or the wrong arguments never reach the system of record.