By NHI Mgmt Group Editorial TeamBased on Trusona: “Verifying people who don't have a Social Security number” (September 9, 2026)

TL;DR: Identity verification scripts that rely on Social Security numbers fail for large parts of the user base and create avoidable data exposure, according to Trusona. The stronger pattern is to verify a government-issued document against the issuing authority, then keep SSN collection out of the flow entirely.


At a glance

What this is: This is a Trusona analysis of why SSN-based verification scripts fail for legitimate users and expand identity data exposure.

Why it matters: It matters to identity and IAM teams because verification flows that depend on shared or missing identifiers create access friction, weak assurance, and unnecessary sensitive-data handling.


Context

Most verification scripts fail when they assume a single identifier can anchor identity for every user. In practice, identity verification has to work across people who do not have an SSN, people who should not be asked for one, and people whose records are better confirmed through an issuing authority rather than a memorised fallback question.

The governance problem is not only coverage but data minimisation. If an SSN is collected just to make an identity script feel complete, the organisation turns a fragile verification signal into a permanent sensitive attribute that attackers value and users cannot rotate. That is a human identity control issue first, and a privacy and operational risk issue second.


Key questions

Q: What breaks when identity verification depends on an SSN fallback question?

A: The flow breaks for legitimate users who do not have an SSN, including many non-US users, work-authorised arrivals still waiting on paperwork, and people with alternative tax identifiers. It also turns a support script into a data-collection problem by pushing teams to store a sensitive field that adds little assurance and cannot be rotated if exposed.

Q: Why does asking for an SSN create more risk in identity verification?

A: Because an SSN becomes a permanent sensitive attribute once collected, yet it is a weak verifier on its own. Attackers value it, users cannot change it, and the organisation gains retention and exposure obligations without materially improving trust. The better model is to verify the presented document against the issuing authority instead.

Q: How do teams verify users without relying on knowledge-based identity checks?

A: Use an authoritative document check that confirms the issuing authority has a matching record, rather than asking a user to recall a number or answer a legacy challenge. That approach is stronger because it validates the identity evidence at the source, not through memory, and it works for people who have no SSN to provide.

Q: How should organisations handle SSN data safely during background verification workflows?

A: Organisations should collect SSNs only for a legitimate screening purpose, limit access to staff with a need to know, and secure the data at rest and in transit. They should also define retention limits, remove SSNs from systems when the check is complete, and apply vendor oversight. That reduces breach exposure, misuse, and the long-tail identity theft risk tied to leaked SSNs.


Technical breakdown

Why SSN-based fallback scripts break down

An SSN is a US-specific identifier, not a universal proof of identity. Verification flows that treat it as a fallback implicitly assume the user has one, remembers it, and is allowed to disclose it. That fails for non-US users, work-authorised arrivals who are still in the application window, people with ITINs, and legitimate dependents or alumni whose records were built under different rules. The result is a brittle support script that confuses incomplete data with failed identity.

Practical implication: Design verification paths around document and authority checks, not around a single remembered identifier.

Why issuing-authority checks change the assurance model

A visual scan of an identity document only tells you that a document looks plausible. A live check against the issuing authority confirms that the record exists and matches the presented document, which is a much stronger control. That distinction matters because generative AI and high-quality forgeries have made image inspection a weak verification method. The assurance comes from querying the source of truth, not from deciding whether a picture seems authentic.

Practical implication: Use authoritative record verification when the goal is to confirm identity, not simply inspect a document.

Why SSN collection becomes a governance problem

Once an SSN enters a workflow, it becomes a sensitive record that must be protected, retained correctly, and defended long after the verification event. That creates unnecessary attack surface for an attribute that cannot be rotated and often adds little value beyond legacy convenience. In identity governance terms, the issue is not just whether the user can be verified, but whether the organisation has introduced an avoidable secret into the process.

Practical implication: Remove SSN collection from identity flows where it is not strictly required and reduce the sensitive-data footprint of verification.


Threat narrative

Attacker objective: Exploit a brittle identity script to gain access or harvest a persistent personal identifier that is difficult for the owner to replace.

  1. Entry occurs when a help desk or onboarding script uses the SSN as a fallback verification question.
  2. Credential access follows when the organisation asks for a stable, widely exposed personal identifier that can be reused across interactions.
  3. Impact is weak identity assurance and avoidable sensitive-data exposure, because the script fails for legitimate users while preserving high-value data attackers want.
  • Co-op cyber attack 2025: Attackers linked to Scattered Spider tricked their way into a Co-op employee account and stole personal data of all 6.5 million members.
  • MGM Resorts breach 2023: A help desk call gave attackers Okta and Azure admin access at MGM, leading to ransomware, ten days of outages and a $100 million hit.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.


NHI Mgmt Group analysis

SSN fallback is identity debt: the problem is not merely a missing data field, but a verification script that has encoded a US-centric assumption into an access decision. That creates a mismatch between who can be verified and who can answer the question, and it pushes support teams toward improvisation. In identity programmes, brittle fallback questions are governance failures, not just UX defects.

Authority-based verification is the stronger trust model: a document checked against the issuing authority changes the trust anchor from recalled knowledge to an authoritative record. That is the right direction for human identity assurance when users are distributed, mobile, and not uniformly issued the same identifiers. Practitioners should treat source-of-truth validation as the default where it is available.

Identity proofing should minimise persistent sensitive data: collecting an SSN to support a one-time verification event is a poor trade-off because it creates a durable record without improving downstream access control. The right control question is whether the flow can complete without storing an identifier the user cannot change. Teams should design for proof, not retention.

Verification scope must match population reality: many organisations still design identity scripts as if every user were a US resident with a traditional SSN history. That assumption no longer fits modern workforce, customer, and alumni populations, especially in globally mixed environments. Practitioners should align verification methods with the actual population they serve, not the easiest-case user.

No-SSN verification exposes a wider lifecycle gap: the article surfaces a named concept we can call fallback-script fragility, where a single legacy question silently becomes the gate for whole groups of legitimate users. That fragility is operationally inefficient and governance-heavy, because every exception path becomes a manual decision point. Teams should replace brittle fallback scripts before they become the default control.

What this signals

Fallback-script fragility: legacy identity checks often fail because they confuse a convenient question with a reliable trust signal. The right corrective action is to move verification to the authority that issued the document and to remove brittle, memory-based fallback paths from the process.

Identity teams should treat SSN collection as a data-minimisation issue, not only a support issue. Once a verification flow can prove identity without collecting a permanent identifier, the organisation reduces both user friction and the downstream liability of storing sensitive personal data.

A verification process that still depends on a single US-centric fallback is already misaligned with modern populations. Global workforces and mixed customer bases need proofing methods that handle legitimate users without forcing them into a narrow, country-specific script.


For practitioners

  • Replace SSN fallback questions Use document-and-authority checks for identity verification so the flow works for legitimate users who have no SSN and does not force disclosure of a hard-to-rotate identifier.
  • Remove SSN collection from verification Stop storing SSNs in identity workflows unless a specific legal or operational requirement exists, because the field adds sensitivity without improving verification quality.
  • Validate against issuing authorities Require live record confirmation from the issuing authority instead of relying on visual inspection or knowledge-based fallback questions.
  • Document non-SSN exception paths Map what happens for users who have no SSN, including non-US users, work-authorised arrivals, ITIN holders and dependent users, so support teams do not improvise under pressure.
  • Minimise retained verification data Delete session data, document images and other unnecessary PII once verification is complete, so the proofing flow does not create a new long-term records problem.

Key takeaways

  • SSN-based identity scripts fail when they assume every legitimate user can supply the same US-specific identifier.
  • A live check against the issuing authority is a stronger verification model than asking users to recall or disclose a fallback number.
  • Removing SSN collection from verification flows reduces both user friction and the long-term exposure of sensitive personal data.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

NIST SP 800-63, NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the technical controls, while GDPR defines the regulatory obligations.

FrameworkControl / ReferenceRelevance
NIST SP 800-63SP 800-63A — Enrollment and Identity ProofingThe article is about identity proofing methods for users without an SSN.
SP 800-63B — AuthenticationThe article highlights weak knowledge-based fallback checks and the need for stronger identity signals.
Recommendation — Use SP 800-63A to design proofing flows that accept authoritative evidence instead of legacy fallback questions. Replace knowledge-based fallback checks with stronger authenticators and authoritative evidence where possible.
NIST CSF 2.0PR.AA-05 — Access Permissions, Entitlements and AuthorizationsVerification choices affect who can be trusted into access workflows and how identities are admitted.
Recommendation — Align identity proofing with PR.AA-05 so admission decisions do not depend on brittle or overexposed identifiers.
NIST SP 800-53 Rev 5IA-2 — Identification and Authentication (Organizational Users)The article concerns how organisations identify and authenticate real users during verification.
Recommendation — Apply IA-2 to ensure user verification does not rely on a single fragile identity question.
GDPRArt.5(1)(c) — Data minimisationThe article argues for avoiding unnecessary collection of permanent personal data such as SSNs.
Recommendation — Minimise personal data collected during verification and avoid storing identifiers that are not required.

Key terms

  • Identity proofing: The process of verifying that a person is who they claim to be before granting or restoring access. In higher-risk recovery paths, proofing can include stronger evidence checks such as government ID validation or liveness-based facial verification so the assurance level matches the sensitivity of the request.
  • Fallback Verification: A secondary identity check used when the primary authentication factor is unavailable or fails. Its security matters because attackers often target the fallback path, and weak recovery logic can become the easiest way to obtain legitimate access.
  • Data Minimization: Data minimization is the practice of limiting personal data collection to what is adequate, relevant, and necessary for a specific purpose. It reduces exposure by shrinking what is gathered, transferred, retained, and processed. Strong minimization depends on careful form design, purpose review, and strict collection discipline.
  • Issuing Authority Check: An issuing authority check confirms identity evidence by asking the source organisation that created it whether the presented record is valid. This is stronger than visual inspection because it tests the document against the authoritative record rather than against human judgement alone.

Deepen your knowledge

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NHIMG Editorial Note
Published by the NHIMG editorial team on September 14, 2026.
Updated on October 11, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org