Each method protects against a different weakness. Knowledge-based authentication challenges the signer with personal knowledge drawn from data sources, while ID verification checks whether the identity document itself appears genuine. When used together, they make impersonation harder, especially when the signer is not physically present. This layered approach also strengthens reviewer confidence during the notarization session.
Why layered identity checks matter in remote notarization
Remote notarization is vulnerable because the signer and the notary are not in the same physical place, so the process has to compensate for the lack of direct, face-to-face scrutiny. Knowledge-based authentication and document review solve different problems: one tests whether the person can answer identity-linked questions, while the other tests whether the identity document appears legitimate and consistent with the claimed identity.
That separation is important because fraud often succeeds through one weak point rather than through the whole process. A good answer set does not prove that the person is physically present or that the credentials in circulation are genuine, and a convincing ID image does not prove that the presenter is the lawful owner of the identity. Combined, they raise the cost and complexity of impersonation.
- OWASP ASVS is a useful reference for the underlying idea that authentication assurance should not depend on one control path alone.
- eIDAS 2.0 is relevant where regulated digital identity and trust services shape how identity evidence is validated across sessions and borders.
Where fraud attempts usually exploit the process
The main weakness in remote notarization is not usually a single failed check, but the gap between checks. An attacker may use stolen personal data to pass knowledge-based questions, then present an altered, expired, or borrowed identity document; or they may have a valid-looking document image while lacking the underlying knowledge expected of the real signer. Layering both controls narrows those paths.
This also helps the notary because the two methods create different evidence streams. If the answers and the document do not align, the session can be paused for escalation rather than being treated as a routine pass. That is especially valuable when there is no physical inspection, because the notary cannot rely on proximity, body language, or document handling cues to resolve uncertainty.
For practitioners, the key point is that layered checks reduce fraud risk by forcing an impersonator to defeat two different control types under time pressure, which is materially harder than defeating either one alone.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and NIST SP 800-63 set the technical controls, while EU AI Act define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AA — Identity Management, Authentication, and Access Control | Remote notarization depends on reliable identity proofing and authentication evidence. |
| Recommendation — Strengthen identity assurance by requiring multiple independent verification checks before accepting a remote notarization session. | ||
| NIST SP 800-63 | IAL — Identity Assurance Level | Identity verification strength is central to how confidently a remote signer can be trusted. |
| AAL — Authenticator Assurance Level | Knowledge-based checks function as an authentication factor whose assurance should be calibrated. | |
| Recommendation — Use the appropriate assurance level to match the identity evidence required for the transaction. Select an authenticator assurance level that reflects the fraud impact of the notarized act. | ||
| EU AI Act | Trustworthy AI and Human Oversight | Remote identity checks are high-stakes decision support where human review remains important. |
| Recommendation — Keep human oversight in the loop when remote identity evidence is inconsistent or high risk. | ||
Practitioner Guidance
What to verify: Treat the combined result as stronger only when the knowledge-based answers, the document details, and the session context all agree. If one check passes and the other is ambiguous, do not treat that as a soft success, because inconsistency is often the first sign of a synthetic or stolen identity attempt.
Decision rule: If the signer cannot answer the knowledge-based prompts cleanly, or the ID shows signs of tampering, mismatch, or poor image quality, escalate rather than trying to “average out” the risk. The control is meant to improve assurance, not to compensate for a weak pass on one side with optimism on the other.
Practitioner takeaway: The value of combining the controls is not redundancy for its own sake, it is that each check closes a different fraud path, so the session becomes harder to game and easier to challenge when the evidence conflicts.
Risk and Threat Considerations
Remote notarization creates an identity assurance gap because the notary depends on remote evidence instead of direct, physical inspection. That makes stolen data, forged documents, and identity impersonation more attractive, especially when the attacker only needs one control to fail in order to proceed.
Failure mechanism: Knowledge-based authentication can be defeated through exposed personal data, public-record enrichment, or social engineering, while ID verification can be undermined by high-quality forgeries, altered images, or borrowed documents. When either control is used alone, the attacker can target the weaker path.
Impact: A successful bypass can result in fraudulent notarization, document invalidity, downstream legal disputes, and loss of confidence in the remote session. The combined control set does not eliminate fraud, but it materially reduces the chance that a single compromised evidence source is enough to impersonate the signer.
Related resources from NHI Mgmt Group
- How should security teams reduce account takeover risk when remote and hybrid workers rely on password-based authentication?
- What is the difference between facial verification and traditional knowledge based authentication in remote healthcare delivery?
- What is the difference between possession-based authentication and knowledge-based or biometric verification in fraud prevention?
- Why does biometric authentication reduce risk in remote onboarding and customer verification?