Government & Public Sector · Capability

Digital Identity, Document & Civic Authentication

An Afghan name romanizes a dozen ways. To a system built for one spelling, the real person reads as a mismatch.

Identity proofing, document authentication, and biometric verification calibrated for Afghan names, scripts, and documents — aligned to NIST SP 800-63, eIDAS 2.0 and the EU Digital Identity Wallet, and ISO/IEC 30107 presentation-attack detection. For government programs, health systems and payers, financial institutions, and platforms: the real person is verified, the fraudulent document is caught — not the reverse.

Convened by Ariana Nexus · Government & Public Sector Practice · Washington, D.C.

Request an Identity Resolution Review
In this briefing
For your role
Definition

What is Afghan identity and document authentication?

Digital Identity, Document & Civic Authentication is identity proofing, document authentication, and biometric verification calibrated for Afghan populations — Afghan name transliteration and matching, authentication of Afghan civil and travel documents, and presentation-attack detection. It is aligned to eIDAS 2.0 and the EU Digital Identity Wallet, NIST SP 800-63 identity-assurance levels, and ISO/IEC 30107 presentation-attack detection. Ariana Nexus calibrates identity systems so a real Afghan person is verified and a fraudulent document is caught — with fairness and privacy safeguards, across all 24 Afghan languages and scripts.

In brief

Afghan names romanize many ways and rarely follow a fixed surname, and Afghan documents are in Perso-Arabic script — so identity systems built for other populations falsely reject real people and fail to authenticate genuine documents. Correct verification requires calibration for Afghan names, scripts, and documents, aligned to eIDAS 2.0, NIST SP 800-63, and ISO/IEC 30107.

The Problem

The system was not built to read this population

The system was not built to read this population — so it fails them twice.

Identity systems assume documents verify against a trusted registry, names map cleanly to one spelling, and biometrics resolve without ambiguity. For Afghan populations, none of that holds. Names romanize a dozen ways and rarely follow a fixed surname; documents are in Dari and Pashto script; the civil registry is now under contested control; and many people arrived with no documents at all.

A system calibrated for other populations does not simply struggle here — it fails in two directions at once. It falsely rejects the real person, excluding a refugee from the benefit, status, or service they are entitled to. And it cannot reliably authenticate Afghan documents, leaving fraud undetected in exactly the records that matter most. Neither failure announces itself; both surface later, as denied claims and corrupted data.

The standards now make this unavoidable. eIDAS 2.0 puts a digital identity wallet in every European hand by the end of 2026; NIST SP 800-63 governs identity assurance in the United States; ISO/IEC 30107 sets the bar for detecting spoofs and deepfakes. A system that meets the standard but cannot resolve an Afghan identity meets it on paper only.

Ariana Nexus calibrates the system for the population — names, scripts, and documents — so the real person is verified, the fraudulent one is caught, and neither is decided by a spelling.

Failure one — the real person
The real person
Uncalibrated identity system
Wrongly rejected
A refugee excluded from the benefit, status, or service they are entitled to.
Failure two — the fraudulent document
A fraudulent document
Uncalibrated identity system
Wrongly cleared
Fraud left undetected in exactly the records that matter most.
With Ariana Nexus calibration
The real person — verified
The fraudulent document — caught
eIDAS 2.0
A digital identity wallet in every EU hand by end-2026.
ISO/IEC 30107
The presentation-attack-detection bar, now facing deepfakes.
Transliteration Variance Index
Our name-matching measure.
The Evidence Ledger

What identity failure measurably costs

Six findings from government, standards-body, and peer-reviewed sources. Each is a number a board can act on.

1 in 5
Within a single facility, patient-record match rates can run as low as 80 percent — up to one in five patients unmatched to their own chart.
The Pew Charitable Trusts · Enhanced Patient Matching · 2018
50%
Between organizations, match rates can fall to half — even when both sides run the same electronic health record vendor.
Pew 2018 · ONC Patient Identification & Matching Report 2014
58.3%
Share of 398,939 confirmed-duplicate record pairs whose middle-name fields disagreed — name variance is the leading driver of duplication.
Just et al. · Perspectives in Health Information Management · 2016
7,613
Wrong-patient events reported by 181 healthcare organizations over 32 months; roughly 9 percent caused harm — two were fatal.
ECRI Institute PSO Deep Dive · 2016
42%
Of 3.8 million suspicious-activity reports filed in 2021, the share that was identity-related — $212 billion in reported suspicious activity.
FinCEN Financial Trend Analysis · January 2024
10–100×
Higher one-to-one face-match false-positive rates for Asian and African American faces, across 189 algorithms tested.
NIST FRVT Part 3 · NISTIR 8280 · 2019

Primary sources only — regulators, standards bodies, and peer-reviewed journals, dated as published. Vendor-survey figures are excluded by policy.

A name the system cannot match is a person it cannot verify.

Identity verification for Afghan populations is not a technology problem. It is a calibration problem — a system never built for Afghan names, scripts, and documents fails them systematically, rejecting the real person and clearing the fraudulent one, with fluency in neither.

The Signature Problem

Why do Afghan names break identity matching?

Afghan names romanize a dozen ways, often lack a fixed surname, and use patronymics — so a system built for one spelling reads variants as mismatches. This is the gap the firm measures and closes.

محمد
One person, one name
Mohammad
Muhammad
Mohammed
Muhammed
Mohamed
Mohamad
Muhamad
Mohammad
Mohammod
Muhammod
Mohmmad
Mohammud
Verified identity
One resolved match

Even the passport standard concedes the spread: under ICAO Doc 9303, the machine-readable zone and the visual zone of the same passport may carry two different Latin renderings of the same name. The Transliteration Variance Index quantifies this spread — and its measured effect on matching.

Operating Model

One practice. Three coordinated capabilities.

Three institutional capabilities, orchestrated into accurate, fair identity resolution.

HIC
Human Intelligence Collective
Lived-expertise practitioners across all 24 Afghan languages; the cultural gatekeepers who keep every engagement anchored in ground truth, never extractive.
Afghan subject-matter experts in name structure and transliteration, civil and travel documents, and dialect and script — the human ground truth that calibrates the system and adjudicates the edge cases a model cannot.

Protocol — Five-Gate Adjudication Qualification

ADF
AI Data Factory
Governed Afghan-language data infrastructure, evaluation benchmarks, and institutional-grade training assets meeting auditable standards.
Afghan name transliteration and matching; authentic-document reference data; Perso-Arabic script and OCR; biometric presentation-attack-detection calibration; synthetic-document and deepfake detection; privacy-preserving accuracy analytics.

Protocol — The Cultural Hallucination Audit

CCB
Cultural Compliance Bureau
An audit-grade review regime translating cultural intelligence into compliance-ready practice — the governance layer threading through every engagement.
Fairness and false-rejection-rate audit by subgroup; privacy, data-minimization, and civil-liberties review; document-authenticity sign-off; the CCB Sign-Off Mark.

Protocol — The CCB Sign-Off Mark

Identity resolved — correctly

Three capabilities. One identity resolved correctly.

The Path

How Ariana Nexus calibrates the system: the Afghan Identity Resolution Standard

Integrated 4-phase system. 3 institutional capabilities. 5 validation gates. The Afghan Identity Resolution Standard™ calibrates the system; the Five-Gate Validation Protocol™ governs every decision across it.

The Four-Phase Orchestration Cycle

I · Situation — Understand
The system's Afghan-case failure modes mapped — false rejections, name mismatches, unverifiable documents, spoofing exposure.
Cultural mapping · stakeholder calibration · constraint discovery.
II · Complication — Architect
The Resolution Standard, name-matching and document-authentication models, and presentation-attack-detection calibration designed before deployment.
Program scaffolding · compliance baseline · governance charter.
III · Resolution — Deploy
Calibrated identity resolution, document authentication, and PAD integrated into the system, with human adjudication for edge cases.
In-context execution · data infrastructure.
IV · Measured Outcome — Govern
False-rejection rates, authentication accuracy, and fairness reviewed; deepfake and synthetic threats re-validated.
Continuous documentation · red-team validation · multi-decade horizon.

The Five Gates

1
Linguistic Accuracy
Afghan name transliteration and matching, and document translation, validated across 24 languages and scripts; the Pashto-Dari Parity Index applied.
2
Cultural Validity
Name-structure and document conventions validated by Afghan subject-matter experts; edge cases adjudicated by humans; cleared by the CCB Sign-Off Mark.
3
Standards Conformance
eIDAS 2.0 (EU) and NIST SP 800-63 (US) identity-assurance levels; ISO/IEC 30107 presentation-attack detection; ISO/IEC 27001.
4
Population Risk
False-rejection-rate fairness across subgroups; privacy, data minimization, and purpose limitation; no surveillance overreach; the real person verified and the fraudulent document caught.
5
Institutional Sign-Off
Identity-resolution and authentication decisions documented, auditable, and defensible.

ADF heaviest at Phases II–III; HIC at calibration and edge-case adjudication; CCB at full intensity across all four.

The Discipline

Five gates. Four phases. One identity file that survives audit.

24 Afghan languages and scriptsCalibrated by native expertsGoverned by the Cultural Compliance Bureau
Security
ISO/IEC 27001-aligned. Zero security incidents.
Trust Center →
Privacy by design
Data minimization, purpose limitation, no surveillance overreach.
Trust Center →
Fairness
Subgroup-fair false-rejection rates — the real person is not wrongly excluded.
Detection only
Verification and detection only. Never forgery or spoofing tradecraft.

Full assurance documentation in the Trust Center.

Standards & Compliance

Standards & compliance

Mapped to the registries an identity-program owner, a KYC lead, and a privacy officer recognize.

What We Authenticate

What we authenticate

One population's documents — across every form they take, from a national ID to an academic transcript to a handwritten record a generation old.

Identity documents
Tazkira, e-Tazkira, passports, and national identity documents — read against authentic-document references.
Vital records
Birth, marriage, divorce, and death certificates — names, dates, and seals verified across script and spelling.
Education credentials
Academic transcripts, diplomas, degrees, and professional certifications — verified for credential evaluators, universities, and licensing bodies.
Civil & legal documents
Affidavits, court records, and property and land documents — authenticated with Afghan legal-document expertise.
Benefit & status claims
Eligibility and benefit claims and status applications — the identity behind the claim resolved correctly.
Historical & handwritten records
Older civil records and manuscripts — where script, hand, and era must be read, not just scanned.
Medical records
Medical and health records — verified for benefits, disability, immigration-medical, and continuity-of-care decisions, with Afghan clinical-document and name expertise.
Migration & immigration documents
Visas, permits, residency and immigration case-file documents — authenticated for immigration and border decisions.
Related: Asylum & Resettlement Operations →

If it carries an Afghan name in an Afghan script, we can read it — and tell you whether it is real.

Healthcare

Identity in the health system

A transliterated name is not a data-quality nuisance. It is a patient-safety event waiting to file itself — one new spelling, one new medical record.

Master patient indexes match on the exact fields Afghan names destabilize: spelling, surname structure, and field order. A patient registered as Mohammad at the emergency department, Muhammed at the lab, and Mohamed at the payer is three records — three fragmentary histories, repeated tests, mis-routed results, and a denial trail no revenue-cycle team can untangle. In 2011, one Texas system reported 2,488 records named Maria Garcia, 231 sharing a date of birth; for transliterated names the collision space is wider and the variance is structural.

The obligations are already on your books. What is usually missing is the calibration layer that lets the organization meet them for this population — resolving every spelling to one verified patient, documenting the decision, and proving subgroup-fair error rates when the auditor asks.

The Joint CommissionTwo patient identifiers for every episode of care — NPG.01.01.01 EP 1 under the 2026 National Performance Goals for hospitals; NPSG.01.01.01 continues in non-hospital programs. An identifier that cannot survive transliteration does not satisfy the goal.
HIPAA · 45 CFR 164.514(h)Verify the identity and authority of any person requesting protected health information — and, under OCR right-of-access guidance, verification may not become a barrier. A spelling mismatch that blocks a patient from their own chart is exactly such a barrier.
42 CFR Part 2 · 2024 final ruleSubstance-use-disorder confidentiality keyed to patient identifying information — name, photograph, fingerprints, and similar identifiers. Compliance date passed February 16, 2026; OCR civil enforcement is live.
Provider-side identityDEA EPCS requires identity proofing before credential issuance and two-factor authentication to sign controlled-substance e-prescriptions (21 CFR 1311.105–.115); NCQA credentialing requires primary-source verification of eleven elements, recredentialed every 36 months; CMS screens enrolling providers at three risk levels (42 CFR 424.518).
The compliance clock
Jan 1, 2026
National Performance Goals take effect for Joint Commission hospital accreditation — patient identification is Goal 1.
Feb 16, 2026
42 CFR Part 2 compliance date passes; OCR announces first enforcement under the 2024 rule.
End of 2026
Every EU member state must offer a Digital Identity Wallet — cross-border ePrescription already piloted.
May 5, 2027
REAL ID phased enforcement reaches full card-based enforcement at federal checkpoints.

A health system that cannot resolve a transliterated name to one patient cannot meet the obligations it already carries.

Digital Media & Communications

Authentication does not stop at documents

The same calibration problem appears wherever Afghan-language material has to be read and trusted — in video, audio, images, and the messages that move across phones and platforms. English-centric tools mishear the dialect, miss the context, and cannot tell the real from the synthetic.

Media authentication & deepfake detection
Video, audio, and image authenticity assessed for manipulation, synthetic generation, and presentation attacks — aligned to ISO/IEC 30107 and the EU AI Act's deepfake-disclosure regime.
Afghan-language transcription
Audio and video transcribed and time-coded across all 24 Afghan languages and dialects — calls, broadcasts, field recordings, and submitted media.
Communications translation & verification
WhatsApp, Telegram, and other messages translated and verified in context — with the dialectal and cultural nuance a literal translation loses.
Provenance & chain-of-context
What a piece of media is, where it came from, and whether it is what it claims to be — documented to an evidentiary standard.

Real or synthetic, spoken or written — the question is the same: is it what it claims to be?

Media submitted by the client, reviewed under the firm's privacy and civil-liberties standard. No surveillance overreach.

Trust & Safety

Trust and safety, in the languages the classifiers miss

English-centric moderation systems do not read Pashto, Dari, or Afghanistan's other languages well — so harmful Afghan-language content goes undetected, and legitimate Afghan voices are wrongly removed. The failure runs in both directions, and both have victims.

Hate speech & incitement
Afghan-language detection and human review of hate speech, incitement, and coordinated harassment — in dialect and context, not by keyword.
Violent extremism & threats
Identification of extremist content and credible threats in Afghan languages, escalated for action.
Child safety
Detection and human review of child sexual abuse material and child-endangerment content, with complete, context-rich referrals that support platforms' mandatory reporting to NCMEC's CyberTipline and its international equivalents.
Detection, review, and reporting support only.
Women's safety & rights
Detection of gender-based abuse, honor-based threats, and targeted harassment of Afghan women and girls — while protecting women's-rights advocacy from wrongful removal.
Labor exploitation & trafficking
Identification of forced-labor, trafficking, and exploitation indicators in Afghan-language content and communications.
Fair moderation
Subgroup-fair error rates, so legitimate cultural, political, and religious expression is not swept up with genuine harm.

The goal is not to remove more. It is to remove what is harmful — and protect what is not.

Detection, human review, and reporting support — within platforms' legal obligations and the firm's privacy and civil-liberties standard.

Without Calibration

What happens without calibration

Systems deployed without Afghan-specific calibration failed in more than one direction. They falsely rejected real people and failed to authenticate genuine documents. They mistranslated and mis-moderated Afghan-language content — missing real harm while removing legitimate voices. And they cleared manipulated media they could not read.

None of it announced itself. It surfaced as denied claims, corrupted records, undetected abuse, and — where fairness was tested — error rates no program wanted on the record.

A system that fails the real also clears the false.

The Mandate Register

The obligations this capability answers

Seven binding instruments, with status as of June 2026. Identity calibration is not a discretionary improvement — it is how these are met for populations the default system cannot read.

InstrumentCitationStatus · June 2026What it requires
NIST Digital Identity Guidelines, Rev 4NIST SP 800-63-4 / 63A-4 / 63B-4 / 63C-4Final · July 31, 2025 · binding on federal agencies (OMB M-19-17); reference standard elsewhereRisk-based identity proofing at IAL1–IAL3. Rev 4 makes IAL1 a genuine proofing level and adds a non-biometric IAL2 pathway.
European Digital Identity FrameworkRegulation (EU) 2024/1183In force · implementing acts adopted; wallets due by end of 2026Every member state must offer an EU Digital Identity Wallet; cross-border ePrescription among the piloted use cases.
The Joint Commission — patient identificationNPG.01.01.01 EP 1 (hospitals); NPSG.01.01.01 (other programs)In force · National Performance Goals effective January 1, 2026Use at least two patient identifiers when providing care, treatment, and services.
HIPAA Privacy Rule — verification45 CFR 164.514(h); 45 CFR 164.524In force · OCR right-of-access enforcement ongoingVerify the identity and authority of any person requesting PHI — without letting verification become a barrier to access.
Confidentiality of SUD records42 CFR Part 2 · 89 FR 12472 (2024)Fully operative · compliance date February 16, 2026; OCR enforcement liveProtections keyed to patient identifying information — name, photograph, fingerprints, and similar identifiers.
DEA — electronic prescribing of controlled substances21 CFR 1311.105, 1311.110, 1311.115In force · interim final rule since June 2010Identity proofing before credential issuance and two-factor authentication for every controlled-substance e-prescription.
REAL ID90 FR 3472 · phased enforcement ruleEnforcement since May 7, 2025 · full card-based enforcement by May 5, 2027Federal acceptance limited to compliant credentials; mobile driver's licenses accepted under TSA waivers in 20 states plus Puerto Rico.

Status verified against primary sources as of June 12, 2026. This register is informational — confirm against the controlling text at engagement; it is not legal advice.

Where Programs Stand

The Identity Readiness Ladder

Five levels separate a program that cannot see this population from one whose decisions survive audit. Most programs discover they are lower than they assumed.

L1
UnscoredThe population is invisible to the metrics. No one can say what the false-rejection rate is, because no one has measured it.
L2
Aware◆ Most programs sit hereFailures are known anecdotally — a denied claim, a duplicate file, a flagged document — but nothing is quantified or owned.
L3
MeasuredMatch rates, duplicate rates, and false rejections are broken out by population and script — the gap has a number.
L4
CalibratedName, script, and document handling are tuned to the population; validation gates govern every decision in the pipeline.
L5
Audit-gradeSubgroup parity is documented, evidence is retained, and every identity decision is explainable to a regulator, an auditor, or a court.

The Identity Resolution Review places your program on this ladder — and prices the distance to Level 5.

What Partnership Looks Like

Your system, calibrated

From foundations to continuous stewardship.

1 / 4 · Foundations
Scoped, audited, architected
The system's Afghan-case failure modes mapped against eIDAS 2.0, NIST SP 800-63, and ISO/IEC 30107.
2 / 4 · Activation
Calibrated to the population
The Resolution Standard, matching and authentication models, and PAD calibration built.
3 / 4 · Operating Rhythm
The active state
Identity resolution and authentication running, with human adjudication; fairness and accuracy reviewed.
4 / 4 · Continuous Stewardship
Across decades
Audit-grade records maintained; deepfake and synthetic threats re-validated.

The Receivables

The Afghan Identity Resolution Standard™, applied.
Names, documents, and biometrics resolved correctly for Afghan populations.
Afghan name transliteration and matching, calibrated.
The dozen-spelling problem solved, with the Transliteration Variance Index behind it.
Document authentication for Afghan civil and travel documents.
Tazkira, e-Tazkira, passports, and more — assessed against authentic-document references.
Biometric presentation-attack detection to ISO/IEC 30107.
Spoofs and deepfakes caught, with subgroup-fair false-rejection rates.
eIDAS 2.0 and NIST SP 800-63 assurance-level alignment.
EU wallet and US identity-assurance contexts, documented.
Vital, civil, and historical documents authenticated.
Birth and marriage certificates, court and property records, and older handwritten documents — assessed against authentic-document references.
Education credentials verified for evaluators and licensing bodies.
Transcripts, diplomas, and certifications resolved for credential-evaluation, admissions, and licensing decisions.
Medical and migration documents verified.
Health, immigration, and case-file documents resolved for benefits, border, and continuity-of-care decisions.
Digital media authenticated.
Video, audio, and images assessed for manipulation and synthetic generation — to an evidentiary standard.
Afghan-language content moderated, fairly.
Hate speech, threats, child-safety, and abuse detected and reviewed in context — with legitimate expression protected.
A fairness and false-rejection audit.
Proof the system does not exclude the real person.
Privacy and civil-liberties safeguards.
Data minimization, purpose limitation, no surveillance overreach.
Regulatory alignment, documented.
Work mapped to the DSA, the EU AI Act, the UK Online Safety Act, Australia's online-safety regime, and US reporting obligations.
Human adjudication for edge cases, and 24/7 technical support.
People who read the document and the name, behind every automated decision.

What you receive is not a black-box score. It is the real person verified — and the fraudulent document caught.

Global Reach & the Regulatory Landscape

One population. Every jurisdiction's rules at once.

Afghan identities and documents must be verified — and Afghan-language content moderated — across the United States, the EU's eIDAS 2.0 wallet and asylum systems, the United Kingdom, Australia, Canada, the Gulf, Latin America, and the humanitarian programs that serve displaced populations. Everywhere, the same names, scripts, and documents meet the same uncalibrated systems. Credential evaluators and licensing bodies assessing Afghan academic and civil documents work in every one of these markets.

Coverage

North America
United StatesCanada
Europe — EU
GermanyFranceItalyNetherlandsSwedenAustriaBelgiumGreece
United Kingdom
United Kingdom
Australia
Australia
Latin America
Brazil & the region
Gulf
United Arab EmiratesSaudi ArabiaQatar
Humanitarian programs
Digital-identity programs serving displaced populations

The Regulatory Landscape

Verification and content decisions for Afghan populations must satisfy the rules of every jurisdiction at once. Ariana Nexus builds to them — and reads the Afghan-language content the rules turn on.

European Union
  • Digital Services Act (DSA) — content-moderation duties: notice-and-action, statements of reasons, a trusted-flagger regime, and systemic-risk assessment and mitigation for very large platforms; enforcement broadening through 2026.
  • AI Act — Article 50 — from August 2026, AI-generated and deepfake audio, video, image, and text must be marked and disclosed.
  • eIDAS 2.0 & GDPR — identity-assurance and data-protection baselines.
United Kingdom
  • Online Safety Act 2023 — Ofcom-enforced duties on illegal content and child safety; technology notices addressing child sexual abuse and terror content; a stated priority on protecting women and girls; penalties up to £18M or 10% of global turnover.
Australia
  • Online Safety Act 2021 & the eSafety Commissioner — Basic Online Safety Expectations and enforceable industry codes.
  • Social Media Minimum Age — from December 2025, platforms must take reasonable steps to keep under-16s off age-restricted services; penalties up to A$49.5M.
United States
  • 18 U.S.C. § 2258A — mandatory reporting of child sexual abuse material, online enticement, and child sex trafficking to NCMEC's CyberTipline.
  • TAKE IT DOWN Act (2025) — non-consensual intimate imagery, including AI deepfakes, removed within 48 hours of a valid request.
  • COPPA — children's-data protection for under-13s, under updated FTC rules.
  • A fast-moving federal and state landscape — the Kids Online Safety Act and state app-store and age-verification laws.
Canada
  • Mandatory internet-child-pornography reporting and the Online Streaming Act; broader online-harms legislation under continued development.
Latin America
  • Brazil — the Marco Civil da Internet and the LGPD data-protection law, amid evolving platform-liability rules.
Gulf
  • National cybercrime and online-content regulations across the United Arab Emirates, Saudi Arabia, and Qatar.

The jurisdiction changes. The standard does not.

The Institution

Convened by Ariana Nexus · Washington, D.C. The bench is assembled, the standard is written, and the door is open.

Leadership

Who leads this capability

Wasil Peroz
Senior Partner, Identity & Authentication
Leads the practice's identity-proofing, document-authentication, and biometric and media-verification work, and the authentication standards that govern it across Afghan names, documents, and media.
Maryam Safi
Principal, Cultural Compliance Bureau
Leads privacy, fairness, and cultural-compliance governance across the capability — subgroup-fairness review, civil-liberties safeguards, and the protection of legitimate Afghan voices — and holds the CCB Sign-Off Mark.
B.A. | Cornell University
The Cultural Authentication Bench
Human Intelligence Collective · 24 Afghan languages
The bench of Afghan subject-matter experts, native authenticators, and cultural authorities across all 24 Afghan languages who provide the human ground-truth and cultural validation behind every decision. Represented by function, not by name — for the security of the people who do the work.
Proof & Published Research

Proof & published research

24Afghan languages and scripts
0security incidents
100%senior-led engagements
41+Trust Center documents

Published research & benchmarks

A Note to Readers

A note to senior evaluators

If your program faces a specific identity-resolution, document-authentication, media, or content-integrity question — or if you see something on this page worth challenging — we welcome the dialogue. Considered perspectives from the people who run these systems make our work sharper.

Open a confidential dialogue →
Request a Briefing

Request an Identity Resolution Review

For health systems and payers, government identity and benefits programs, immigration and border authorities, digital-identity and KYC providers, platforms and their trust-and-safety functions, international credential and education evaluators, and humanitarian programs. Briefings are conducted under NDA, in Washington, D.C. or virtually.

01A confidential briefingUnder NDA, in Washington, D.C. or virtually — your program, your failure modes, our read.
02An Identity Resolution ReviewA structured assessment of your population, pipeline, and evidence — placed on the Readiness Ladder.
03A calibration planScope, gates, governance, and sign-off — in writing, before any commitment.
Request a confidential briefing

Verify the real, catch the false. A system that cannot do both does neither.

The Afghan Identity Resolution Standard™ · Standards adherence (eIDAS 2.0, NIST SP 800-63, ISO/IEC 30107) · Five-Gate Validation Protocol™ · The Transliteration Variance Index · Privacy, fairness, and civil-liberties policy. Full index at /assurance/.

Offices: Washington, D.C. · Arlington, VA · London (planned) · Berlin (planned).

NAICS 541930 · SAM.gov UEI M2UDMUDFXGL9 · CAGE 1Z3A3 · Section 1557-ready · NIST AI RMF-aligned · ISO/IEC 27001 · GDPR / UK GDPR · FedRAMP-aligned · Worldwide service.

Capabilities · Trust Center · Privacy · Terms · Accessibility (WCAG 2.2 AA) · Modern Slavery Statement · Responsible AI Statement