For Security & Compliance Practitioners

Measurably reliable identities are
the new foundation of trust

Fraudulent, stolen, and synthetic identities cost enterprises billions. IDQA — Identity Quality Assurance — gives you a measurable, composable score for identity reliability. Stop relying on guesswork.

IDQA metric bars showing measurable identity reliability scores across eight dimensions

The cost of uncertainty

Identity fraud is not slowing down

Every day, organizations rely on identity claims they cannot verify. The result is exposure, loss, and erosion of trust.

52%

of enterprises experienced identity fraud in the past 12 months — synthetic identities are the fastest-growing vector.

$4.6B

lost globally to identity-related fraud in the last reporting year across banking, healthcare, and government.

2 in 3

compliance officers say they lack a reliable metric to assess the trustworthiness of a digital identity.

70%

of organizations still rely on manual review processes that cannot scale with modern attack velocity.

What is measurable reliability?

From uncertain claims to
a composable trust score

Digital identities can never be 100% reliable — the human element carries inherent uncertainty. But we can now measure reliability with precision. IDQA gives you a confidence score that anyone depending on a digital identity can use.

“Measurable reliability means that anyone who is depending upon your digital identity can see a score that measures the reliability of that identity. It’s not about personal character — it’s about the confidence level that a digital identity represents the real person.”

— Authenticity Institute

The IDQA framework

Eight metrics that define identity reliability

IDQA is a composite score built from eight dimensions, each measuring a distinct aspect of identity trustworthiness.

IDQA score composite bars showing eight reliability metrics

Sample IDQA composite — each bar represents one metric dimension.

01
Identity Evidence Strength of documentary and biometric proof
02
Corroboration Network Cross-verification from independent sources
03
Liability Assumption Willingness of issuers to stand behind the claim
04
Track Record History of identity use and consistency over time
05
Biometric Confidence Live-ness detection and biometric match strength
06
Document Authenticity Cryptographic and forensic verification of credentials
07
Behavioral Consistency Pattern alignment with known identity behavior
08
Credential Freshness Recency of verification and credential rotation

How IDQA is calculated

A transparent, composable score

Each of the eight metrics contributes to the overall IDQA score through a weighted model that reflects the specific risk profile of your use case.

Authenticity definition diagram showing the relationship between identity evidence, corroboration, liability, and track record
1

Collect evidence

Gather identity documentation, biometrics, and corroborating signals from trusted sources.

2

Score each dimension

Each of the eight metrics is scored independently using a standardized 0–100 scale.

3

Apply weight model

Configure weights based on your industry, regulation, and risk appetite.

4

Get IDQA score

A single composite score that makes identity reliability measurable and actionable.

Why it matters

Enterprise outcomes from measurable identity

IDQA transforms identity from a binary pass/fail into a strategic risk lever for security and compliance teams.

Reduce fraud losses

Flag synthetic and stolen identities before they cause damage by using IDQA thresholds that match your risk appetite.

Accelerate onboarding

Automate identity review decisions based on composite score — no more manual back-and-forth for low-risk claims.

Demonstrate compliance

Provide auditors with a transparent, measurable framework for identity assurance across KYC, AML, and GDPR programs.

Scale with confidence

Deploy consistent identity reliability standards across customer, partner, and workforce populations.

Unify risk signals

Replace siloed identity checks with a single composable metric that integrates into existing risk engines.

Build digital trust

Signal to partners and customers that your identity infrastructure is based on measurable, auditable reliability.

Enterprises deploying measurably reliable identities across sectors

Common questions

Objections and clarifications

Is IDQA a product or a standard?

IDQA is a measurement framework developed by the Authenticity Institute. It can be implemented by any organization that needs a composable, transparent identity reliability score. The framework is open and auditable.

Does this replace my existing KYC or AML checks?

No. IDQA complements existing programs by providing a unified, measurable reliability score that incorporates signals from multiple sources, including your existing identity verification stack.

How is privacy protected in the IDQA framework?

The IDQA score is derived from evidence and signals — it does not require storing raw identity documents or biometric templates. The framework is designed with data minimization and user consent at its core.

What level of reliability can IDQA guarantee?

No system can guarantee 100% reliability because of the inherent uncertainty in human identity claims. IDQA provides a transparent, measurable confidence score — enabling informed decisions rather than false certainty.

How do I start using IDQA in my organization?

Begin by reviewing the eight metrics, assessing which identity evidence sources you already have, and contacting the Authenticity Alliance for implementation guidance and integration support.

Start the conversation

Ready to make identity reliability measurable?

Join the enterprises of the Authenticity Alliance that are already putting IDQA to work. Get the full IDQA framework brief and implementation guide.

Get the IDQA brief Contact the Alliance →

No commitment required. The brief includes full metric definitions, sample scorecards, and integration patterns.