Sync ID Tech Learning Center datasets

README.md

@@ -23,10 +23,10 @@ The canonical source remains the Learning Center itself. This mirror exists to m
 
 | Dataset | Records | Raw file | Canonical docs | API | Schema | Last updated |
 | --- | ---: | --- | --- | --- | --- | --- |
-| vendors | 43 | [JSONL](https://learn.idtechwire.com/datasets/vendors.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/vendors) | [API](https://learn.idtechwire.com/api/vendors) | [Schema](https://learn.idtechwire.com/datasets/schemas/vendors.schema.json) | 2026-03-18 |
-| technologies | 30 | [JSONL](https://learn.idtechwire.com/datasets/technologies.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/technologies) | [API](https://learn.idtechwire.com/api/technologies) | [Schema](https://learn.idtechwire.com/datasets/schemas/technologies.schema.json) | 2026-03-31 |
-| glossary | 23 | [JSONL](https://learn.idtechwire.com/datasets/glossary.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/glossary) | [API](https://learn.idtechwire.com/api/glossary) | [Schema](https://learn.idtechwire.com/datasets/schemas/glossary.schema.json) | 2025-11-10 |
-| cards | 109 | [JSONL](https://learn.idtechwire.com/datasets/cards.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/cards) | [API](https://learn.idtechwire.com/api/cards) | [Schema](https://learn.idtechwire.com/datasets/schemas/cards.schema.json) | 2026-03-31 |
+| vendors | 43 | [JSONL](https://learn.idtechwire.com/datasets/vendors.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/vendors) | [API](https://learn.idtechwire.com/api/vendors) | [Schema](https://learn.idtechwire.com/datasets/schemas/vendors.schema.json) | 2026-07-16 |
+| technologies | 30 | [JSONL](https://learn.idtechwire.com/datasets/technologies.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/technologies) | [API](https://learn.idtechwire.com/api/technologies) | [Schema](https://learn.idtechwire.com/datasets/schemas/technologies.schema.json) | 2026-07-16 |
+| glossary | 29 | [JSONL](https://learn.idtechwire.com/datasets/glossary.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/glossary) | [API](https://learn.idtechwire.com/api/glossary) | [Schema](https://learn.idtechwire.com/datasets/schemas/glossary.schema.json) | 2026-06-24 |
+| cards | 148 | [JSONL](https://learn.idtechwire.com/datasets/cards.jsonl) | [Docs](https://learn.idtechwire.com/for-ai/datasets/cards) | [API](https://learn.idtechwire.com/api/cards) | [Schema](https://learn.idtechwire.com/datasets/schemas/cards.schema.json) | 2026-07-16 |
 
 ## Repository contents
 
@@ -49,7 +49,7 @@ The canonical source remains the Learning Center itself. This mirror exists to m
 
 Each record includes provenance in an `_meta` block with dataset name, schema version, source path, canonical path, API path, and license.
 
-This mirror was generated from catalog version **2.0.0** and schema version **1.0.0**. The source manifest timestamp is **2026-03-31T15:12:40.478Z**.
+This mirror was generated from catalog version **2.0.0** and schema version **1.0.0**. The source manifest timestamp is **2026-07-16T19:47:46.435Z**.
 
 ## License
 

dataset-manifest.json

@@ -1,12 +1,12 @@
 {
   "version": "2.0.0",
   "schemaVersion": "1.0.0",
-  "lastUpdated": "2026-03-31T15:12:40.478Z",
+  "lastUpdated": "2026-07-16T19:47:46.435Z",
   "datasets": {
     "vendors": {
       "name": "vendors",
       "entries": 43,
-      "lastUpdated": "2026-03-18T00:00:00Z",
+      "lastUpdated": "2026-07-16T00:00:00Z",
       "format": "jsonl",
       "license": "https://creativecommons.org/licenses/by/4.0/",
       "datasetPath": "/datasets/vendors.jsonl",
@@ -17,7 +17,7 @@
     "technologies": {
       "name": "technologies",
       "entries": 30,
-      "lastUpdated": "2026-03-31T15:12:40.478Z",
+      "lastUpdated": "2026-07-16T19:47:46.435Z",
       "format": "jsonl",
       "license": "https://creativecommons.org/licenses/by/4.0/",
       "datasetPath": "/datasets/technologies.jsonl",
@@ -27,8 +27,8 @@
     },
     "glossary": {
       "name": "glossary",
-      "entries": 23,
-      "lastUpdated": "2025-11-10T00:00:00.000Z",
+      "entries": 29,
+      "lastUpdated": "2026-06-24T00:00:00.000Z",
       "format": "jsonl",
       "license": "https://creativecommons.org/licenses/by/4.0/",
       "datasetPath": "/datasets/glossary.jsonl",
@@ -38,8 +38,8 @@
     },
     "cards": {
       "name": "cards",
-      "entries": 109,
-      "lastUpdated": "2026-03-31T15:12:40.476Z",
+      "entries": 148,
+      "lastUpdated": "2026-07-16T19:47:46.433Z",
       "format": "jsonl",
       "license": "https://creativecommons.org/licenses/by/4.0/",
       "datasetPath": "/datasets/cards.jsonl",

glossary.jsonl

@@ -1,4 +1,5 @@
 {"slug":"abistemplate","title":"Automated Biometric Identification System (ABIS)","definition":"System for large-scale biometric matching and identification using algorithms and databases.","related":["matching"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is an Automated Biometric Identification System (ABIS)?","answer":"An ABIS is a system that automates large-scale biometric matching and identification using algorithms and centralized databases."},{"question":"How does ABIS improve biometric matching?","answer":"ABIS leverages advanced algorithms to process and compare biometric data at scale, reducing manual verification and improving throughput."},{"question":"What are common applications of ABIS?","answer":"Typical use cases include criminal investigations, border security, and large-scale identity verification in government programs."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/abistemplate.md","canonicalPath":"/glossary/abistemplate","apiPath":"/api/glossary/abistemplate"}}
+{"slug":"ai-agent-identity","title":"AI Agent Identity","definition":"Identity, authentication, and authorization controls used to govern AI agents or AI-enabled accounts that can act on behalf of people, organizations, or systems.","related":["digital-id","multi-factor-authentication","passkeys-webauthn"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"Why do AI agents need identity controls?","answer":"AI agents may access data, execute tasks, or make decisions, so systems need to know which user or organization authorized the agent and what it is allowed to do."},{"question":"How does biometric access relate to AI agents?","answer":"Biometric or strong local authentication can be used to authorize sensitive agent actions, especially when the agent is operating on a user's device or enterprise endpoint."},{"question":"Is AI agent identity the same as human identity proofing?","answer":"No. Human identity proofing establishes who the person is; AI agent identity controls establish the agent, its authority, its session, and its allowed actions."}],"references":[{"label":"ID Tech: Microsoft Project Solara biometric access for AI agents","url":"https://idtechwire.com/microsoft-unveils-project-solara-for-agent-first-devices-with-biometric-access/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/ai-agent-identity.md","canonicalPath":"/glossary/ai-agent-identity","apiPath":"/api/glossary/ai-agent-identity"}}
 {"slug":"consent","title":"Consent","definition":"Voluntary agreement by a person for their personal data to be used for specific purposes.","related":["gdpr"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What does consent mean in data privacy?","answer":"Consent is a person’s voluntary and informed agreement for their personal data to be collected, processed, and used for specific purposes."},{"question":"Why is consent important for biometric data?","answer":"Biometric data is sensitive; obtaining consent ensures compliance with privacy laws and respect for individual autonomy."},{"question":"How can organizations obtain valid consent?","answer":"Valid consent requires clear information, unambiguous opt-in mechanisms, and allows individuals to withdraw consent at any time."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/consent.md","canonicalPath":"/glossary/consent","apiPath":"/api/glossary/consent"}}
 {"slug":"deep-learning","title":"Deep Learning","definition":"Subset of machine learning using neural networks with multiple layers to model complex data representations.","related":["facial-recognition"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is deep learning?","answer":"Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns and representations."},{"question":"How is deep learning used in biometric systems?","answer":"Techniques like convolutional neural networks (CNNs) extract high-dimensional features from biometric data (e.g., face, fingerprint) to improve recognition accuracy."},{"question":"Why is deep learning important for biometric matching?","answer":"Deep learning models automatically learn discriminative features, reducing manual feature engineering and enhancing performance across varied conditions."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/deep-learning.md","canonicalPath":"/glossary/deep-learning","apiPath":"/api/glossary/deep-learning"}}
 {"title":"Equal Error Rate (EER)","slug":"eer","definition":"A single operating point where the false match rate equals the false non‑match rate. Lower EER generally indicates better discriminative performance for a matcher on a given dataset.","related":["facial-recognition","fingerprint-recognition","iris-recognition","multimodal-biometrics"],"createdAt":"2025-11-10T00:00:00.000Z","updatedAt":"2025-11-10T00:00:00.000Z","license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/eer.md","canonicalPath":"/glossary/eer","apiPath":"/api/glossary/eer"}}
@@ -10,12 +11,17 @@
 {"slug":"gdpr","title":"General Data Protection Regulation (GDPR)","definition":"EU regulation enforcing data protection and privacy for individuals within the European Union.","related":["privacy"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is the GDPR?","answer":"The General Data Protection Regulation (GDPR) is an EU regulation that governs the collection, processing, and protection of personal data for individuals within the European Union."},{"question":"How does GDPR treat biometric data?","answer":"Under GDPR, biometric data is classified as sensitive personal data, requiring explicit consent, strict security measures, and legal justification for processing."},{"question":"What rights do individuals have under GDPR?","answer":"GDPR grants rights such as access, rectification, erasure, data portability, and the right to object to processing of personal data."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/gdpr.md","canonicalPath":"/glossary/gdpr","apiPath":"/api/glossary/gdpr"}}
 {"title":"Identification vs Verification","slug":"identification-vs-verification","definition":"Identification answers ‘who is this?’ via 1:N search against a gallery. Verification answers ‘is this person who they claim?’ via 1:1 comparison between a probe and a claimed identity’s reference.","related":["abis-dedup","facial-recognition","fingerprint-recognition","passkeys-webauthn"],"createdAt":"2025-11-10T00:00:00.000Z","updatedAt":"2025-11-10T00:00:00.000Z","license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/identification-vs-verification.md","canonicalPath":"/glossary/identification-vs-verification","apiPath":"/api/glossary/identification-vs-verification"}}
 {"slug":"identity-proofing","title":"Identity Proofing","definition":"Process of verifying that a person is who they claim to be, often using ID documents and biometric checks.","related":["digital-identity"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is identity proofing?","answer":"Identity proofing is the process of verifying that a person is who they claim to be, often using documents, biometric checks, and trusted data sources."},{"question":"Why is identity proofing essential for digital services?","answer":"It prevents identity fraud by ensuring only legitimate users can enroll and access services, supporting security and regulatory compliance."},{"question":"Which methods are used for identity proofing?","answer":"Common methods include document verification, facial recognition with liveness detection, and database checks against authoritative records."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/identity-proofing.md","canonicalPath":"/glossary/identity-proofing","apiPath":"/api/glossary/identity-proofing"}}
+{"slug":"kyc-aml","title":"KYC / AML","definition":"Know Your Customer and Anti-Money Laundering controls used by regulated organizations to verify customers, monitor risk, and prevent financial crime.","related":["identity-proofing","digital-id","document-verification-nfc"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"What does KYC verify?","answer":"KYC checks a customer's identity and risk attributes, often through document verification, biometric selfie checks, sanctions screening, and database checks."},{"question":"How does AML relate to KYC?","answer":"AML programs use KYC data plus transaction monitoring and screening to detect and prevent money laundering and related financial crime."},{"question":"Why is KYC important for stablecoin and payment platforms?","answer":"Payment and digital-asset platforms often need identity verification, sanctions controls, and ongoing monitoring to satisfy regulatory and banking requirements."}],"references":[{"label":"ID Tech: Sumsub and Reap stablecoin payment compliance","url":"https://idtechwire.com/sumsub-partners-with-reap-to-power-compliance-for-stablecoin-payments-onboarding/"},{"label":"ID Tech: Sumsub and iMind South Korea payment compliance","url":"https://idtechwire.com/id-tech-digest-june-2-2026/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/kyc-aml.md","canonicalPath":"/glossary/kyc-aml","apiPath":"/api/glossary/kyc-aml"}}
+{"slug":"live-facial-recognition","title":"Live Facial Recognition","definition":"Real-time facial recognition that compares faces captured from live camera feeds against a watchlist or enrolled gallery.","related":["facial-recognition","identification-vs-verification","privacy"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"How is live facial recognition different from retrospective face search?","answer":"Live facial recognition runs against real-time camera feeds, while retrospective search analyzes previously captured images or video."},{"question":"Why is live facial recognition controversial?","answer":"It can identify people in public spaces, so governance concerns include legal authority, proportionality, watchlist accuracy, retention, oversight, and redress."},{"question":"Is live facial recognition always identification?","answer":"Most public-space live deployments are 1:N identification because they compare unknown faces against a gallery or watchlist."}],"references":[{"label":"ID Tech: Met Police static live facial recognition","url":"https://idtechwire.com/met-police-to-expand-static-live-facial-recognition-across-londons-west-end/"},{"label":"ID Tech: Kenya national-ID-linked CCTV proposal","url":"https://idtechwire.com/kenya-plans-to-link-cctv-cameras-with-national-id-records-for-facial-recognition/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/live-facial-recognition.md","canonicalPath":"/glossary/live-facial-recognition","apiPath":"/api/glossary/live-facial-recognition"}}
 {"slug":"matching","title":"Biometric Matching","definition":"Comparing a biometric sample against stored templates to verify or identify an individual.","related":["abistemplate","template"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is biometric matching?","answer":"Biometric matching compares a captured biometric sample against stored templates to verify or identify an individual based on similarity scores."},{"question":"What are verification and identification in biometric matching?","answer":"Verification (1:1) confirms a claimed identity, while identification (1:N) searches a database to find a matching identity without a prior claim."},{"question":"What factors influence matching accuracy?","answer":"Accuracy depends on sample quality, sensor reliability, algorithm robustness, environmental conditions, and threshold settings."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/matching.md","canonicalPath":"/glossary/matching","apiPath":"/api/glossary/matching"}}
+{"slug":"mobile-drivers-license","title":"Mobile Driver's License (mDL)","definition":"A digital driver's license stored in a mobile wallet or app, commonly implemented using ISO/IEC 18013-5 for credential presentation and verification.","related":["mobile-id","digital-id","document-verification-nfc"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"How does an mDL differ from a scanned driver's license?","answer":"An mDL is a cryptographically verifiable credential, while a scan or photo is only an image of a document and requires separate authenticity checks."},{"question":"What standard is commonly associated with mDLs?","answer":"ISO/IEC 18013-5 defines mobile driver's license presentation and verification methods."},{"question":"Why do platforms use mDLs?","answer":"Platforms can request specific attributes, such as age or license status, without necessarily collecting the full document image."}],"references":[{"label":"ISO/IEC 18013-5","url":"https://www.iso.org/standard/69084.html"},{"label":"ID Tech: Uber scales Apple's Verify with Wallet","url":"https://idtechwire.com/uber-scales-apples-verify-with-wallet-across-its-identity-verification-platform/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/mobile-drivers-license.md","canonicalPath":"/glossary/mobile-drivers-license","apiPath":"/api/glossary/mobile-drivers-license"}}
 {"slug":"multi-factor-authentication","title":"Multi-Factor Authentication (MFA)","definition":"Authentication method requiring two or more verification factors, such as something you know and something you are.","related":["u2f","fido"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is multi-factor authentication (MFA)?","answer":"MFA is an authentication method requiring two or more verification factors, such as something you know (password), something you have (token), and something you are (biometric)."},{"question":"How does MFA improve security?","answer":"By combining independent factors, MFA reduces the risk of unauthorized access if one factor is compromised, strengthening overall protection."},{"question":"What are common MFA examples?","answer":"Examples include password plus SMS OTP, hardware tokens with PIN, smartphone push notifications, and biometric factors like fingerprint or face recognition."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/multi-factor-authentication.md","canonicalPath":"/glossary/multi-factor-authentication","apiPath":"/api/glossary/multi-factor-authentication"}}
 {"slug":"nist-frvt","title":"NIST Face Recognition Vendor Test (FRVT)","definition":"A series of evaluations by NIST to benchmark face recognition algorithms under controlled and uncontrolled conditions.","related":["facial-recognition"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is NIST FRVT?","answer":"The NIST Face Recognition Vendor Test (FRVT) is a benchmarking program evaluating face recognition algorithm performance under various conditions."},{"question":"How does NIST FRVT assess face recognition?","answer":"FRVT measures accuracy, speed, and interoperability by testing algorithms on standard datasets and reporting metrics like false match and non-match rates."},{"question":"Why are NIST FRVT results important?","answer":"Unbiased FRVT results guide organizations in selecting reliable face recognition solutions by providing standardized performance benchmarks."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/nist-frvt.md","canonicalPath":"/glossary/nist-frvt","apiPath":"/api/glossary/nist-frvt"}}
 {"title":"On‑Device vs Server‑Side Matching","slug":"on-device-vs-server-matching","definition":"Design choice where biometric matching happens locally on a user’s device (with templates kept device‑bound) versus centrally on a server. On‑device improves privacy and reduces breach scope; server‑side can enable centralized management and large‑scale search (1:N).","related":["passkeys-webauthn","facial-recognition","digital-id"],"createdAt":"2025-11-10T00:00:00.000Z","updatedAt":"2025-11-10T00:00:00.000Z","license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/on-device-vs-server-matching.md","canonicalPath":"/glossary/on-device-vs-server-matching","apiPath":"/api/glossary/on-device-vs-server-matching"}}
 {"slug":"pad","title":"Presentation Attack Detection (PAD)","definition":"PAD refers to techniques used to detect artefacts (masks, photos, deepfakes) intended to spoof biometric systems.","related":["facial-recognition","fingerprint-recognition","voice-recognition","iris-recognition"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is Presentation Attack Detection (PAD)?","answer":"PAD refers to techniques used to detect and prevent spoofing attacks by verifying that a biometric sample originates from a live human rather than artificial artefacts."},{"question":"Why is PAD critical for biometric systems?","answer":"PAD ensures security by preventing attackers from using masks, photos, or deepfake videos to spoof biometric authentication."},{"question":"What methods are used for PAD?","answer":"Common methods include texture analysis, motion/liveness detection, infrared imaging for vein patterns, and challenge-response protocols."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/pad.md","canonicalPath":"/glossary/pad","apiPath":"/api/glossary/pad"}}
 {"slug":"privacy","title":"Privacy","definition":"The right of individuals to control the collection, use, and disclosure of their personal data.","related":["gdpr"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What does privacy mean in biometrics?","answer":"Privacy in biometrics refers to individuals’ rights to control how their biometric data is collected, processed, stored, and shared."},{"question":"How do privacy regulations protect biometric data?","answer":"Regulations like GDPR and CCPA enforce data minimization, consent requirements, and security controls for handling biometric information."},{"question":"What are best practices for ensuring biometric privacy?","answer":"Best practices include encryption of data at rest and in transit, anonymization, strict access controls, transparent policies, and user consent."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/privacy.md","canonicalPath":"/glossary/privacy","apiPath":"/api/glossary/privacy"}}
+{"slug":"proof-of-life","title":"Proof of Life","definition":"A verification process used to confirm that a person is alive and present, often for pensions, benefits, account recovery, or high-risk authentication.","related":["facial-recognition","pad","identity-proofing"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"Why do pension programs use proof-of-life checks?","answer":"They help prevent payments to deceased or ineligible recipients while reducing the need for in-person visits."},{"question":"How are biometric proof-of-life checks performed?","answer":"A user may submit a selfie or short video, which is checked for face match and liveness before the program records the verification."},{"question":"What are the main risks?","answer":"Risks include false rejection, poor accessibility, weak liveness detection, fraud by proxy, and exclusion of users without suitable devices."}],"references":[{"label":"ID Tech: Pakistan facial recognition app for pensioners","url":"https://idtechwire.com/pakistan-rolls-out-at-home-facial-recognition-for-pensioner-proof-of-life-checks/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/proof-of-life.md","canonicalPath":"/glossary/proof-of-life","apiPath":"/api/glossary/proof-of-life"}}
+{"slug":"reusable-digital-identity","title":"Reusable Digital Identity","definition":"An identity model in which a verified user, credential, or attribute can be reused across multiple services instead of repeating a full identity check each time.","related":["digital-id","verifiable-credentials","mobile-id"],"createdAt":"2026-06-24T00:00:00.000Z","updatedAt":"2026-06-24T00:00:00.000Z","faq":[{"question":"How is reusable digital identity different from one-time verification?","answer":"One-time verification proves identity for a single service event; reusable identity lets the user present a previously verified identity or attribute to other services."},{"question":"What technologies support reusable identity?","answer":"Mobile wallets, verifiable credentials, reusable KYC platforms, identity provider networks, and trust frameworks can all support reusable identity."},{"question":"What are the benefits and risks?","answer":"Benefits include less friction and fewer repeated document checks. Risks include over-collection, correlation across services, governance failures, and weak revocation."}],"references":[{"label":"ID Tech: Uber scales Apple's Verify with Wallet","url":"https://idtechwire.com/uber-scales-apples-verify-with-wallet-across-its-identity-verification-platform/"},{"label":"ID Tech: Bhutan NDI-based digital consent","url":"https://idtechwire.com/bhutan-adds-ndi-based-digital-consent-to-land-transactions/"}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/reusable-digital-identity.md","canonicalPath":"/glossary/reusable-digital-identity","apiPath":"/api/glossary/reusable-digital-identity"}}
 {"title":"ROC and DET Curves","slug":"roc-det","definition":"Receiver Operating Characteristic (ROC) and Detection Error Tradeoff (DET) curves visualize biometric performance across thresholds. ROC plots true accept vs false accept; DET plots false reject vs false accept on normal deviate scales for readability.","related":["fmr-fnmr","facial-recognition","fingerprint-recognition","iris-recognition"],"createdAt":"2025-11-10T00:00:00.000Z","updatedAt":"2025-11-10T00:00:00.000Z","license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/roc-det.md","canonicalPath":"/glossary/roc-det","apiPath":"/api/glossary/roc-det"}}
 {"slug":"spoofing","title":"Biometric Spoofing","definition":"Attempt to deceive a biometric system by presenting artificial traits like masks or fake fingerprints.","related":["pad"],"createdAt":"2025-05-07T00:00:00.000Z","updatedAt":"2025-05-07T00:00:00.000Z","faq":[{"question":"What is biometric spoofing?","answer":"Biometric spoofing is the act of deceiving a biometric system by presenting fake traits like silicone fingerprints, printed face images, or masks."},{"question":"How do systems detect spoofing attacks?","answer":"Detection uses PAD techniques, liveness detection algorithms, multi-modal biometrics, and machine learning classifiers to identify artefacts."},{"question":"What are the security risks of biometric spoofing?","answer":"Successful spoofing can grant unauthorized access, compromise security, and undermine trust in biometric authentication solutions."}],"license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/spoofing.md","canonicalPath":"/glossary/spoofing","apiPath":"/api/glossary/spoofing"}}
 {"title":"Template Inversion","slug":"template-inversion","definition":"An attack that attempts to reconstruct a biometric sample (e.g., a face image or fingerprint) from its stored template or embedding. Strong template protection schemes aim to make inversion computationally infeasible or yield unusable reconstructions.","related":["template-protection","facial-recognition","fingerprint-recognition"],"createdAt":"2025-11-10T00:00:00.000Z","updatedAt":"2025-11-10T00:00:00.000Z","license":"CC-BY-4.0","_meta":{"dataset":"glossary","schemaVersion":"1.0.0","license":"CC-BY-4.0","sourceType":"markdown","sourcePath":"content/glossary/template-inversion.md","canonicalPath":"/glossary/template-inversion","apiPath":"/api/glossary/template-inversion"}}