0 of 265 applicable controls automatically verified
Deterministic, evidence-backed scan result
Meridian provides automated compliance assessments and recommendations, not legal advice. Final compliance determinations should be reviewed by qualified legal, compliance, or security professionals where required.
Meridian Compliance Report
chatwoot
Generated 23 July 2026, 05:07 UTC
Report 361850ab6b0e44655301faac
Meridian provides automated compliance assessments and recommendations, not legal advice. Final compliance determinations should be reviewed by qualified legal, compliance, or security professionals where required.
Executive Summary
Applicable Controls
265
Controls determined to apply to this repository
Implemented
0
Requires Documentation
104
Requires Operational Evidence
47
Code Improvement Recommended
114
Repository Overview
In ProductionTrue
Technology Stack
1055 files · 119446 lines
Languagesjavascript, typescript
FrameworksNext.js, Vue
CI/CD & IaCDocker, Docker Compose, GitHub Actions
Business Signals
Stores personal dataTrue
Uses AITrue
Primary jurisdictionUnited States
Processes paymentsFalse
Regulated financial entityFalse
Offers goods/services to the EUTrue
Monitors individuals in the EUFalse
Offers goods/services to IndiaFalse
AI roleProvider
AI output used in the EUTrue
High-risk AI use case indicatedFalse
General-purpose AI model providerFalse
What Meridian Understood
This repository is built using JavaScript and TypeScript, primarily leveraging frontend frameworks Next.js and Vue. It appears to be structured around web development and is deploying in containers using Docker and Docker Compose orchestrated by GitHub Actions.
Architecture: Web app
Compliance Scope
Applicable Regulations
GDPRPrivacy & Data ProtectionStatutory law
Your application stores or processes personal data of individuals in the European Union.
Required: matched on stores_personal_data, offers_goods_services_to_eu.
In force since May 2018; applies extraterritorially to organizations offering goods or services to, or monitoring, individuals in the EU.
EU AI ActAI Governance & Responsible AIStatutory law
Your repository deploys AI models or AI-powered systems.
Required: matched on ai_usage.
In force since August 2024 with phased application — prohibited practices first, general-purpose AI and high-risk obligations phasing in later; verify current phase-in dates.
AI risk context: role: Provider; output used in the EU: yes; high-risk use case indicated: no; general-purpose model provider: no
Your application is in production and handles customer data requiring independent assurance.
Optional: base condition met, but no additional signal beyond production.
A voluntary attestation framework (AICPA Trust Services Criteria) driven by customer and contractual demand, not law.
NIST AI RMFAI Governance & Responsible AIVoluntary attestation
Your application develops, deploys, or uses AI/ML systems.
Required: matched on ai_usage.
AI RMF 1.0 released January 2023 by NIST; a voluntary risk-management framework, not a binding regulation -- adopted for market trust and structured AI governance, not because it is legally required.
Not Applicable Regulations
DPDPA 2023Privacy & Data Protection
Excluded: none of 'primary_jurisdiction', 'offers_goods_services_to_india' match the conditions required for this framework.
DPDPA Rules, 2025Privacy & Data Protection
Excluded: none of 'primary_jurisdiction', 'offers_goods_services_to_india' match the conditions required for this framework.
RBI FREE-AI FrameworkAI Governance & Responsible AI
Excluded: 'regulated_financial_entity' does not match the condition required for this framework.
SEBI AI/ML GuidelinesAI Governance & Responsible AI
Excluded: 'regulated_financial_entity' does not match the condition required for this framework.
RBI Digital Payment Security ControlsPayments & Financial Security
Excluded: 'processes_payments' does not match the condition required for this framework.
PCI DSSPayments & Financial Security
Excluded: 'processes_payments' does not match the condition required for this framework.
RBI IT Governance & Risk ControlsCybersecurity & Operational Security
Excluded: 'regulated_financial_entity' does not match the condition required for this framework.
RBI NBFC IT FrameworkFinancial Sector Regulations
Excluded: 'regulated_financial_entity' does not match the condition required for this framework.
AI Risk AssessmentAccess ReviewBCP And DR TestingBias DetectionChange ManagementData Loss PreventionData Quality ManagementGovernance FrameworkIncident DetectionMaker CheckerModel MonitoringModel TestingPatch ManagementPenetration TestingPhysical Access ControlPrivileged Access ManagementRegulatory Change MonitoringRegulatory ReportingSOC OperationsSecurity Awareness TrainingThird Party Risk AssessmentVendor Contract ManagementVulnerability Scanning
Enterprise Readiness
Recommended Improvements
AuthenticationAccess ControlAudit LoggingEncryption At RestEncryption In TransitKey ManagementData Retention
Operational Requirements
Privileged Access ManagementBCP And DR TestingPenetration TestingThird Party Risk AssessmentVendor Contract ManagementSecurity Awareness Training
Documentation Required
Incident Response PlanInformation Security Policy
SOC 2 Scope
The subset of the capabilities above that SOC 2's own controls actually reach.
Recommended Improvements
AuthenticationAccess ControlAudit LoggingEncryption At RestEncryption In TransitKey ManagementData Retention
Operational Requirements
Privileged Access ManagementBCP And DR TestingPenetration TestingThird Party Risk AssessmentVendor Contract ManagementSecurity Awareness Training
Documentation Required
Incident Response Plan
Top Priorities
Encryption In Transit (CRITICAL) — Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Access Control (CRITICAL) — Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, HIPAA Security Rule, NIST AI RMF, SOC 2 Trust Services Criteria.
Encryption At Rest (CRITICAL) — Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Authentication (CRITICAL) — If the organization operates a healthcare clearinghouse within a larger entity, has it implemented policies isolating clearinghouse electronic protected health information from the rest of the organization?
Key Management (CRITICAL) — Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Full breakdown by effort below.
Recommended Actions
Quick Wins
Encryption In Transit (CRITICAL)
Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Access Control (CRITICAL)
Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, HIPAA Security Rule, NIST AI RMF, SOC 2 Trust Services Criteria.
Encryption At Rest (CRITICAL)
Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Authentication (CRITICAL)
If the organization operates a healthcare clearinghouse within a larger entity, has it implemented policies isolating clearinghouse electronic protected health information from the rest of the organization?
Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Privileged Access Management (HIGH)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Consent Management (HIGH)
Can the organization demonstrate that AI systems intended to interact with natural persons are designed to inform them they are interacting with an AI system?
Improves compliance posture for: EU AI Act, GDPR, SOC 2 Trust Services Criteria.
Data Subject Request Handling (HIGH)
Can the organization demonstrate that it has procedures to handle complaints regarding infringement of the AI Act?
Improves compliance posture for: EU AI Act, NIST AI RMF.
Audit Logging (HIGH)
Can the organization demonstrate that it has properly applied exceptions to breach communication to data subjects?
Has the organization conducted and documented a risk analysis assessing threats and vulnerabilities to the confidentiality, integrity, and availability of electronic protected health information?
Can the organization demonstrate that it implements policies and procedures to store inputs, items in processing, and outputs completely, accurately, and timely in accordance with system specifications?
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Model Testing (MEDIUM)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF.
Data Classification (MEDIUM)
Can the organization demonstrate that it does not create or expand facial recognition databases through untargeted scraping?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Records Of Processing (MEDIUM)
Can the organization (as a law enforcement authority) demonstrate that it notifies each use of real-time remote biometric identification to the relevant authorities and submits annual reports?
Improves compliance posture for: EU AI Act, GDPR, HIPAA Security Rule, NIST AI RMF, SOC 2 Trust Services Criteria.
Grievance Redressal (MEDIUM)
Can the organization demonstrate that it has procedures to handle complaints regarding infringement of the AI Act?
Improves compliance posture for: EU AI Act, NIST AI RMF.
Business Impact Analysis (MEDIUM)
Can the organization demonstrate that it has consulted the supervisory authority where DPIA indicated high risk?
Has the organization conducted and documented a risk analysis assessing threats and vulnerabilities to the confidentiality, integrity, and availability of electronic protected health information?
Has the organization conducted and documented a risk analysis assessing threats and vulnerabilities to the confidentiality, integrity, and availability of electronic protected health information?
Has the organization implemented documented policies and procedures reasonably designed to comply with the HIPAA Security Rule's standards and implementation specifications?
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Policy Management (LOW)
Can the organization (as a law enforcement authority) demonstrate that it notifies each use of real-time remote biometric identification to the relevant authorities and submits annual reports?
Improves compliance posture for: EU AI Act, GDPR, HIPAA Security Rule, NIST AI RMF, SOC 2 Trust Services Criteria.
Data Quality Management (INFORMATIONAL)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF.
Strategic Initiatives
AI Risk Assessment (HIGH)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF, SOC 2 Trust Services Criteria.
Bias Detection (HIGH)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF.
Data Protection Impact Assessment (HIGH)
Can the organization demonstrate that it has consulted the supervisory authority where DPIA indicated high risk?
Can the organization demonstrate: aI system security and resilience -- as identified in the map function -- are evaluated and documented.
Improves compliance posture for: NIST AI RMF.
Model Monitoring (MEDIUM)
Can the organization demonstrate that it has taken measures to ensure a sufficient level of AI literacy among staff and others involved in the operation and use of AI systems?
Improves compliance posture for: EU AI Act, GDPR, NIST AI RMF.
Compliance Roadmap
Now · Quick Wins
Encryption In Transit
Access Control
Encryption At Rest
Authentication
Patch Management
Vulnerability Scanning
Log Retention
Next · Medium Effort
Key Management
Privileged Access Management
Consent Management
Data Subject Request Handling
Audit Logging
Incident Response Plan
Backup And Recovery
Data Retention
Maker Checker
Model Testing
Data Classification
Records Of Processing
Grievance Redressal
Business Impact Analysis
Configuration Management
Asset Inventory
Data Lifecycle Management
Data Masking
Information Security Policy
Security Awareness Training
Policy Management
Data Quality Management
Later · Strategic Initiatives
AI Risk Assessment
Bias Detection
Data Protection Impact Assessment
Privacy Impact Assessment
Penetration Testing
Model Monitoring
Next Steps
Start with Top Priorities above, then work through the full Quick Wins/Medium Effort/Strategic Initiatives breakdown.
Technical Findings below show exactly where each gap was detected in your repository; export to PDF/HTML for a
shareable version, or JSON/SARIF to feed a CI pipeline.
Technical Findings (97)
Showing top 50 of 97, ranked by severity then confidence.
Export to JSON or SARIF for the complete list.
CriticalEU_AI_ART_5_001 — Prohibition of Subliminal Manipulative TechniquesCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_002 — Prohibition of Exploiting VulnerabilitiesCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_003 — Prohibition of Social ScoringCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_004 — Prohibition of Predictive Policing Risk Assessments Based Solely on ProfilingCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_005 — Prohibition of Untargeted Scraping for Facial Recognition DatabasesCode Improvement Recommended
Missing: Access Control, Data Classification, Encryption At Rest, Encryption In Transit, Key Management
CriticalEU_AI_ART_5_006 — Prohibition of Emotion Recognition in Workplace and EducationCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_007 — Prohibition of Biometric Categorisation for Sensitive CharacteristicsCode Improvement Recommended
Missing: Consent Management
CriticalEU_AI_ART_5_008 — Restrictions on Real-Time Remote Biometric Identification for Law EnforcementCode Improvement Recommended
Missing: Consent Management
CriticalGDPR_ART_10_001 — Processing of Criminal Convictions and OffencesCode Improvement Recommended
Missing: Access Control, Data Classification, Encryption At Rest, Encryption In Transit, Key Management
CriticalGDPR_ART_22_004 — Automated Decision-Making with Special Categories of DataCode Improvement Recommended
Missing: Access Control, Data Classification, Encryption At Rest, Encryption In Transit, Key Management
CriticalGDPR_ART_28_001 — Processor - Selection and GuaranteesCode Improvement Recommended
Missing: Access Control
CriticalGDPR_ART_35_001 — Data Protection Impact AssessmentCode Improvement Recommended
Missing: Access Control, Data Classification, Encryption At Rest, Encryption In Transit, Key Management
HighGDPR_ART_7_004 — Consent - Freely Given AssessmentCode Improvement Recommended
Missing: Consent Management
HighGDPR_ART_9_003 — Special Categories - Employment and Social Security LawCode Improvement Recommended
Missing: Access Control, Data Classification, Encryption At Rest, Encryption In Transit, Key Management
Control Mapping Appendix
Raw control-level mapping (control IDs, clause text) is intentionally not inlined here — export to JSON or SARIF for the complete, machine-readable control mapping.