What Meridian scanned
continue — 1,874 files, 314,603 lines, across go, java, javascript, jsx, python, tsx, typescript.
This repository features a multi-language structure using Go, Java, JavaScript, JSX, Python, TypeScript, along with web frameworks including Express, FastAPI, Next.js, and React. It integrates AI via the OpenAI SDK, mainly destined for runtime in Dockerized environments, controlled via GitHub Actions and GitLab CI.
Architecture: Web application with AI integration
Technology Stack
Business Signals
Compliance Readiness
Every capability Meridian evaluated, grouped by what's actually true about it — implemented in code, fixable in code, or something only documentation or an operational process can demonstrate.
Implemented (4)
- Authentication
- Cross Border Transfer Controls
- Data Classification
- Data Lifecycle Management
Code Improvement Recommended (7)
- Access Control
- Audit Logging
- Consent Management
- Data Retention
- Encryption At Rest
- Encryption In Transit
- Key Management
Requires Documentation (15)
- Asset Inventory
- Backup And Recovery
- Business Impact Analysis
- Configuration Management
- Data Deletion
- Data Masking
- Data Protection Impact Assessment
- Data Subject Request Handling
- Grievance Redressal
- Incident Response Plan
- Information Security Policy
- Log Retention
- Policy Management
- Privacy Impact Assessment
- Records Of Processing
Requires Operational Evidence (23)
- AI Risk Assessment
- Access Review
- BCP And DR Testing
- Bias Detection
- Change Management
- Data Loss Prevention
- Data Quality Management
- Governance Framework
- Incident Detection
- Maker Checker
- Model Monitoring
- Model Testing
- Patch Management
- Penetration Testing
- Physical Access Control
- Privileged Access Management
- Regulatory Change Monitoring
- Regulatory Reporting
- SOC Operations
- Security Awareness Training
- Third Party Risk Assessment
- Vendor Contract Management
- Vulnerability Scanning
Compliance Scope
Determined from what Meridian found in the repository and the business signals above — not every one of the 17 supported frameworks, only the ones that actually apply.
Not Applicable (16)
+ 10 more in the full report.
What an enterprise security review would ask about first
Detected (1)
- Authentication
Recommended Improvements (6)
- Access Control
- Audit Logging
- Encryption At Rest
- Encryption In Transit
- Key Management
- Data Retention
Operational Requirements (6)
- Privileged Access Management
- BCP And DR Testing
- Penetration Testing
- Third Party Risk Assessment
- Vendor Contract Management
- Security Awareness Training
Documentation Required (2)
- Incident Response Plan
- Information Security Policy
What matters most
-
Access ControlCRITICAL
Can the organization (as a third-country provider) demonstrate that it has appointed an authorised representative in the Union and that the representative fulfils all required tasks?
-
Data Subject Request HandlingHIGH
Can the organization demonstrate that it has implemented appropriate data governance and management practices for training, validation, and testing data sets of high-risk AI systems?
-
Consent ManagementHIGH
Can the organization demonstrate that it has implemented appropriate safeguards when processing special categories of personal data for bias detection and correction?
-
Audit LoggingHIGH
Can the organization demonstrate that high-risk AI systems have logging capabilities for automatic event recording throughout their lifetime?
-
Privileged Access ManagementHIGH
Can the organization demonstrate that high-risk AI systems are designed for effective human oversight throughout their use?
Recommended actions, by effort
Quick Wins (1)
- Access Control
Medium Effort (15)
- Data Subject Request Handling
- Consent Management
- Audit Logging
- Privileged Access Management
- Backup And Recovery
- Data Retention
- Records Of Processing
- Maker Checker
- Model Testing
- Business Impact Analysis
- Data Lifecycle Management
- Grievance Redressal
- Policy Management
- Security Awareness Training
- Data Quality Management
Strategic Initiatives (7)
- AI Risk Assessment
- Bias Detection
- Data Loss Prevention
- Privacy Impact Assessment
- Data Protection Impact Assessment
- Physical Access Control
- Model Monitoring
Now, next, later
- Access Control
- Data Subject Request Handling
- Consent Management
- Audit Logging
- Privileged Access Management
- Backup And Recovery
- Data Retention
- Records Of Processing
- Maker Checker
- Model Testing
- Business Impact Analysis
- Data Lifecycle Management
- Grievance Redressal
- Policy Management
- Security Awareness Training
- Data Quality Management
- AI Risk Assessment
- Bias Detection
- Data Loss Prevention
- Privacy Impact Assessment
- Data Protection Impact Assessment
- Physical Access Control
- Model Monitoring