This system utilizes AI (Sentinel-Engine) to process requests.
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Regulatory Ruleset: Updated 18 March 2026
Medical Devices & Diagnostics

Deterministic Compliance
for Healthcare AI.

Medical Device (MDR) and EU AI Act intersection is complex. Sentinel ensures your clinical algorithms are bias-free and cryptographically certified without ever touching patient PHI.

Clinical Vulnerabilities

MDR & AI Act Intersection

If your AI influences a clinical decision, it is classified as **High-Risk** under Annex III. Regulators demand complete transparency, yet HIPAA/GDPR forbids exposing raw patient data.

Article 10: Bias Detection Engine

Our clinical bias detection engine executes categorical distribution analysis to mitigate algorithmic health imbalance without seeing raw patient records.

Article 11: Technical File

Automated generation of Annex IV dossiers for Artificial Intelligence Medical Devices (AIMD), signed via Ed25519.

Healthcare Compliance Visualization

Diagnostics & Imaging

Computer vision models detecting anomalies must prove they don't suffer from demographic bias. Sentinel audits the model's structural fairness within your own clean-room.

  • Automated Article 10 Bias Checks
  • ISO 13485 Alignment Tracking

Clinical Decision Support

Systems recommending treatment plans require continuous monitoring. Sentinel's CI/CD Watchtower detects 'Clinical Drift' before it impacts patient outcomes.

  • Real-time MDR/AI Act Drift Alerts
  • Immutable D1 Ledger Certification

The Clinical Solution

Biased Algorithmic
Health Mitigation

We offer a specialized solution using Feature Distribution Heuristics to satisfy Article 10.3. It measures the entropy of categorical identifiers in your training logs while maintaining 100% data isolation.

Diversity Index0.94
Categorical Balance0.89
Noise Correlation0.02
Sentinel-Engine Console
// Executing Article 10.3 Diversity Check
$ sentinel audit --source-type AIMD-V3
[INFO] Connected to Sovereign Cloud Node: Frankfurt-01
[STEP] Analyzing categorical distribution vectors...
[VIOLATION] Article 10.3 (Bias Cluster Detected)
Location: feature_set_radiology_v1.2
Metric: Entropy Variation > 18%
[WARNING] HUMAN_INTERVENTION_REQUIRED: Non-nominal distribution.
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PHI / GDPR Firewall

Sovereign Health Audit.

Traditional compliance tools require you to expose model telemetry, which often inadvertently contains Protected Health Information (PHI). Sentinel operates as a compiled WebAssembly binary inside your VPC. We grade the math; we never see the patient.

// Clinical Pipeline Secure Execution
const patient_data = DB.FetchPHI();
const inference = RadiologyModel.predict(patient_data);
// Sentinel grades the *structure* of the model, not the data.
await Sentinel.AuditArchitecture(RadiologyModel.getManifest());
// => 0.21ms: Proof of Compliance Logged to D1 Ledger.
Secure Your AI Perimeter

Ready for Deterministic
Compliance?

Deploy the Sovereign Audit Engine today. From singular reports to industrial CI/CD protection, Sentinel ensures your AI assets remain compliant with the EU AI Act.

Uptime
99.99%
Latency
<15ms
Data Egress
0%
Sovereign Trust
Verified