🛡️ AYDA Security & Privacy Practices
Last Updated: August 9, 2025
🔒 Inference Safety
- Shell output suppression across all personas
- Strict persona boundary enforcement to prevent context bleed
- Fallback tagging for traceable logic and auditability
- Explainability protocols for enriched outputs
- Adversarial input detection and mitigation
🧼 Log Management
- Ephemeral session logs with optional analyst export
- Automatic deletion after 24 hours (configurable)
- Redaction of sensitive input/output using semantic filters
- No logging of PII unless explicitly enabled
- Audit trail for enrichment, fallback and persona switches
🧪 Sandbox Architecture
- Dockerized persona containers with isolated memory
- No persistent storage unless explicitly enabled
- Network isolation for high-risk personas
- Runtime validation of persona boundaries
- External API calls gated by allowlist and rate limits
📜 Responsible Use
- Terms aligned with forensic and predictive boundaries
- Simulation scope defined per deployment
- No real-time threat response unless certified
- “Simulation only” tags for analyst-facing personas
- User consent required for data retention/export
🧑⚖️ Regulatory Compliance
- GDPR & CCPA alignment: opt-in, deletion, minimization
- AI Act (EU) readiness: transparency, oversight, risk tiers
- SOC 2 & ISO 27001 compatibility for enterprise use
- Model retraining protocols for data deletion requests
- Privacy impact assessments for new personas
🧠 Governance & Ethics
- Cross-functional AI governance team
- Bias detection and suppression in predictive personas
- Transparent decision-making logs
- Incident response plan for misuse or hallucinations
- Public changelog for suppression and fallback updates