✅ 1. On-Prem or VPC Deployment

You can run Bugflows:

• Inside your private cloud (AWS/GCP/Azure)
• Behind your corporate firewall
• Even air-gapped on-premise setups

Your data never leaves your infrastructure.

✅ 2. Zero Data Storage Policy (for SaaS)

If you opt for our managed SaaS model, we:

• Never store raw bug data
• Only use ephemeral processing for predictions
• Support client-side encryption before any transmission

You get predictions — we never see your data.

✅ 3. Custom Model Training via Federated Learning

Bugflows supports federated training, meaning:

• Your data stays local
• We send model updates, not raw data
• The global model gets smarter without touching your files

🧩 This is the same privacy-preserving approach used by Apple, Google, and Meta.

✅ 4. Granular PII Redaction

Bugflows includes built-in redaction filters that scrub:

• Emails, usernames, tokens
• Stack traces
• Paths or file names
• Client IPs or domains

You can customize the redaction rules to meet SOC2, GDPR, ISO 27001, or internal policies.

✅ 5. Model Explainability & Control

Bugflows doesn't just give you black-box outputs.

You get:

• Prediction confidence scores
• Feature attribution reports (why a prediction was made)
• Full retrain controls — rollback, clone, compare versions

You’re always in the driver's seat.