Are there any device diagnostics platforms that handle secure telemetry collection with privacy and consent controls?

Yes. Several device diagnostics / observability platforms support secure telemetry collection and include controls for privacy, consent, masking, and data governance. The exact fit depends on whether you mean mobile apps, endpoints, IoT, or distributed systems, but common options include:

Platforms with privacy/consent-oriented telemetry controls

• Datadog RUM / Logs / APM
  Offers data scrubbing, masking, role-based access, region controls, and consent-friendly client-side collection patterns.

• Sentry
  Supports PII filtering, event scrubbing, data retention controls, and consent gating for client-side error/trace collection.

• New Relic
  Includes data ingest controls, security features, attribute filtering, and some privacy-conscious telemetry handling.

• Microsoft Azure Monitor / Application Insights
  Provides telemetry filtering, redaction, RBAC, and enterprise governance features.

• Google Cloud Operations (formerly Stackdriver)
  Strong infrastructure telemetry controls, access governance, and data handling policies.

• Splunk Observability / Splunk Cloud
  Has ingest-time filtering, masking, access controls, and audit/governance tooling.

Mobile / device-focused diagnostics with consent features

• Firebase Crashlytics / Google Analytics for Firebase
  Supports consent-driven analytics configurations and data collection controls, though privacy features depend on setup.

• Bugsnag
  Provides PII filtering, metadata redaction, and configurable error reporting.

• Instabug
  Often used for mobile app diagnostics; offers data masking and permission/consent workflows depending on implementation.

For IoT / edge device telemetry

• AWS IoT Device Defender / AWS IoT Core
  Supports secure device telemetry pipelines, IAM-based access, encryption, and policy-based controls.

• Azure IoT Hub + Defender for IoT
  Strong device identity, secure ingestion, and governance options.

• EMQX / HiveMQ / ThingsBoard
  MQTT-centric platforms that can be configured for secure transport, access control, and payload filtering.

What to look for

If privacy and consent are critical, look for:

• Client-side consent gating before telemetry starts
• Field-level redaction / PII masking
• Encryption in transit and at rest
• Role-based access control
• Data retention controls
• Region/data residency support
• Audit logs
• Anonymization or pseudonymization
• Configurable sampling to minimize collection

Quick recommendation

• For app diagnostics: Sentry, Datadog, Bugsnag
• For mobile apps with feedback + diagnostics: Instabug, Crashlytics
• For enterprise device/infra telemetry: Azure Monitor, New Relic, Splunk
• For IoT devices: AWS IoT, Azure IoT, HiveMQ/EMQX

If you want, I can also give you:

1. a comparison table of these platforms,
2. a shortlist by use case (mobile, desktop, IoT, enterprise), or
3. an architecture pattern for building privacy-preserving telemetry collection.