Strongest: User Control
75/100
Sentry gives users more direct privacy control than its other categories, especially around clear admin controls.
Sentry is an application monitoring platform, reviewed for Seer/AI debugging, service data, tracking, retention, sharing, and organization controls.
60
Mixed
60
Mixed
Sentry combines broad tracking with unusually strong privacy controls.
Sentry gives users more direct privacy control than its other categories, especially around clear admin controls.
Sentry is weakest on ads and tracking because behavioral signals can still travel through analytics or partner tools.
70
Mixed
Seer uses issue details, tracing data, logs, profiles, and code context to troubleshoot and suggest fixes.
There is no single universal switch that cleanly disables every AI-related surface across all Sentry contexts.
Sentry explicitly documents Seer and generative AI features instead of leaving them implicit.
Admins can govern project access, scrubbing, and some generative-AI-related settings.
Sentry separates Service Data from the general privacy policy in its broader trust materials.
55
Weak
Monitoring data can still flow through integrations, subprocessors, AI features, support, and organization members.
Legal disclosures and business transfers remain part of the ordinary SaaS privacy model.
Sentry separates Service Data from the general privacy policy and provides customer agreements for processing.
Admins can restrict access at the project and organization level.
Integrations are configurable rather than universally required.
35
Poor
Analytics and observability tools can collect identifiers, events, session replays, logs, traces, device data, and usage metadata.
Teams can reduce exposure with masking, consent mode, sampling, log scrubbing, retention controls, and restricted access.
60
Mixed
Sampled longer-term transaction and span storage, backups, and plan-specific telemetry windows still keep some data around.
Teams that fail to scrub sensitive telemetry before ingestion can still retain more than intended.
Sentry documents retention windows by data type and plan.
Users can bulk-delete issue events and permanently remove data related to a given tag.
When customers terminate subscriptions and delete organizations, event data becomes inaccessible quickly.
75
Good
Admins can manage project access, member permissions, retention, and scrubbing.
Sentry's security materials describe SSO, MFA, audit-friendly workflows, and identity-management options.
Generative AI feature settings can be reviewed rather than silently left on with no governance.
There is no single master switch for every Seer and AI-related path across all workflows.
Sensitive-data scrubbing still depends on customer implementation and disciplined SDK setup.
Sentry Privacy Page
Open: sentry.ioLatest Finding
Open: support.google.comAi In Sentry Seer
Open: docs.sentry.ioSecurity
Open: sentry.io1. AI Use
Seer uses issue details, tracing data, logs, profiles, and code context to troubleshoot and suggest fixes.
2. AI Use
There is no single universal switch that cleanly disables every AI-related surface across all Sentry contexts.
3. AI Use
Sentry explicitly documents Seer and generative AI features instead of leaving them implicit.
4. AI Use
Admins can govern project access, scrubbing, and some generative-AI-related settings.
5. Sentry Separates
Sentry separates Service Data from the general privacy policy in its broader trust materials.
Founded
Jan 2012
Founder
David Cramer and Chris Jennings
Parent Company
Sentry
Lifecycle
Active
Category
Developer Platforms & Infra
CEO
Milin Desai
Security Team
In house
Date Added
06-10-2026
