Parties
This DPA is between Prilog Inc. ("Processor") and the customer ("Controller"). Prilog Inc. is located at 2261 Market Street STE 12675, San Francisco, CA 94114, United States.
// effective date — 12 June 2026
This DPA is between Prilog Inc. ("Processor") and the customer ("Controller"). Prilog Inc. is located at 2261 Market Street STE 12675, San Francisco, CA 94114, United States.
General: hello@prilog.ai
Support: support@prilog.ai
Privacy and legal: privacy@prilog.ai
Address: 2261 Market Street STE 12675, San Francisco, CA 94114, United States
This DPA applies to processing of personal data on behalf of the Controller when using Prilog.ai, including connected observability, repository, task-routing, chat, support, billing, and AI/model workflows.
The entity that determines the purposes and means of processing personal data.
Prilog Inc. processes personal data on behalf of the Controller as described in this DPA.
Personal data submitted to Prilog.ai through the service, integrations, support channels, billing workflows, or authorized AI/model workflows.
Provide AI remediation, observability correlation, root-cause summaries, suggested patches, test guidance, pull-request and ticket routing, notifications, billing, support, security, and engineering workflow automation.
For the term of the agreement and any retention period requested by the Controller, configured in the service, stated in an order form, or required by law.
Prilog-controlled service processing occurs in the European Union where available. Customer-enabled integrations, AI/model providers, support, and billing providers may process data in other regions as configured or instructed by the Controller.
Process personal data only on documented instructions from the Controller, including instructions provided through product settings, connected integrations, support requests, and order forms.
Ensure personnel are bound by confidentiality obligations and trained on data protection.
Assist the Controller with data subject requests, DPIAs, and regulatory inquiries.
Do not use Customer Data to train foundation models or shared model-training datasets. AI/model providers may process prompts, outputs, and context only to provide requested workflows where enabled.
Encryption in transit and at rest, role-based access controls, least privilege, secure authentication, secrets protection, and network controls for systems used to provide the service.
Logging, monitoring, vulnerability and dependency review, access review, incident response procedures, and secure development practices to protect data.
Backups and resilience practices appropriate to the service.
Core providers may include AWS or other cloud infrastructure, PostHog EU analytics, Intercom support messaging, ipapi.co locale lookup, Google Fonts/static delivery, Stripe billing and payment processing where paid billing is used, and SSO providers such as Google, Microsoft, and GitHub when selected.
OpenAI, Anthropic, and customer-configured or self-hosted Ollama-compatible endpoints may process prompts, outputs, and relevant context where the Controller enables AI remediation workflows.
Controller-enabled providers include observability, logging, tracing, error monitoring, cloud logging, archives, event streams, source control, code hosting, issue tracking, chat, notifications, and session-monitoring tools shown in the service or on the integrations page. Examples include Datadog, SigNoz, Grafana, New Relic, Sentry, Honeycomb, Splunk, Elastic, AWS, GCP, Azure, GitHub, GitLab, Bitbucket, Jira, Linear, Slack, Rollbar, Bugsnag, LogRocket, FullStory, Firebase Crashlytics, Instabug, and Embrace.
We will notify the Controller of material changes to subprocessors and provide an opportunity to object.
We will assist the Controller in responding to data subject requests to access, delete, or correct data.
If we receive a request directly, we will direct the data subject to the Controller.
We will notify the Controller without undue delay after becoming aware of a personal data breach.
Notifications will include available information on scope, impact, and mitigation steps.
Prilog-controlled service data is processed in the European Union where available. Transfers outside the EU may occur for customer-enabled integrations, AI/model providers, support, billing, or infrastructure providers based on the Controller's configuration or the provider's infrastructure.
Where international transfers are required, Processor will use appropriate safeguards such as adequacy decisions, Standard Contractual Clauses, or other lawful transfer mechanisms.
Upon termination, we will delete or return personal data as instructed, unless retention is required by law.
We will provide reasonable information to demonstrate compliance and accommodate audits with prior notice.
Controller employees, contractors, authorized users, support contacts, billing contacts, and end users whose data appears in logs, traces, tickets, alerts, repositories, code context, pull requests, support messages, or billing records.
Identifiers, contact details, account roles, authentication metadata, IP-derived locale data, log and trace metadata, error events, stack traces, repository metadata, code snippets, pull-request metadata, ticket and issue metadata, integration configuration, tokens, secrets, billing details, usage data, and support communications.
Collection, storage, retrieval, transmission, analysis, correlation, classification, remediation drafting, ticket and pull-request creation, notification delivery, support, billing, deletion, and export.
Role-based access controls, least privilege, secure authentication, personnel confidentiality obligations, periodic access review, and audit logging.
Encryption in transit and at rest, secure key management, secrets handling, network controls, backup controls, data deletion workflows, and separation between customer workspaces.
Backups, monitoring, and disaster recovery procedures.
Monitoring, incident response, vulnerability and dependency review, secure development practices, and logging appropriate to the service.