What is AI SRE?
AI SRE is an AI-powered incident response assistant that helps support engineers, production engineers, on-call engineers, application engineers, and SREs investigate and resolve production incidents faster.How do I start an investigation?
Ask questions about incidents in natural language in the web UI or Slack. AI SRE gathers evidence from your tools, correlates data, and provides evidence-based insights with confidence levels.What do I need to get started?
- GitHub integration (required)
- Access to the AI SRE web application
- (Optional) Other connectors based on your stack
How do I enable additional connectors?
Additional connectors are available as beta features. You can request access to connectors based on your stack from the connectors screen in the web UI.What types of incidents can AI SRE help with?
AI SRE helps investigate production incidents including service failures, performance degradation, errors, and outages. It correlates code changes, queries telemetry data, and builds evidence chains to identify root causes.What if AI SRE can’t find the root cause?
AI SRE provides confidence levels with all findings. If confidence is low or no root cause is identified, it will indicate what data is missing or what additional investigation might help. You can refine your questions or connect additional data sources to improve results.How do I share investigation results?
Investigation results can be shared directly from the web UI or through Slack. Findings include evidence chains, confidence levels, and suggested actions that can be shared with your team.Can it make changes to my systems?
No. AI SRE is investigative only. It provides analysis and recommendations, but you make decisions and implement fixes.Is my data secure?
Yes. AI SRE uses enterprise-grade security with tenant isolation, encryption in transit and at rest, and read-only integrations. Your data is isolated per company and never used for AI model training.Security & Privacy
Data isolation
Your data is isolated per company with dedicated storage and access controls. AI agent sandboxes are fully isolated per tenant.Access controls
- Read-only integrations — All integrations are configured without write permissions
- Least-privilege access — Permissions are scoped to the minimum required
- Secure credential storage — API keys are stored securely with tenant-specific isolation
Data retention
Data retention is 14 days by default, but this is configurable.Source code protection
Source code is analyzed in real-time with no persistent storage. Only small code snippets from investigations are saved, and access is controlled via customer-managed OAuth tokens.AI model training
Your data is not used for AI model training. AI providers have zero data retention and do not train on customer inputs beyond processing API requests.Data protections
AI SRE uses industry-standard data protection practices including zero-retention contractual terms, Data Processing Agreements (DPAs), and prompt sanitization.How do I update my GitHub repository selection?
Go to Connectors → GitHub in the web UI to view connected repositories. To update, modify repository access in your GitHub App settings, and changes will sync automatically.Why isn’t my connector working?
Check that:- The connector is properly authenticated
- You have the required permissions
- The connector is enabled in the connectors screen