Features
Automated monitoring of production logs, metrics, and data
Anomaly detection for silent data correctness issues (table monitoring, SDK metrics)
Alert de-noising and false positive filtering via sub-agents
Root-cause analysis with documented investigation steps and citations
AI-suggested code fixes and PR creation
Persistent organization memory that learns from past issues and human feedback
PII masking for sensitive data (email, API keys, credit cards, etc.)
MCP server for connecting AI agents (remote or local)
CLI with machine-readable --json mode for scripting and agent integration
Bulk close stale issues in one operation
Slack & Teams notifications and ad-hoc investigations
On-premises and BYOC deployment options
Role-based access control (RBAC), SSO, SCIM provisioning, audit logs
Custom PII masking and BYOK support
AI agent on-call triage and investigation
Co-work with agents during incident resolution
Automatic root cause analysis for complex issues
Background agents for scheduled workflows
Custom agents via MCP, API, and Skills
Tribal knowledge capture from chats and runbooks
Mult-agent council for improved RCA accuracy
SAML SSO, RBAC, and admin controls
Data redaction, encryption, and retention
Activity and support access logging
SOC 2 Type II certification
HIPAA and GDPR compliance
Severity-based vulnerability triage
Integration with Slack and Microsoft Teams
Resolve AI Workbench for collaborative investigation
