Features
AI-native semantic code graph
Multi-step attack chain mapping
Business logic vulnerability detection
CI/CD integration with PR scanning
One-click auto-fix pull requests
Contextual scanning across repos and trust boundaries
Natural language security policy rules
Compiler-accurate indexing for dynamically typed languages
Threat modelling across services and release cycles
Jira, Linear, Slack, ClickUp, Shortcut integrations
SSO/SAML with SCIM provisioning (Enterprise)
Audit logging (Enterprise)
Self-hosted and private cloud deployment (Enterprise)
Intelligent vulnerability prioritization
GitLab vulnerability export
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
