AI Assistant
Overview
Section titled “Overview”RedCloud’s AI assistant helps you understand and act on your security data — explaining findings, summarizing scans, answering questions in natural language, and surfacing insights — without ever modifying your data.
Key benefits
Section titled “Key benefits”| Benefit | Capability | Business value |
|---|---|---|
| Faster understanding | AI explanations of findings and paths | Less time decoding raw output |
| Plain-language access | Natural-language query | Ask questions without learning a query syntax |
| Safe by design | Read-only, tenant-scoped, audited | AI accelerates work without added risk |
How it works
Section titled “How it works”The assistant (chat)
Section titled “The assistant (chat)”A floating assistant is available across the app (gated by the chat.use permission and scoped to your tenant). Ask it about findings, scans, or concepts; it answers from your data and the platform’s knowledge.
AI explanations
Section titled “AI explanations”On findings, attack paths, and architecture projects, an AI explain action produces a natural-language summary — useful for tickets, executive summaries, and onboarding.
Natural-language query (AI Query)
Section titled “Natural-language query (AI Query)”AI Query turns a plain-English question into an analytics query over your scan data, so you can explore results conversationally. The architecture canvas’s smart search uses the same idea to translate intent into a graph filter.
Implementation / workflow
Section titled “Implementation / workflow”- Ensure an AI provider is configured (Administration → System Settings → AI Configuration) and your role has
chat.use. - Open the assistant or use AI explain / AI Query where offered.
- Use the output to draft tickets, brief stakeholders, or explore findings.
Best practices
Section titled “Best practices”- Use AI explanations to standardize how findings are described in tickets.
- Remember the assistant is read-only — it advises; you act.