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Core Modules

AI Assistant

The AI Assistant lets you work with ThreatWeaver by typing what you want in plain language. Ask it a question about your exposure and it answers using your own data; tell it to do something — build a dashboard, draft a ticket, start a report — and it proposes the action for you to confirm before anything happens.

What it's for

  • Get answers without hunting through screens — ask "How many critical vulnerabilities do I have?" or "What's getting worse this month?" and read a written answer grounded in your environment.
  • Take action by describing it"Build me a vulnerability dashboard for the last 30 days" or "Show me my open tickets." The assistant proposes the action and waits for your Confirm.
  • Stay in flow while you work — smaller assistants live inside other modules, so you can draft a fix plan or ask about your asset inventory without leaving the page you're on.

Come here when you'd rather ask than click, when you want a quick written summary of where you stand, or when you want a head start on a task like a ticket or an executive report.

The screens in it

The main AI Assistant is a full-page chat workspace: a conversation on the right, your past conversations on the left, and a box at the bottom where you type. It can answer questions and carry out actions across your environment.

AI Assistant — the chat workspace with suggestions and the message box

Alongside it, ThreatWeaver puts focused assistants where the work happens:

  • AI Labs — a set of AI tools for remediation, in its own AI Assistant tab in Exposure Management (a sibling of the Remediation tab, not nested inside it): generate a fix plan, draft a ticket, write an executive summary, analyse a root cause, and more.
  • Ask (in Cyber Asset Management) — ask plain-language questions about your asset inventory and coverage, with a safe, read-only preview of exactly what will be answered before any data is returned.
  • Model Benchmarks — a scorecard of pass rate, latency, and cost for each task type the AI handles, so you can see how well it's performing.

Where to go next