AI Labs
AI Labs
AI Labs is where ThreatWeaver's AI-powered remediation tools live: generate a fix plan, draft a ticket, summarize your posture for leadership, dig into a root cause, evaluate an exception request, or chat with an AI advisor, plus the Sensors and AI Settings screens that configure what powers all of it, and a Model Benchmarks scorecard that shows how well it's actually performing.
What it's for
- Turn a vulnerability into action: generate a fix plan, a ticket, a summary, or a root-cause analysis without leaving Exposure Management.
- Configure and monitor the AI behind it: connect an AI provider or a local sensor, set governance and cost limits, and see how each model is performing.
- Reach every tool from one place: all nine are one click from AI Labs in the left navigation.
Where to find it
Open AI Labs in the left navigation to reach any of the nine tools directly. Eight of them also live together as tabs inside Exposure Management, under its own AI Labs tab, a sibling of Remediation, not nested inside it. The left-nav links and the tab open the exact same screen. The ninth, Model Benchmarks, is its own full page.
Administrators can turn individual tools on or off, so you may see a subset of the nine below. Setting up the underlying AI provider is an administrator task. See Admin.
The nine tools
| Tool | What it's for |
|---|---|
| Fix Plan Generator | Generates a step-by-step remediation plan with rollback guidance for a chosen vulnerability. |
| Ticket Writer | Drafts a ready-to-paste remediation ticket, for one vulnerability or up to ten at once. |
| Executive Summary | Writes a board-ready summary of your security status, tuned to your audience. |
| Root Cause Analyzer | Explains why a vulnerability exists and where it comes from. |
| Exception Assistant | Recommends whether (and how) to grant an exception, based on your justification and existing controls. |
| AI Chat | An open-ended chat advisor for questions about vulnerabilities, remediation, and security best practice. |
| Sensors | Connects and manages local AI compute agents that can serve AI requests from your own infrastructure instead of a cloud provider. |
| Settings (its panel is titled AI Settings) | Configures which AI provider(s) your workspace uses, plus governance, prompts, usage, cost, and routing policy. |
| Model Benchmarks | A scorecard of pass rate, latency, and cost for each kind of task the AI handles. |
The first six share a common layout and are covered together in Generators and chat. Sensors and Settings are covered in Sensors and Settings. Model Benchmarks has its own page.