GAS AI - Gather. Analyze. Settle
Discover how GAS AI (Gather. Analyze. Settle.) transforms endpoint operations with intelligent automation. In this demonstration, GAS AI gathers real-time endpoint data, analyzes system health and root causes using AI, and automatically recommends or executes the best remediation actions.
What You'll Learn
- How to access the GAS AI workspace within the Trinetri Autonomous Platform
- How to gather endpoint and security data using natural language prompts
- How to analyze collected information with AI-powered insights
- How to investigate security events and endpoint activities
- How to use AI-generated summaries to accelerate troubleshooting and decision-making
- How to review findings through visual dashboards and charts
Frequently Asked Questions
What is GAS AI?
GAS AI (Gather. Analyze. Settle.) is an AI-powered assistant within the Trinetri Autonomous Platform that helps administrators quickly collect information, analyze endpoint data, and resolve operational or security issues using natural language queries.
What type of information can GAS AI analyze?
GAS AI can analyze endpoint inventory, security events, vulnerability information, compliance status, deployment data, and other operational information available within the platform.
Can I ask questions using natural language?
Yes. GAS AI allows administrators to interact using natural language prompts, making it easier to retrieve information without manually navigating multiple dashboards.
Does GAS AI provide visual insights?
Yes. Depending on the query, GAS AI presents results in tables, summaries, and graphical visualizations to help users better understand trends and endpoint data.
How does GAS AI help administrators?
By gathering relevant data, analyzing large amounts of endpoint information, and generating concise summaries, GAS AI significantly reduces investigation time and improves operational efficiency.
Can GAS AI assist with troubleshooting?
Yes. Administrators can use GAS AI to quickly investigate endpoint issues, security incidents, and operational events by asking contextual questions and reviewing AI-generated insights.