Full-Stack Root Cause Analysis (RCA) with AI Agents

Hi there and welcome.

In this short video you'll see how we perform root cause analysis with AI agents across a full stack environment.

This typical enterprise includes remote workers, corporate offices and power plants connecting to data centers through SD van with applications and existing tools feeding into a single unified view in the background.

Multiple agents run continuously across every domain, collecting data and analyzing it.

Here is one issue the agents identified.

A user is experiencing VPN issues and the agents have already gathered the relevant data from the summary.

Authentication and tunnels appear to be working correctly, although there are a few disconnected events.

This is where a manual investigation can become difficult.

The agent pulls together all of the data including is authentication related data.

you can see idle timeout issues along with firewall events collected from relevant gateways where down events are visible.

Several sites are showing drops across multiple gateways and locations.

The event timeline brings everything together and the root cause analysis concludes that this is a client network instability issue.

the network itself is not the problem.

This is a client related network issue.

As you can see, the confidence level is high.

The same approach applies to WI fi, application access and other related agents.

To explore more videos, visit our website.

In the Company Nav menu under Learn and Discover you'll find the video library.

You can search for videos by topic.

For example, to learn how we handle agent observability, simply search for it.

Here you can see three available videos.

You can explore this observability specific video along with platform related demos.

Thank you so much for tuning in.

See you in another video.