Overview

Data Theorem provides several integrations that collect information about your GKE deployments to help you manage your Kubernetes security posture. Additionally, like the data collected from all Data Theorem integrations, we send your GKE information to our analyzer to build a deep, full-stack understanding of your applications and resources they rely on.

The following integrations collect KSPM information:

KSPM Integrations

GCP Account Integration

See https://datatheorem.atlassian.net/wiki/x/AoBQAg

GCP Load Balancer Log Analysis Integration

The Data Theorem GCP Load Balancer integration forwarding HTTP request logs from your GCP load balancers to a log sink that publishes HTTP request metadata to a Data Theorem Pub/Sub queue.

Cloud Logging Sinks can be created at multiple levels within GCP. Where the sink is created determines which logs it is able to forward: if the sink is created within a project, it will only be able to forward logs from that project. If the sink is created at the organization level or in a folder containing gcp projects, then it will be able to forward logs from any project within that organization or that folder.

Data Theorem strongly recommends creating the sink at the organization level to maximize discovery, and to then use the sink’s log filter to limit which logs are sent to Data Theorem.

Pre-requisites

Create a Cloud Logging Sink

Create Sink 1Create Sink 2

Create a Service Account

Create Service AccountCreate Service Account

Create a Pub/Sub subscription

Kubernetes In-Cluster Helm Chart Integration

TODO

Kubernetes Control-Plane Integration

Seehttps://datatheorem.atlassian.net/wiki/x/JoEkYw