Autonomous AI Security Engineer
Connected glass nodes representing the AIGuardix security graph

Integrations

Connect the context.
Keep your tools.

AI SEC GUARDIX brings security signals and operational context together without forcing teams into a new stack.

Cloud

01

AWS

Accounts, resources, configuration, networks, identities, controls, and data

Source control

01

GitHub

Organizations, repositories, Actions, secrets, dependencies, and remediation PRs

02

GitLab

Projects, pipelines, source code, dependencies, and ownership

03

Bitbucket

Repositories, pipelines, code context, and teams

Infrastructure

01

Terraform

IaC analysis, drift context, generated fixes, and pull requests

02

Docker

Images, Dockerfiles, packages, runtime context, and container identity

03

Kubernetes

Clusters, workloads, RBAC, service accounts, exposure, and attack paths

AWS security

01

Security Hub

Finding ingestion and enriched investigation context

02

GuardDuty

Threat detections correlated with resources, identities, and network paths

03

Inspector

Reachable vulnerability analysis across workloads and containers

04

AWS Config

Configuration state and security-control evaluation

Collaboration

01

Slack

Investigation updates, approval requests, and verified outcomes

02

Microsoft Teams

Team notifications, approval workflows, and collaboration

03

Jira

Issues, owners, remediation workflow, and audit links

Need a specific connection?

Talk with our team about your security stack and the context your investigations need.

Book an integration session

See your real attack paths

Turn security signals
into verified outcomes.

Bring one high-priority risk. We’ll show you how AI SEC GUARDIX would investigate, connect, and remediate it.

Book a meeting