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

Platform

One reasoning layer for
your security environment.

Unify cloud, code, identities, applications, and infrastructure into an evidence-driven security graph.

How it works

A continuous loop. Not another alert queue.

01

Observe everything

Continuously map cloud assets, code, APIs, identities, containers, configurations, and security signals.

02

Investigate continuously

Collect the missing context that determines whether a finding represents real-world risk.

03

Connect the attack path

Correlate relationships across infrastructure, runtime, permissions, and sensitive targets.

04

Remediate the issue

Generate fixes, evaluate impact, apply policy, and route sensitive actions for approval.

05

Verify the fix

Re-scan, validate, and recalculate the path before declaring the risk resolved.

Security graph

Relationships reveal the risk scanners miss.

Model how assets, services, identities, permissions, vulnerabilities, repositories, data, owners, and controls affect one another.

InternetEntry point
payments-apiPublic workload
CVE-2026-1842Exploitable
runtime-rolePrivileged identity
customer-dataSensitive target

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