01
From finding to attack path
A practical model for connecting security signals to reachable business impact.
Resources
Practical thinking for
autonomous security teams.
Clear guides for investigating real risk, understanding attack paths, controlling remediation, and verifying outcomes.
Featured guide
Stop prioritizing severity in isolation.
Learn how reachability, exposure, permissions, data sensitivity, and compensating controls change vulnerability risk.
Contextual risk · Live
Internet-to-data path
Immediate remediation recommended.
02
Understanding effective cloud permissions
Why attached IAM policies rarely tell you what an identity can actually access.
03
Designing safe autonomous remediation
How policies, approvals, validation, and rollback shape trustworthy AI action.
04
AWS security context that matters
The relationships across workloads, identities, networks, controls, and data.
05
Proving a remediation worked
Move beyond closed tickets with reachability and attack-path verification.
06
How AI security agents reason
Evidence correlation, security graphs, model inference, and explainable decisions.
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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.
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