AI Cyber Defense / Cloud, Kubernetes and software supply chain
AI Cyber Defense: Protect object storage from public and cross-account exposure
Enforce organization-supported public-access restrictions and narrow sharing to named recipients. Review data exposure at the effective resource boundary rather than only the console label.
Environment and inputs: Cloud control planes, workload identity, Kubernetes clusters, CI/CD pipelines and immutable deployment artifacts; provider support varies.
Scenario and goal
A generated configuration or hurried exception can publish sensitive objects through multiple policy layers.
Why it matters
For this scenario, an attacker can automate permitted API operations after gaining a workload or pipeline identity. Review who can change trust, who can assume the resulting identity and what resources it can reach. Keep source review, build provenance, deployment authorization and runtime permissions as distinct checks. A configuration object or successful deployment does not prove the intended runtime boundary is enforced.
Evidence to collect
Evaluate bucket or container policy, object ownership, access points, public settings and cross-account grants together.
Validate with an authorized exercise
Create a harmless private test object and check authorized, anonymous and unrelated-account requests; verify each access result agrees with the intended sharing policy.
Rollout and checks
Evaluate effective permissions and runtime behavior in a disposable account or namespace before production rollout. Retain the approved source revision, resulting artifact and independent audit trail. Plan recovery if identity, policy or admission dependencies fail. Reconcile running assets after the change because resources created outside the normal pipeline can otherwise remain outside its checks.
Scope and limits
This guide proposes a defensive test; it is not a tested production design. Check platform support and local requirements. References explain the mechanisms but do not certify the design. Behavior alone does not prove AI involvement.