For teams expanding cloud workloads without a clear view of exposure.
The review focuses on identity permissions, public entry points, logging coverage, and remediation ownership.
Possible approach
Cloud6AI would map cloud accounts and projects, review IAM paths, check exposure patterns, assess telemetry, and build a prioritized hardening roadmap.
Exposure map
IAM review
Control roadmap
Owner-ready remediation plan
Software delivery security review
For engineering teams strengthening repositories and CI/CD workflows.
The review connects build permissions, secrets, dependencies, and artifact trust across the delivery path.
Possible approach
Cloud6AI would map the delivery workflow from commit to deployment, identify high-impact attack paths, and recommend pragmatic controls for engineers.
Pipeline threat map
Secrets review
Policy gate design
Developer remediation backlog
AI application and agent security assessment
For product teams connecting AI applications or agents to data and tools.
The review covers tool permissions, retrieval boundaries, prompt-injection paths, logging, and monitoring.
Possible approach
Cloud6AI would review data flows, tool scopes, identity paths, abuse cases, evaluation coverage, and runtime monitoring needs.
AI data-flow map
Agent threat model
Permission review
Monitoring plan
Vulnerability remediation operating model
For security teams trying to make a high-volume findings queue actionable.
The review adds exposure, exploitability, business context, and ownership to prioritization.
Possible approach
Cloud6AI would normalize findings, enrich them with exposure context, define routing logic, and improve reporting around accountable remediation.