No agents to install on infrastructure you don't already run. No months-long rollout. CloudSentry AI connects read-only to the clouds you already use and starts finding risk within the first sync.
Self-service onboarding through the product itself — Azure, AWS, or GCP — using a scoped, read-only credential. No lengthy professional-services engagement, typically minutes per account.
Every connected account is scanned on an hourly cycle. Native AI resources (Bedrock agents, Azure OpenAI deployments, Vertex AI endpoints) and tagged custom agent frameworks are both discovered automatically.
Every agent is evaluated continuously against the full catalog — inventory and ownership, access and identity, data protection, behavioral anomalies, infrastructure guardrails, and compliance evidence.
High-risk findings can trigger a proposed remediation action — disabling an agent, revoking a credential — but nothing executes until a named person with the right role explicitly approves it.
Every finding, approval, and remediation is timestamped and retained, so your compliance report reflects what's actually true right now, not a snapshot from the last audit cycle.
Autonomy is what makes AI agents valuable. It's also exactly why a human stays in the loop on the decisions that matter most.
A high-risk action is proposed or detected.
The action is logged as pending, never executed automatically.
A named person with the Approver role reviews and signs off.
Only then does CloudSentry AI carry out the action, with a full audit trail.
A live demo takes 30 minutes and starts with your real environment, not a canned dataset.
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