The answer to 'which of our production databases are exposed to the internet and hold customer data' exists in your platform.
Getting it out means knowing which console to open, which filters to combine, and how the data model joins databases to classification to network reachability. So the question gets asked in Slack, someone spends forty minutes on it, and the next person asks it again next month.
The risk of not knowing
If it is not surfaced today, it is exposed today. Attackers do not wait for your quarterly review — and neither do auditors.
The mechanism, not the marketing
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An orchestrator interprets your question and routes it to the domain specialists that can answer it — often several at once for a cross-domain question.
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Each specialist queries your live findings through the same APIs the console uses, scoped to your tenant and your permissions.
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Answers cite the findings they were derived from, so every claim links back to the specific resource, rule, and severity behind it.
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Cross-domain questions are composed from multiple specialists — an exposure question joins network, data, and identity results into one answer.
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The assistant reads; it does not change your cloud. Remediation is proposed as a reviewable action, never executed silently.
Specific outputs, measurable outcomes
AI Assistant in the real console.
Not a mockup — the actual Onam console on a live demo account, showing exactly what your team sees.
Questions we get a lot
Ready to see AI Assistant in your cloud?
Connect a read-only role in three minutes. Your first findings surface in under five.