Visibility
All NHI
SOC Analyst
Incident Response

Answer any NHI security question in plain English in seconds without query language or a data analyst

Quick Summary: Oleria's Natural Language NHI Query Interface lets any security team member ask identity questions in plain English and get instant, cited answers — no query syntax required. Built on Oleria Trustfusion, an AI-native identity security platform, it turns every analyst into a self-sufficient NHI investigator.

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Outcome

At 3am during an incident, you need "which NHIs accessed this S3 bucket in the last hour" answered in 30 seconds - not a JQL class you don't have time to take. Oleria lets anyone on the team ask identity questions in plain English and get cited, verifiable answers instantly.

The reality

Gartner's SOC technology research consistently identifies natural language query as a top priority for security operations tooling - analysts and IR teams expect to work conversationally, not through query syntax. The 3am bridge call doesn't have time for a learning curve.

Most identity tools have a query language - and a learning curve to match. The team's most senior IAM engineer can write the query. Everyone else either waits or guesses. That gap costs real time during incidents and means junior analysts can't self-serve on the questions that should be routine.

What you get with Oleria

Instant answers to any NHI question, in plain English. The Natural Language NHI Query Interface means "Which NHIs accessed this S3 bucket in the last 24 hours and have admin scope?" is answered in seconds - no query syntax, no waiting for the senior engineer.

Every answer is fully cited. Each result points back to the source records it was composed from. No black box - analysts and reviewers can verify the answer matches the question.

Saved views that multiply the senior engineer's knowledge. Useful questions become saved views the whole team can rerun. The senior IAM engineer's hard-won queries become the team's shared library.

What Oleria delivers

The Natural Language NHI Query Interface puts instant, cited answers to any identity question in every analyst's hands — no query language required.

Outcomes at a glance

Plain English queries
No query syntax required
Cited answers
Every result sourced
Saved views
Team's shared library

How it works

  1. Connect - The full NHI graph, queryable.
  2. Ask - In plain English, in the search bar or chat surface.
  3. Review - Answer with citations to source records.
  4. Act - Save as view, export, or trigger workflow from the answer.

What good looks like in 90 days

  • New analyst ramp time: from "weeks to write useful queries" to productive on day one without learning a query language.
  • IR bridge call response time: from "I'll get back to you in 20 minutes" to answered in real time during the call.
  • Senior IAM engineer queries: from tribal knowledge to a shared saved-view library the whole team reuses.
  • Analyst self-service rate: from "only senior engineers can query" to any team member answering routine identity questions independently.

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Stop waiting on the one engineer who knows the query language.

‍Any analyst on your team can ask NHI questions in plain English and get instant, cited answers — from the 3am bridge call to the quarterly review. Oleria Trustfusion, an AI-native identity security platform, makes your entire team self-sufficient.

Book a Demo

Frequently Asked Questions

How accurate is the natural language interpretation?

The interface confirms the question it understood before answering. If it gets the question wrong, you correct in plain English. The citations let you verify the answer matches the question.

Does this replace our SIEM searches?

No - this is identity-graph-shaped questions. SIEM is event-stream-shaped questions. Complementary surfaces for complementary questions.

Can anyone on the team use this, or do they need IAM training?

Anyone who can phrase the question in plain English can use it. The interface is designed for SOC analysts, compliance leads, and managers - not just IAM engineers.

Can I save searches and share them with the team?

Yes - any useful natural language query becomes a saved view the whole team can rerun. Senior engineer's hard-won queries become a shared library.

What if the AI misunderstands my question?

The interface shows the query it understood before answering. If it gets the question wrong, correct in plain English. Citations let you verify the answer is grounded.

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