NANORI / RESOURCES

Go beyond the overview.

Understand the investigation, examine the capabilities, and define what a useful evaluation should prove.

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AN INVESTIGATION QUESTION

The reads look ordinary.
Does the pattern?

A shared account and a familiar SELECT can conceal a change in how much data is being read. Examine the whole window, the available identity and the data involved before deciding what the activity means.

Customer profiles with fictional names, emails and phone numbers are linked to masked financial accounts. Three selected orange rows also appear in the query results.

01Customer profilesNames and contact information

02Linked accountsPersonal data connected to financial records

03Query resultsSelected information copied through reads

Orange follows the selected records, not a malicious customer. Nanori helps investigate who accessed the data and whether the pattern deserves review.
01 / IDENTITY

Who is associated?

Separate the database account from the application user. Missing attribution deserves investigation; it does not identify an attacker.

02 / BEHAVIOR

What actually changed?

Compare extraction, sources, tools and data access with the available baseline. Check whether the profile is still learning.

03 / EVIDENCE

Can you explain it?

Review the scoped statements and the business context. An expected report and an unauthorized extraction may begin with similar SQL.

SOLUTION BRIEF / ENGLISH

Identity investigations with Nanori Trace

Explore application-user attribution with Trace and investigation in Oversight. Follow shared-account activity into the identity context, risk findings and evidence available for review.

  • A worked shared-account investigation with SQL and identity context
  • Deployment with Nanori or independently with compatible monitoring
  • Four evaluation exercises with concrete evidence to request
Download PDF 3 pages · English

DATA SHEET / ENGLISH

Nanori platform capabilities

A technical evaluation reference covering capture, attribution, risk detection, evidence retention and integration. Understand both the available capabilities and the conditions they depend on.

  • Evidence fields, detection families and alert paths
  • Audit actions, retention, sensitive-data exposure and Sammy
  • Lens capture coverage, Trace integrations and encryption boundaries
Download PDF 6 pages · English

MAKE THE EVALUATION COUNT

Ask for evidence you can inspect.

Attribution: two application users sharing one database account, with their captured identities kept distinct.

Capture: visible statements and encryption metadata checked separately on your intended connection path.

Investigation: a finding linked to statements, an explicit review outcome and an export with the applicable retention policy.

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COMMON QUESTIONS

Before you go deeper.

Do I need all three Nanori products?

Lens and Oversight are deployed together for database monitoring and investigation. Trace is optional when you need application-user attribution, and can also be used independently with another compatible monitoring product.

Can Nanori identify every person behind a query?

Application-user attribution depends on available application context. A shared database account alone does not identify the person behind it, and missing context remains unknown.

Does encrypted traffic always provide visible SQL?

No. Encryption state and statement visibility are different questions. Coverage depends on the engine, connection path, and configuration. Review the actual environment before deployment.

Does Sammy run actions automatically?

Sammy proposes searches and policy changes for review. Your analysts decide when to run a search or save a policy change.

Where are the technical guides?

Product documentation, detailed deployment architectures, and integration guidance belong in the authenticated customer and partner library. Public briefs and data sheets are available without signing in.