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ORDRANISecurity

For identity security teams

From knowing which machine identities exist to knowing how they behave.

Governance tells you which machine identities exist and what they can access. Ordrani adds what governance cannot see: how each identity actually behaves, and when a correctly provisioned identity starts being used for something else.

The challenge

A valid credential, used by the wrong party, looks entirely legitimate.

Discovery and governance tools answer essential questions: which identities exist, who owns them, what they can access and whether their credentials are stale. Those controls reduce exposure. They do not reveal when a correctly provisioned identity starts being used for something else.

Machine credentials are long-lived, widely distributed and frequently embedded in automation. When one is stolen, its use by an attacker inherits every permission and every assumption of trust.

How Ordrani helps

  • A behavior model per identity, describing its normal timing, scope and relationships
  • Detection of credential use from new execution contexts, networks or schedules
  • Visibility into permission utilization — granted versus actually exercised
  • Evidence that strengthens least-privilege and rotation decisions

Signals evaluated

  • new execution context
  • off-schedule activity
  • novel API family
  • new companion identity
  • source network change

Who it serves

Identity security teams and those responsible for non-human identity governance programs.

Behavior over time

What a misused credential looks like against its baseline.

How a misused credential stands out against an identity’s learned baseline.

Identity behavior model

prod-deploy-role · distinct resources accessed per session

010203040learned baselineapproved release v2.14baseline re-learned33 resources · run 41822.3× above upper boundsession 1session 5session 10latest

How it works

From inventory to behavior.

  1. 01

    Discover

    Assemble an inventory of roles, service accounts and workload identities from IAM configuration, trust policies and observed activity.

  2. 02

    Map relationships

    Record federation paths, role chains and the identities that habitually operate together.

  3. 03

    Learn behavior

    Model each identity’s normal timing, scope and permission use with its own behavior model.

  4. 04

    Detect misuse

    Flag credential use from new contexts, networks or schedules — the characteristic signature of a stolen machine credential.

Where behavior complements governance

What becomes visible when behavior is modeled.

01

Stolen credentials

A valid key used from an unfamiliar network or execution environment.

02

Off-schedule activity

A nightly job identity active at midday, or a release role active when no release is running.

03

Novel API families

An identity that only ever writes to a queue beginning to enumerate IAM or read secrets.

04

Permission drift

The gap between granted and exercised permissions, as evidence for least-privilege reviews.

05

New companions

An identity suddenly operating alongside roles or services it has never worked with before.

06

Rotation evidence

Which credentials are actually in use, by what and from where — before you rotate or revoke them.

Continue exploring

Related reading.

Add behavior to your identity program.

We are glad to discuss how behavioral models could complement the governance controls you already run.

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