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Verifiable audit trail

Prove which agent did what, and when.

  • Identity
  • NoSQL
  • Store

The scenario

Every action an agent takes is signed with its identity and recorded, so it can be audited later.

How it works

  1. 1The agent signs each action.
  2. 2Signed actions are stored as records.
  3. 3The partition is frozen at period end.

An illustrative scenario, not a customer story.

Interactive simulation

Simulate this case study

Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.

Partition

—

Status

not created

Elapsed

00:00

Overall0%
  1. Provisioning
  2. Processing
  3. Freezing
  4. Complete

01The agent signs each action.

queued
  • Ahura Identityqueued

    status: queued · 0 / 60 signatures

02Signed actions are stored as records.

queued
  • Ahura NoSQLqueued

    status: queued · 0 / 600 records written

03The partition is frozen at period end.

queued
  • Ahura Storequeued

    status: queued · 0 / 48 objects stored

Not createdus-eastRetention hold
Run time
00:00
0 calls
Size
2.3MB
0.00 ACU used

Services in this partition

  • Identity

    0 calls · 0.00 ACU

  • NoSQL

    0 calls · 0.00 ACU

  • Store

    0 calls · 0.00 ACU

Spend by service

Event log

  • Waiting to start.

Why Ahura OS

Why this is better on Ahura OS

Audit trails fail when they can be edited by the people being audited or assembled in a panic at year end. On Ahura OS each action is signed with the agent’s own identity and written as a record as it happens. At period end the state is frozen and retained for as long as required. The trail is queryable the whole time and attributable to a specific agent, which is a stronger position than logs gathered after the fact.

What each capability replaces

  • Ahura IdentityInstead of building key management and signing services, each agent gets an identity and a signing and verification service whose private keys are never handed to the agent.
  • Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
  • Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.

And on every use case

  • One endpoint, not a stack

    Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.

  • Isolation by construction

    Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.

  • Cost follows use

    Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.

  • Retention and deletion built in

    Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.

  • Safe autonomy

    Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.

  • Ready for audit

    Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.

Compared

The old way of doing things

Today

Logs scattered across systems, editable by the people being audited, and gathered by hand at year end.

Cheaper with Ahura OSNo separate audit tooling to stitch together.
Faster with Ahura OSRecords are queryable immediately instead of assembled before the audit.
Less risk with Ahura OSEach action is signed by the agent’s own identity, and the period’s state can be frozen and retained for as long as required.

Data retention is built in

Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance