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Data & knowledge

Zero-trust processing of sensitive data

Let an agent work on files it never sees.

  • Store
  • Search
  • GPU
  • Workflows

The scenario

A team needs an agent to index and analyse confidential documents, but does not want the agent, or anything outside the partition, to ever hold the contents.

How it works

  1. 1The documents are uploaded from the UI into a partition marked Privacy.
  2. 2The agent instructs Ahura OS to read, parse and index them, and the work runs inside the partition.
  3. 3The agent receives results and references only, and no data leaves the partition.

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. Complete

01The documents are uploaded from the UI into a partition marked Privacy.

queued
  • Ahura Storequeued

    status: queued · 0 / 48 objects stored

  • Ahura Searchqueued

    status: queued · 0 / 520 documents indexed

02The agent instructs Ahura OS to read, parse and index them, and the work runs inside the partition.

queued
  • Ahura GPUqueued

    status: queued · 0 / 90 GPU-seconds

03The agent receives results and references only, and no data leaves the partition.

queued
  • Ahura Workflowsqueued

    status: queued · 0 / 36 steps completed

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

Services in this partition

  • Store

    0 calls · 0.00 ACU

  • Search

    0 calls · 0.00 ACU

  • GPU

    0 calls · 0.00 ACU

  • Workflows

    0 calls · 0.00 ACU

Spend by service

Event log

  • Waiting to start.

Why Ahura OS

Why this is better on Ahura OS

Most agent setups hand the agent the data, which means trusting the agent, its model provider and everything it can reach. On Ahura OS the data goes into a partition marked Privacy by upload from the UI, and the agent only issues instructions: read, parse, index, search, summarise. The processing runs inside the partition, results come back as answers and references, and no data leaves. You get the agent’s judgement without the agent’s access.

What each capability replaces

  • Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
  • Ahura SearchInstead of running a search cluster, a managed, high-performance search engine indexes your content on write and queries it fast.
  • Ahura GPUInstead of renting accelerators by the hour for inference or training, hardware starts when an agent calls it, hot models load in under a second and the bill stops when the work does.
  • Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.

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.