Sarghaby Araghatta
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Home / Where Sargha fits

See your whole AI stack without putting anything in its path.

Sargha reads each layer from the side, so your model traffic never passes through it.

Your AI stackPeople and developersAgents and tool serversGateways and modelsVector stores and dataIdentities and pipelinesSargha reads itSensor on hostsRead-only connectorsCloud account accessPre-merge checkYou getOne inventoryWho can reach whatProof for auditorsYour AI stackPeople and developersAgents and tool serversGateways and modelsVector stores and dataIdentities and pipelinesSargha reads itSensor on hostsRead-only connectorsCloud account accessPre-merge checkYou getOne inventoryWho can reach whatProof for auditors
Beside your stack, not in front of it.

People and developers

Coding agents, IDE assistants, browser extensions, AI apps, provider keys and traffic to AI services on each laptop, and AI apps on managed phones from your device inventory.

Agents and tool servers

Orchestrators, skills, agent memory and tool servers, with the package, version and source of each. Unpinned or untrusted ones get a trust verdict. In-house frameworks show up too.

Gateways, models and vector stores

Gateway routes, keys and budgets, which model providers are used, and which vector stores exist and whether they accept unauthenticated requests. Store contents are never read.

Data and identities

Which agents and identities can reach each data store, and over how many paths. Every agent and key is a governed identity with an owner.

Endpoints and pipelines

The sensor runs on Windows, macOS, Linux and Kubernetes nodes. Source-control and pipeline connectors find AI libraries and committed keys. A pre-merge check returns pass, warn or block.

What it is not

Not a proxy or inline guardrail, and the sensor never reads prompts or chats. The one choice you can make is the managed browser extension on user workstations, which checks what a person submits to ChatGPT, Claude or Gemini before it is sent. The text is checked in memory and is not stored. Observe by default; blocking is opt-in and audited.

How it works

Step by step.

  1. Ask

    Query posture from your assistant. The tools are read-only and the key is revocable.

  2. Gate

    A pre-merge check flags AI secrets, risky dependencies and untrusted tool servers.

  3. Re-test

    Test the agents Sargha found, with their paths and chains, fix them, and run the test again.

Questions

Common questions.

Is Sargha in my request path?
No. It sits beside your stack and reads each layer. Your model traffic never passes through it.
Does it read prompts or chats?
No. The one choice you can make is the managed browser extension on user workstations, which checks what a person submits to ChatGPT, Claude or Gemini before it is sent. The text goes over TLS to your own Sargha collector, is checked in memory and is not stored; only the decision, the destination site and the kinds of data found are recorded.
What you need
  • Nothing in your request path changes.
  • The sensor through your device-management tool, and read-only accounts for the clouds and services you connect.
For your technical team

The connector families and what each one reads are in the technical pack, shared with your team under NDA.

Request the demo and technical pack
Get started

See the AI on your fleet in about a week.

Run the sensor across your estate and receive an AI risk report and an AI Bill of Materials. The assessment is free and carries no commitment.

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