Say yes to AI faster, with nothing running unseen.
Your teams are already shipping AI. Saible gives you the control to go faster, and your agents the context to get it right.
Saible reads every repository of your GitHub organisation or GitLab group, your AI platforms and the gateway, and lists the AI it finds; a browser extension is coming. You claim what is yours and confirm its purpose and risk class; everything else stays listed as found, unclaimed, and the reports count it as such.
the demo organisation · seeded figures, not a customer's
ROADMAPAzure DevOpsBitbucketOne system across platforms: a repository matched to its keys and callersPush events from your code host: today nightly, or Scan nowA signed, published collector imagePrivate connectivity for Saible to pull: Terraform
The control plane works from what you already run. Without the gateway you reach six of them, Observe by reading your providers' logs on request; the gateway adds Enforce, and with it:
example application · an area is covered when all its controls are met, partly when some are
Saible enforces across providers, proves each decision, and sells nothing it governs. Independent of any hub.
Groups placed by our reading of public material, not a measurement. Proves: a record for each request, tied to the policy in force, that someone else can check.
Prompts go straight from your network to your provider. Saible receives the record of each decision, not the prompt. For a workload you opt into the evaluation corpus, a pseudonymised copy is kept in your own bucket, for the window you choose, 30 days by default. The gateway pulls the signed policy; nothing is pushed into your network.
Saible turns the systems, people, data and terms your company runs on into one business ontology, read from where they live: GitHub, Snowflake, Databricks, OpenAI, Bedrock, and Confluence, SharePoint, Salesforce and Drive over MCP. Each app's prompts, tools, MCP servers and datasets become one signed manifest; drift and conflicts go to a person. Your agents read the confirmed version through one context API, with a signed receipt per answer, so the record shows which context each answer used.
Business Ontology: the metric, dataset or document behind each manifest, related context ranked with reasons. Saible keeps hashes; prompt text stays in your bucket or encrypted, never served.
Backtest a policy on your recorded traffic, or a model on each app's golden set, through your policy. Nothing changes in production until someone with the right role approves it.
ROADMAPAutonomous switching, within limits a person sets.
Five sample rows, hashed in your browser by the method the ledger uses.
| decision | endpoint | prev | record_hash | verify |
|---|---|---|---|---|
| — | 22c5…e634 | – | ||
| 22c5…e634 | 2211…e274 | – | ||
| 2211…e274 | 4dda…0ec8 | – | ||
| 4dda…0ec8 | f056…2938 | – | ||
| f056…2938 | 420c…95c7 | – |
Edit a decision or endpoint above, then press Verify: the edited row recomputes to a different hash than the one stored for it, and it names itself. Every row after it reads chain broken, because its own link points at a record that no longer matches what is stored. That is what tamper-evident means, and what it does not yet mean: a rewrite of the whole chain, hash by hash, by someone with write access, passes verification. Anchoring the chain outside our account is what closes that gap.
The inventory is discovered from your platforms, your code and the gateway; a browser extension is coming. A person claims a system and adds its purpose and risk class; those two stay human.
Every decision is chained to the one before. Edit one record and the chain names it; your auditor can check it with the verifier in the evidence pack.
A map of the evidence held for each obligation, with the reason behind every cell, ready for your auditor to test.
Every call through the gateway is on the record, or a gap record says it was not, and the console shows exactly which calls those are.
Spend from your providers' bills, by team, against budgets flagged at 80% and 100%. Send a unit header and see what one claim or one ticket costs.
Write-back proposes the change to a platform's configuration, shows a dry run, and applies it only after approval, with rollback. Built today for Bedrock and OpenAI.
The exposure report connects read-only to OpenAI, Anthropic, Azure OpenAI, Bedrock, Snowflake and Databricks. It shows what runs, what each platform lets through, and how much of it you could prove.
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