Checked first, always
The rule is applied before any other permission. A request from an agent of an unapproved vendor is refused there.
Only approved AI models near your data.
One rule for your whole company names the AI vendors you trust. It is checked before anything else, and no role, exception or approval can override it. Self-hosted, on your own keys.
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Transcript (79 seconds)
Ascent product overview: five core features.
One: see every AI agent with access to your data, and its blast radius before it acts. Data repository by data repository, which read modes it's allowed, who armed each token, and how much it could reach: here, forty-one thousand two hundred records, thirty-seven percent of the estate, in plaintext.
Two: permissions with real granularity. Not just what can be accessed, but under what context: who is asking, agent, person or service; which data repository, record type and tags; and conditions like multi-factor authentication, signed requests, IP ranges, countries, days and hours.
Three: when an agent oversteps, it's refused in the moment, and the reason is written down in plain language. You decide what happens next with customizable response workflows: take action directly, freeze the data repository, revoke the token, alert, or push notifications to your SIEM.
Four: agents get what the task needs, and the rest stays out of reach. The same record reads four ways: redacted, anonymized, ciphertext, or plaintext, whether it's accessed by an agent, a human, or software, through the UI, the API, the CLI, MCP, or SQL. Every one is a separately permitted, separately audited read.
Five: when the auditor comes, you hand over an evidence pack built from the hash-chained audit log: signed, framework-aware, and verifiable by anyone who presses Verify.
Ascent. A modern data control plane so you can control what AI can see and do.
What you get
See the effect before you switch it on
Run the rule in watch-only mode and see exactly which recent requests it would have refused.
Every refusal is explained
Each refused request is recorded with the rule that refused it, so you can show exactly what was stopped and why.
Three steps, on the real product.
01
Name your approved vendors
One sentence: requests from AI agents must come from these vendors. An administrator records each agent's vendor on its identity.
02
Watch before you enforce
See what it would have refused over recent traffic, so nothing is switched on blind.
03
Enforce, and keep the receipts
Turn it on. From then on every refusal is on the record with the rule that caused it.