Put AI on health, payment and HR records.

Without widening who can see them: sensitive fields stay encrypted, every reader gets only the view of a record they're allowed, and you hand the auditor proof rather than a promise. Self-hosted, on your own keys.

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Self-hosted, on your own keys. No credit card.

For security teams →For engineering teams →

Introduction: the problem, and the data control layer that answers it
Transcript (50 seconds)

Your company said yes to AI agents. They're reading customer data, financials, and files, around the clock, faster than any team could.

Three questions nobody in the building can reliably answer.

How much can these agents reach?

What stops a rogue agent, or an employee intentionally or unintentionally misusing one?

What is the blast radius if something does go wrong, and how would you prove what happened?

Ascent: the data control plane between your agents and your data. An AI data firewall.

Agents get what the task needs. The rest stays out of reach.

See every agent's blast radius before it acts. Shut down a rogue one in the moment.

Answer the auditor in minutes, with every decision on the record as verifiable proof.

Know what they can reach. Stop what they shouldn't. Prove it.

Ascent. A modern data control plane so you can control what AI can see and do.

What you get

Seeing real values is a separate permission

An agent can do its job on redacted or anonymized data without ever being able to see the real value.

A record that can't be quietly edited

Every access is written to a tamper-evident audit log: who, what, when, from where, and which rule allowed it.

Proof the auditor can check

Export a signed evidence report for any period. Anyone can verify it independently, and it never contains the sensitive values.

Three steps, on the real product.

  1. 01

    Protect the fields that matter

    Mark the sensitive fields once. Each is encrypted individually, with keys you can hold yourself.

  2. 02

    Give each agent only what it needs

    A support agent works on redacted data. An analytics job reads anonymized data. A person with a reason gets the real value, with a time-limited approval.

  3. 03

    Answer the auditor in minutes

    Choose the period and the agents in scope. The evidence report is signed and checkable, with no sensitive values inside.

Three ways to see Ascent working.

Book a demo

Talk it through with us.

30 minutes with the team, on your questions.

Book a demo

Try the labs

Hands-on, synthetic data, no sign-up.

Two hands-on labs that simulate Ascent on synthetic data, with nothing to install: the containment lab and the vibe coding lab.

Try the labs

Request a trial

Your own instance.

We set up an instance for you on our infrastructure and email you within one business day. No credit card. Please use test or sample data.

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