We're building secure data plumbing for the age of AI agents.
AI agents need to access real data to be useful. But the standard approach — putting database credentials directly in the agent's environment — creates serious security risks that no security team should accept.
When credentials live in agent context, every prompt injection attack, every leaked conversation log, every misconfigured tool becomes a potential data breach. And there's no audit trail when something goes wrong.
We saw this problem firsthand in AI deployment projects. Security teams were blocking agent rollouts not because agents weren't useful, but because there was no safe way to connect them to real company data.
Agent Mounts is the infrastructure layer that should have existed from day one.
We apply the same principles that made cloud infrastructure trustworthy: least-privilege access, credential rotation, and a complete audit trail.
An agent gets a mount token — a scoped, short-lived credential that only grants access to the specific tables, buckets, or endpoints it needs. The real credentials never leave our secure vault.
Every data access is logged. Not just the fact that access happened, but which agent, which data, what operation, and when. The kind of log that actually satisfies a SOC 2 auditor.
We're infrastructure-first. We don't try to understand your data or your agent's goals. We just make sure the connection is secure, permissioned, and auditable.
AI agents operating on real company data without proper access controls is genuinely dangerous. We take this seriously and build accordingly.
You should always be able to answer "what did that agent access and when?" If you can't, you don't have a complete system.
Security infrastructure that takes weeks to set up doesn't get set up. We obsess over the path to a first working mount under 5 minutes.
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