Autonomous agents that pentest every client environment continuously, prove what is exploitable, and verify the fix — one isolated tenant per client, and nothing reported that was not reproduced.
Signed in as one tenant, the API returned another tenant's record — the boundary the whole product rests on.
Nothing is recorded without the requests that proved it. A boundary has to be crossed and the crossing has to replay, so what reaches an analyst is what a client should actually fix.
Point agents at last week's scanner export or a client's open backlog. They reproduce what is still exploitable and retire what is not, so nobody spends a shift confirming what was already known.
Every client is isolated from every other, with its own scope, its own limits and its own record. Adding the twentieth client costs what the second one did.
Onboarding is a target and a scope. First findings land within hours, which is fast enough to run inside a sales motion rather than after one.
An inventory tells a client how many hosts they have. A map tells them what runs where, what is connected to what, and where a finding sits relative to everything around it. One per client, and yours to forward.
The transcript is the finding. It goes to the client as it stands.
Connected over MCP, with the exploit as the spec. Your analysts stay advisors, not a ticket queue.
Replay the original exploit and record whether it still reproduces.
Continuous coverage across every client you manage, findings that arrive proven, and a cost per client that falls as the book grows. Tell us how you deliver today and we will show you where agents fit.