One layer over every model, agent, and gateway you run. Midgate reconstructs each agent run end to end, surfaces the AI nobody approved, catches injection and data exfiltration mid-run, and enforces your policy before an action lands. All of it inside your own network.
It arrives in four places, on four different timelines, and almost never through one team. Midgate covers all of them from the same record.
Customer-facing chat, internal helpdesk, and the copilots embedded in your own products. High volume, real users, and a direct line to your data.
A user, or a document the assistant retrieves, talks the model into revealing something it should not, or into calling a tool on their behalf.
Midgate records every prompt, response, and retrieval, links them into one run, and flags injection and data leakage as it happens. Arm a rule and the response is masked or held before it reaches the user.
Assistants that read your repositories, open pull requests, and run commands. They hold the most sensitive access in the company and often the least oversight.
A comment in an issue, a README, or a dependency carries instructions the agent follows. Each tool call looks ordinary on its own.
Midgate captures the tool calls and links them back to the input that triggered them, so a poisoned comment and the command it produced read as one chain rather than two unrelated events.
Multi-step work that plans, delegates to other agents, and acts on the result. Runs measured in hours, sometimes days.
Nothing in any single step looks wrong. The compromise at step three only becomes visible at step forty, by which point the run has already acted.
Midgate keeps the whole trajectory as one record and evaluates policy before each action lands, so a run can be stopped mid-flight instead of investigated afterwards.
Model calls buried in extraction, enrichment, scoring, and document processing. No interface, no user, and usually no record beyond a bill.
A model or provider is swapped in a config change nobody reviewed, or a job quietly starts sending records to an endpoint that was never approved.
Every model, provider, and agent that appears in your traffic is inventoried, so an unapproved endpoint or a changed model shows up as a finding rather than a surprise in the audit.
Independent research puts numbers on the distance between what teams believe they can see and what is actually running.
found shadow AI agents in the past year. In the same survey, 68% said they had high confidence in their visibility.
reported at least one AI-related incident in the past year.
are highly confident they fully retire the agents they stand up.
Source: Cloud Security Alliance, Autonomous but Not Controlled, April 2026.
Built for estates where agents call tools, hand work to each other, and run for hours at a time.
Prompts, responses, tool calls, and handoffs between agents, captured once and linked into the run they belong to.
Every model, provider, and agent in your traffic, inventoried. Anything off your approved list is flagged.
Tool-chain attacks surface as one linked chain tagged to MITRE technique IDs, not scattered alerts.
Your rules, your agentic workflows, your thresholds. It runs in your network, so it adapts to your architecture instead of the reverse.
Deterministic policy, evaluated before an action lands. Shadow mode first, then block, mask, or route to a human.
Attack your own agents to measure coverage, and generate audit evidence from the record.
A single call is easy to watch. A dozen agents delegating across a multi-day run is not: risk propagates and compounds across steps, and the failure at hour nine began somewhere at hour one.
Attacks that cannot happen in a single turn, multi-turn poisoning, tool chaining, persistent injection, are caught across the whole trajectory.
Interop protocols move work between agents but leave identity and authorization to you. Midgate records and governs what actually crossed.
Control stops depending on each team remembering to add guardrails to its own agent.
When something is flagged, the next question is what did it touch? Midgate reconstructs the run so you can answer it.
A single posture score for the project, and the agents pulling it down, named.
Attacks are generated for your specific business and replayed against your detectors, so coverage is a measured number rather than a claim.
The evidence auditors ask for is derived from the record itself, not assembled by hand.
Sits above the providers and gateways you already use.
Out of the request path, so it can never slow or drop a live call.
Recording, detection, and investigation all happen inside your network.
Every rule starts in shadow. Nothing destructive happens without a person approving it.
Midgate is in private development. If you are running agents in production and want early access, get in touch.