Gateplex sits inline between your agents and your production systems. Every tool call is evaluated against your policy set before it executes, blocked server side when it violates, and written to a hash chained audit record your regulator can verify.
Gateplex produces the evidence that answers all three before your auditor asks. Start with a fixed-fee, 30-day Shadow Compliance Audit. No code changes required.
The proxy runs where your workloads run. Agent payloads are evaluated in memory against your rule set and are never forwarded to Gateplex infrastructure. In the air-gapped edition there are no outbound connections at all.
Scope creep, at machine speed
A procurement agent approves a $24,000 vendor contract. Nobody scoped it to sign anything. It reasoned its way there, one plausible step at a time, and every step looked reasonable in isolation.
Customer data does not leak in one dramatic breach. It leaks in fragments: an SSN echoed into a third-party ticketing API, a home address quoted back in a summary, a card number passed to a tool that logs everything it receives.
Each fragment is small. The disclosure obligation is not.
Refunds issued. Terms negotiated. Payments released. Most of it correct, some of it duplicated, and none of it reviewed by a person before the money moved.
The question is not whether the agent was wrong. It is whether you can show who authorized it.
This is the same evaluation order the engine uses in production: rules are matched in sequence, the strictest verdict wins, and an audit record is written before the caller receives a response.
Awaiting call. Toggle policies on the left, then run the simulation.
Enforcement is deterministic. A rule either matched or it did not. There is no model in the decision path to explain away in an audit.
Request a Shadow AuditLive in minutes. We handle infrastructure and updates. EU, US, and GCC/MENA residency options.
Runs entirely inside your AWS, Azure, or GCP account. Agent payloads never cross your perimeter.
Fully self-hosted with no outbound connections. Built for banks and government-adjacent entities.
Article 50 transparency obligations took effect August 2, 2026. Any AI agent interacting with users must now disclose it is AI. Annex III high-risk system obligations follow December 2, 2027. Enterprise procurement cycles run 6 to 12 months, which means the window to be ready opens now, not later. Gateplex delivers tamper-evident audit trails, transparency reporting, and human oversight out of the box.
The agent tooling market splits into distinct categories. We describe those categories rather than publish capability scorecards for other vendors, because their products change faster than any comparison table can stay honest.
Threat centric. Detecting and blocking prompt injection, jailbreaks, and data exfiltration attempts against AI applications.
Quality centric. Evaluating model output, tracing LLM applications, and monitoring drift and performance over time.
Evidence centric. Intercepting each agent action before execution, enforcing business rules, and producing the audit record a regulator or auditor will ask for.
Category descriptions are our own summary of how these products position themselves publicly. They are not capability claims. Verify any vendor against their current documentation before making a buying decision.
A 30-day Shadow Compliance Audit runs against your actual agent traffic with no code changes required. You get the same evidence a regulator would ask for, before they ask for it.
Prefer to explore the API first? Read the docs →