CoreGate lets AI agents interface with legacy bank systems through deterministic permissioning, audit, kill-switch governance, and bounded action controls — so every action is attributable, non-destructive by default, audited, and instantly stoppable.
AI agents can become that action layer. The technology is ready — permission is not. What blocks agentic AI in a regulated bank is not model quality. It is governance, identity, auditability, and operational risk. No CISO, CRO, or regulator will let an agent touch a core system on the promise that "the model behaves."
An agent deletes, over-mutates, or moves something irreversible — and no one can prove what happened or stop it in time.
"Please don't" is not a control a board can sign off. Guardrails written in English fail silently.
Pilots stall before production because risk, compliance, and audit can't get a structural guarantee.
It sits in front of whatever you already run — core banking, ledgers, ticketing, internal APIs. We do not replace or re-platform your internals: CoreGate wraps approved interfaces, mirrors your identity model, and exposes only bounded actions to agents.
An agent can retrieve customer-case metadata, draft a remediation action, and open a ticket — but cannot move money, delete records, change limits, or write to core without maker-checker release. Every step is identity-scoped, recorded, and stoppable.
Every control is structural — enforced before an action runs, not detected after. CoreGate evaluates the action at the gate and blocks it there if policy denies it.
Agents get an allow-listed set of actions. Destructive operations are disabled at the code path — not policed by prompt.
Agents act under the bank's own ACL-respected principal. They see exactly what that identity may — never more.
Only non-destructive actions run by default. Irreversible or high-risk ones route through maker-checker, dual control, or human release before execution.
Every action is attributed, idempotent, and recorded. Nothing crosses the boundary without redaction.
One global control suspends all agent capability immediately and deterministically, across every connector.
Together, the five give a bank the control evidence it needs before agents touch systems of record. The limits are enforced in code, not asked for in a prompt.
CoreGate runs inside the bank-controlled environment. Agent requests are mediated locally; secrets and sensitive payloads do not need to leave the bank boundary.
We did the hard version: a bounded agent interface where agents got real capability and the dangerous actions were made structurally impossible. For external evaluations — and to protect every client's confidentiality — a neutral, clean-room reference connector is being prepared, so a serious evaluator can see the same guarantees end to end, without exposure to any client-derived system. We will show it under a scoped walkthrough.
| KillGate guarantee | How the pattern enforces it |
|---|---|
| Bounded capability | Destructive operations are disabled at the code path in both the command and agent interfaces; they refuse and make no call. Capability is retained behind a deliberate re-enable. |
| Identity mirroring | Agents act under the system's canonical actor identity, so access-controlled data is visible only to those entitled — no token-claim escalation. |
| Provenance & audit | Provenance headers, idempotency keys, and request IDs on every write; a redaction gate ensures only bounded values ever leave the machine. |
| Read-by-default | All read paths work without write authority; writes are explicit, confirmed, and paged-capped to protect the system of record. |
Not a slide. A live sequence against one approved system, with seeded identities and a real audit trail — the whole decision in one sitting.
An AI agent requests a bounded action against one approved system.
The request is evaluated against identity, capability, and policy before anything runs.
A safe read path succeeds — scoped to exactly what that identity may see.
A destructive or out-of-scope action fails before it reaches the system.
A high-risk action routes to maker-checker approval / human release.
A full audit trail: actor, agent, request ID, idempotency key, and decision.
One global kill switch suspends all agent capability immediately — across every connector, deterministically. That switch is the whole decision.
Priced as risk-reduction infrastructure for the enterprise — not as a utility. Every engagement begins with a paid, scoped pilot that ends in a demo to your risk and compliance teams.
A fixed-fee paid pilot: one system, one or two workflows, with audit trail, kill switch, and identity mapping — ending in a demo to your risk and compliance teams. 6–10 weeks. Pilot fees credit toward the first production year.
Production licensing and enterprise control-plane pricing are scoped by systems, connectors, audit requirements, and deployment model. We share the full pricing model in the scoping conversation.
Pick one legacy system and one workflow. In weeks, your risk and compliance teams will watch AI agents operate it — and watch a single switch shut it all down. That demo is the whole decision.