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WMGovernGate™ · LLM Governance

Every LLM Call, Through One Governed Gateway

Agentic AI is only safe if every model call is governed. WMGovernGate™ is the gateway every agent — any model — routes through first: policy enforcement, a destructive-action barrier, per-team token budgets, and a full audit trail before a request ever leaves.

🔒app.wmintelliops.example
WMGovernGate™ — LLM Gateway
Every LLM call from every agent routes through one policy, budget & audit gateway before it leaves
All Teams ▾
＋ New Policy
CALLS TODAY
48.2K
BLOCKED
312
TOKEN BUDGET
71%
POLICY PASS
99.4%
🛡️ Policy Enforcement
Destructive action barrierEnforced
delete / drop / terminate blocked without approval
PII redactionOn
secrets & PII stripped before egress
Model allow-listOn
approved models per team only
Prompt-injection filterMonitor
untrusted content sandboxed
💳 Token Budget · Per Team
SmartOps™
82%
AutoFinOps™
54%
CloudTrack™
91%
Nexus L2/L3
40%
Quotas cap spend per team — a runaway agent hits its budget, not your invoice.
🧾 Audit Trail
CloudTrack™ agent · gpt-model · blocked — attempted resource deletion without approval
Blocked
Every call — allowed or blocked — is logged with team, model, tokens, and policy verdict before the request ever leaves the gateway.
Policy & Guardrails

A barrier in front of every model call

Destructive-Action Barrier

Calls that would delete, drop, or terminate resources are blocked at the gateway unless they carry an explicit human approval — no destructive action slips through a prompt.

Policy-Based Approve / Block

Per-team policies decide what each agent and model is allowed to do — model allow-lists, tool scopes, and content rules enforced consistently.

PII & Secret Redaction

Secrets and PII are stripped before a request ever egresses to a model provider, so sensitive data doesn't leave your boundary.

Budgets & Audit

Spend capped, everything logged

Per-Team Token Budgets

Quota and budget tracking per team caps spend — a runaway agent hits its budget, not your invoice.

Prompt-Injection Filtering

Untrusted content is sandboxed and screened, so injected instructions in fetched data can't redirect an agent.

Full Audit Trail

Every call — allowed or blocked — is logged with team, model, token count, and policy verdict before the request leaves the gateway.

Outcomes

What WMGovernGate™ delivers

Every callPolicy-checked
Per-teamToken budgets
BlockedDestructive actions
FullAudit trail
📈

For the business

CXOs & decision makers
  • Bounded, predictable AI spend — a runaway agent hits a budget, not your invoice.
  • Guardrails that make adopting agentic AI defensible to risk and compliance.
  • PII never leaves your boundary — reduced data-exposure liability.
  • One control point to govern every model, every team.
🛠️

For your engineers

Ops, SRE & platform teams
  • Destructive actions (delete/drop/terminate) blocked without approval.
  • Model allow-lists and tool scopes enforced per team.
  • Prompt-injection filtering on untrusted content.
  • Every call logged with team, model, tokens, and verdict before egress.
FAQs

Questions about wmgoverngate™ (llm gateway)

It is the LLM gateway every WMIntelliops agent call routes through — enforcing policy, a destructive-action barrier, per-team token budgets, PII redaction, and a full audit trail before any request reaches a model provider.

Explore Further

Related capabilities

Human-Approved RemediationThe approval gate the destructive-action barrier ties into.Security & ComplianceGovernance and audit across the platform.AIOps & AutomationThe agents whose calls the gateway governs.
Get Started

See LLM governance in action

Book a demo to see WMGovernGate™ enforce policy and budgets on live agent calls, or start a 7-day free trial.