meilynx
AI compliance for AI solution providers · Finance · Healthcare · HR

Clear the AI risk review.Ship AI faster.

Every AI call checked. Every decision provable.Meilynx sits in front of the models, agents, and tools your teams use, and keeps one record your risk team, your buyers and your examiners can verify.

See pricing

Works with your AI stack

  • OpenAI
  • Anthropic
  • Google Gemini
  • Azure OpenAI
  • DeepSeek
  • Mistral AI
  • Groq
  • xAI
  • Model Context Protocol
  • Okta
  • Microsoft Entra ID
What Meilynx governs

Models, agents, and the traffic you cannot see.

AI leaves your building on three paths. Meilynx sits on all of them and writes every decision to one record.

01 · Model traffic

Prompts and responses

Calls to OpenAI, Anthropic, Google, and Azure OpenAI pass through the proxy, where policy runs on the content of each request and reply.

  • PII and MNPI detection with block or warn; PHI redacted in flight
  • Model allow-lists and budget caps per team
  • Prompt-injection and jailbreak screening
Inline enforcement

02 · Agents and tools

Tool calls and MCP actions

Tool calls are inspected at the boundary they cross. Drift from an approved baseline is flagged and high-risk actions wait for a second approver.

  • Tool allow and deny lists per agent
  • Drift detection on prompts and tool grants
  • Two-party approval for consequential actions
Agent governance

03 · Shadow AI

Traffic that bypasses the governed path

Connect a provider's admin account and Meilynx compares what the provider billed with what came through the proxy. The gap is your bypass rate, per provider.

  • Bypass rate scoped to the access you grant
  • Method disclosed on every number
  • Sealed into the same audit chain
Coverage measurement
Beyond enforcement

From the AI call to the examiner's desk.

Stopping a risky call is one step. Meilynx also keeps the record, ties it to the rule it answers, and hands it to the people who review your AI.

Financial services

An AI agent tries to move money.

Your policy holds the payment until a person approves it.

The examiner sees the request, the hold and the approval in one record.

Healthcare

A clinician pastes a patient note into an AI assistant.

Patient identifiers are removed before the model sees the text.

Your privacy officer can show what reached each AI vendor.

HR and employment

A screening tool uses an LLM to rank candidates.

Every call is recorded with the policy that applied.

Your annual bias audit starts from a complete record.

AI solution providers

A bank's risk team asks how your AI handles its data.

Meilynx enforces policy on your product's AI traffic.

You send a record their reviewers can verify on their own.

How reviewers verify the record on their own
Who it is for

Built for the teams that answer for AI.

AI solution providers first, and the banks, insurers, health systems, and employers that answer to examiners for the AI they build and buy.

Why Meilynx

The control point and the evidence, in one system.

Shaped to the rules of each regulated industry: MNPI walls, PHI handling, hiring-AI audits, and the vendor reviews in between.

What regulated industries needMeilynxAI gateways and AI securityGRC and compliance automation
Checks every AI call before it leaves your environmentYesYes
Agent and MCP actions governed under the same policiesYesPartial
MNPI and client-data screening for financial servicesYesPartial
Patient identifiers redacted before a model sees themYesPartial
Supervision records for AI-drafted communicationsYesPartial
Evidence for hiring-AI bias auditsYesPartial
A model inventory built from live trafficYesPartialPartial
Native support for the AI vendor and buyer review processYesPartial
Evidence an outside reviewer can verify on their ownYesPartial
An examination package in your regulator's termsYesPartial
What it does

Comply. Govern. Optimize.

Evidence, control and cost in one platform. A 30-minute demo shows it on your own traffic.

01 / Comply

Evidence an examiner will accept.

Every AI decision and human review is kept in one record your examiners can verify, mapped to the rules they cite.

  • A record auditors can verify on their own
  • Examination packages for the frameworks you answer to
  • Six-year retention for books and records
  • Reviewer sign-off and remediation tracking
Compliance / Overview

Compliance score

92/100

3 controls pending

Controls evaluated

32/35

proxy-verified 24 · attested 8

Open violations

0

0 critical

Framework postureAll frameworks →
  • NYDFS 23 NYCRR 50094/100
    17/18 controls1 pending
  • FINRA 24-0991/100
    11/12 controls1 pending
  • SOC 2 Type II88/100
    12/14 controls2 pending
  • Insurance AI (NAIC)82/100
    14/17 controls3 pending

02 / Govern

Stop risky AI use before it happens.

Sensitive data, unapproved models and unsafe agent actions are stopped before a request leaves your organization.

  • Client data and MNPI blocked or flagged in real time
  • Approved models and tools only, per team
  • Prompt-injection screening on every call
  • New policies tested safely before they go live
Govern / Findings

Findings (24h)

27

trailing 24 hours

Blocked

9

refused by policy

Redacted

12

PHI spans masked in flight

Held for approval

2

awaiting second approver

WhenModelCategoryRuleAction
09:41:07gpt-4.1pii-detectionSSN pattern in user messageBlocked
09:40:52claude-sonnet-4secretsAPI key in model outputBlocked
09:38:19gpt-4.1-minimnpi-keywordDeal codename in promptWarned
09:36:44agent · reconciletool-grant-driftwire_transfer outside baselineHeld
09:35:02gemini-2.5-prosafety-scanJailbreak phrasingWarned

03 / Optimize

AI spend tied to business results.

See what each team's AI costs, what it delivers, and the risk it carries.

  • Cost per business outcome, by team and application
  • Budgets with hard caps for every team
  • Alerts when spend or reliability changes
Economics / Cost and outcomes

AI spend, month to date

$12,840

↓ 8% vs last month

Cost per outcome

$7.06

↓ 12% vs last month

Budget used

64%

hard cap at $20,000

Cost by workflow$ per outcome
  • chat-support
    $14.04
  • doc-summary
    $9.12
  • code-gen
    $6.28
  • search
    $4.09
Anomalydoc-summary cost up 34% against baseline

Single-tenant by design

Raw prompts never leave your boundary.

Architecture for security reviewers
Coverage by region

What applies where.

US federal and state rules, the EU framework, and the international standards auditors fall back on. Controls map to named regulations, not to compliance in the abstract.

From the blog

Latest thinking.

Notes on AI governance: examination posture, policy enforcement, and what regulators are asking.

View all posts →
Ready to evaluate Meilynx?

See it on your own traffic.

A 30-minute demo on live data. You leave with an AI compliance plan for your organization.

Regulatory updates

When a regulator changes what an AI examination asks for, hear about it first.

Short notes on SR 26-2, NYDFS 500, FINRA, the NAIC bulletin, the EU AI Act, and the employment-AI statutes, plus what we ship. A few emails a month.