Non-deterministic by nature
The same prompt returns different output every time. You can't sign off once and assume it holds — every call is a new decision that has to be governed and recorded.
AI compliance platform · Financial services
Prove your AI is compliant.To any examiner.
From prompt to examiner — one audit chain. The end-to-end AI compliance system for finance: inline policy enforcement, agent and MCP governance, and a tamper-evident audit trail — inside your perimeter.
Direct control mapping:SR 11-7NYDFS 23 NYCRR 500FINRA 24-09MNPI & PII detectionmodel risk inventory
AI traffic interception · proxyready
prompt → "
Custom policies
organizational rules · allow/deny
PII / MNPI
detect · redact at request layer
Agent / MCP interception
tool calls · agent calls inspected
Budget
per-project|customer|department cost enforced
LLM provider
Anthropic · OpenAI · Azure
downstream
tamper-evident audit chain
every request sealed & hash-linked — even blocked ones
allowed
9f3a1cblocked
7e02b4Examination package
sealing…
One proxy in front of every provider you run
OpenAI
Anthropic
Google
Azure OpenAI
What makes AI traffic unique
A regulated data flow nothing in your stack was built to govern.
Every prompt and response is a new, non-deterministic decision that carries your most sensitive data across a third-party boundary. Your existing controls weren't designed to see it — let alone prove what happened to an examiner.
Your most sensitive data, across a trust boundary
MNPI, client identifiers, and account data flow into prompts and out in responses — handed to a third-party model outside your walls on every call. Who saw what, and what came back, is exactly what an examiner asks.
Agents now act on their own
Tool calls, retries, and sub-agents take actions no human reviewed. Each one is a decision you have to be able to reconstruct and explain after the fact.
Your existing controls can't see it
DLP sees files, SIEM sees logs, APM sees latency. None of them read the prompt-and-response semantics where the actual risk — and the actual evidence — lives.
AI traffic is a regulated data flow — and examiners have started asking about it.
SR 11-7 now reaches model risk in LLMs; NYDFS 500 and FINRA 24-09 expect a record of what your AI did and how it was governed. Nothing in the standard stack produces one.
What it does
Comply. Govern. Optimize.
Three integrated capabilities, one deployment — enforcement, evidence, and cost control at the proxy, inside your dedicated infrastructure. Panels below are mocked from real product surfaces; book a 15-minute walkthrough to see live data.
01 / Comply
Evidence an examiner will accept.
Every request, response, policy decision, and human review is captured to immutable storage in your environment — controls map directly to named regulations, not generic best practice.
- Tamper-evident, hash-chained audit trail — examiner-verifiable, not screenshots
- Curated examination packages — SR 11-7 · NYDFS 500 · FINRA 24-09 · SOC 2
- 6-year WORM retention floor (Fully Managed, FINRA 24-09)
- Reviewer & sign-off workflows with remediation tracking
compliance · posture & audit chain
- SR 11-7model inventory · controlsMet
- NYDFS 500§500.6 audit trail evidenceMet
- FINRA 24-09Rule 4511 · supervisionMet
- SOC 2 Type Iaudit engagedIn review
seq 1042
seq 1043
seq 1044
hash-linked · WORM archive · examiner-verifiable
02 / Govern
Policy enforcement at the request layer.
Every prompt and response is inspected in flight — block, redact, or log based on policy, per team, per app, per model.
- Model allow / deny lists and token limits per workflow
- Built-in governance rules — PII · MNPI detection, model access, cost, agent safety, schema — extensible via WASM and webhook validators
- Prompt injection & jailbreak screening
- Real-time cost caps · draft, review, and publish with shadow mode
governance · live intercept log
- PROMPTPII detectedSSN pattern in user messageBLOCKED
- RESPONSEData leakage blockedAPI key exposed in model outputBLOCKED
- PROMPTHarmful contentPolicy violation · jailbreak attemptBLOCKED
- RESPONSEOff-topic driftResponse outside allowed scopeWARN
03 / Optimize
Cost tied to outcomes and risk.
LLM spend correlated to business outcomes and compliance events in a single view — risk-adjusted spend by team, app, and model, not just raw token bills.
- Cost analytics tied to business outcomes, not just token counts
- Per-team budgets with hard caps — every dollar attributed before month-end
- AI health monitoring with anomaly detection
- Custom KPIs by workflow, team, and customer segment
analytics · cost & outcomes
AI spend / mo
$12,840
↓ 8%
Success rate
94.2%
↑ 2.1%
Cost / outcome
$7.06
↓ 12%
cost by workflow $/outcome
- chat-support$14.04
- doc-summary$9.12
- code-gen$6.28
- search$4.09
Anomalydoc-summary cost +34% vs. baseline
What makes Meilynx unique
Examiner-grade, not log-grade.
Most tools can log what your AI did. Meilynx proves it — with a tamper-evident record an examiner can independently verify, inside infrastructure that is yours alone.
| Capability | Meilynx | DLP / CASB | SIEM / log export | Build it yourself |
|---|---|---|---|---|
| Inline enforcement at the request layer — before the call leaves your perimeter | Yes | Partial | Partial | |
| Reads prompt & response content — PII and MNPI, not just files or metadata | Yes | Partial | Partial | |
| Tamper-evident WORM record — not just a log export | Yes | |||
| Curated examiner packages — SR 11-7 · NYDFS 500 · FINRA 24-09 · SOC 2 | Yes | |||
| Integrity an outside auditor can re-verify, independently | Yes | |||
| Per-customer isolated infrastructure — never shared with another institution | Yes | Partial | Partial |
Category comparison, not a product-by-product rebuttal. Most tools can log what your AI did; the bottom three rows are where examination evidence is either produced — or it isn't.
Isolation by design
Your data never shares a boundary.
Your proxy runs inside infrastructure dedicated to your organization. Raw prompts and responses never leave your perimeter — only hashed metadata does, never payload. Your financial data never sits alongside another institution's. That isn't a setting; it's the architecture.
Verify us — don't take our word
Integrity you can re-check yourself.
The audit trail is tamper-evident and its integrity is independently verifiable. An examiner or your own auditor can re-compute the hash chain with an open verifier, at any time — the proof doesn't depend on trusting Meilynx.
Architecture
Two planes. One trust boundary.
Each customer gets a dedicated data plane managed by us inside isolated per-customer infrastructure, or run by you on your own. Either way it owns your audit trail. The control plane is a shared SaaS that distributes signed governance bundles and aggregates telemetry metadata — never raw payload. The proxy is going Apache 2.0 at SOC 2 GA; the binary you run is the binary you can read.
Your environment
Managed or self-hosted · isolated either way
Application
Your apps & agents
Meilynx Proxy
Validators · streaming · audit emission
Audit Trail
WORM archive · hash chain · examination export
Raw prompts & responses never leave this boundary.
Per-customer isolated data plane in every deployment mode
Telemetry
metadata
Bundles
policy-as-code
Meilynx control plane
Managed SaaS
Policy authoring
Signed bundles · policy-as-code
Compliance console
Posture · waivers · examination packages
Telemetry rollup
Metadata only · token counts · rule outcomes
No raw payload data ever reaches the control plane.
Deployment modes
Same isolation. Different operator.
Fully Managed or Self-Hosted — the data-plane isolation invariant holds in both. The difference is who operates the infrastructure.
| Dimension | Fully Managed Meilynx operates per-customer infrastructure · ~1 day | Self-Hosted Customer operates everything · 1–2 weeks |
|---|---|---|
| WORM immutability | Retention-locked object storage Live | Customer-managed object storage Customer |
| Retention floor | 6 yr prod · 30 d staging · 1 d test (FINRA 24-09) Live | Customer-set (proxy default: 90 d) Customer |
| Encryption at rest | AES-256-GCM + per-customer CMEK Live | Customer-managed Customer |
| Integrity Pack | Included Live | Customer-operated Customer |
| Verification surface | Hash chain · examiner-verifiable Live | Hash chain · customer-operated Customer |
| Proxy operated by | Meilynx Live | Customer Customer |
By the numbers
Added latency
<1ms
Built-in rules (regex, token, schema); guard models and webhooks run on configurable budgets
Live providers
4
OpenAI · Anthropic · Google · Azure OpenAI
WORM retention floor
6yr
FINRA 24-09 · Fully Managed production · tamper-evident archive
Change to deploy
1env var
No SDK swap, no app rewrite · ~1 day managed, 1–2 weeks self-hosted
Outcomes by role
Built for the people who answer to examiners.
Concrete artifacts you can hand to a regulator, an examiner, or a board — not slideware.
CISO
Tamper-evident audit chain. Examiner-ready evidence, not screenshot collections.
Audit chain
CCO
Curated examination packages — SR 11-7 · NYDFS 500 · FINRA 24-09 — assembled from live traffic, ready to hand over.
Examination package
Model Risk
Auto-generated SR 11-7 model inventory with ownership and control mapping, from live traffic.
Model inventory
CFO
Per-team budgets with hard cost caps. Every dollar attributed before month-end.
Budget caps
Regulation coverage
Built for financial services.
Controls map directly to named regulations — not generic best practice.
Available as presets today
Curated control bundles ship in the product. Drop in, scope to your environment, go.
SR 11-7NYDFS 23 NYCRR 500FINRA 24-09SOC 2 Type II
Also enforceable via the policy engine today
The policy engine already enforces these control sets. Scope them to your environment with your compliance team.
HIPAA Technical SafeguardsEU AI ActISO 42001NIST AI RMF
Who we serve
BanksBroker-dealersFintechAsset managersHedge fundsInsurance
Trust & compliance posture
SOC 2 Type I· Audit engaged
GDPR
Open source proxy· Apache 2.0 · at SOC 2 GA · source access under NDA
Data residency· Per-customer isolated
Ready to evaluate Meilynx?
Take control of your production AI.
See how Meilynx gives your team full visibility, real-time governance, and data privacy — in one 15-minute walkthrough.
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