From prompt to examiner, one audit chain. Meilynx sits in front of every model, agent, and tool your teams use. It enforces policy inline, records each decision, and turns that record into the evidence an examiner asks for.
Controls mapped to the frameworks your examiners cite
All frameworksPresets ship in the product. NIST AI RMF are enforceable through the policy engine today, scoped with your compliance team.
AI leaves your building on three paths. Meilynx sits on all of them and writes every decision to one record.
01 · Model traffic
Calls to OpenAI, Anthropic, Google, and Azure OpenAI pass through the proxy, where policy runs on the content of each request and reply.
02 · Agents and tools
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.
03 · Shadow AI
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.
Financial services first, then the industries whose regulators have started asking the same questions.
Examination
Banks, broker-dealers, asset managers, and fintechs that answer to bank and securities examiners.
CCO · CISO · Head of Model Risk
Market-conduct examination
Carriers, reinsurers, and MGAs building an AI program under the NAIC bulletin and state insurance departments.
CCO · CISO · Chief Actuary
OCR audit and state disclosure
Health systems, physician groups, payers, and digital-health teams using AI in care and patient communication under HIPAA, HHS, ONC, and the state AI laws.
CCO · CISO · CMIO
Bias audit and notice
Employers and HR technology teams using AI in hiring, screening, and promotion decisions.
CHRO · General Counsel · CISO
Enforcement, evidence, and cost control from one proxy in your own infrastructure. The panels are drawn from real product surfaces; a 15-minute walkthrough shows them on your own traffic.
01 / Comply
Each request, response, policy decision, and human review lands in write-once storage in your environment, and each control maps to a named regulation.
Compliance score
92/100
3 controls pending
Controls evaluated
32/35
proxy-verified 24 · attested 8
Open violations
0
0 critical
02 / Govern
Prompts and responses are inspected in flight and blocked, masked, or logged by policy, per team, per app, and per model.
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
| When | Model | Category | Rule | Action |
|---|---|---|---|---|
| 09:41:07 | gpt-4.1 | pii-detection | SSN pattern in user message | Blocked |
| 09:40:52 | claude-sonnet-4 | secrets | API key in model output | Blocked |
| 09:38:19 | gpt-4.1-mini | mnpi-keyword | Deal codename in prompt | Warned |
| 09:36:44 | agent · reconcile | tool-grant-drift | wire_transfer outside baseline | Held |
| 09:35:02 | gemini-2.5-pro | safety-scan | Jailbreak phrasing | Warned |
03 / Optimize
LLM spend alongside the business outcomes and compliance events it produced, by team, app, and model.
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
Your data plane runs in single-tenant infrastructure dedicated to you, and it owns the audit trail. The shared control plane distributes signed policy bundles and receives hashed metadata, never raw payload.
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
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.
No shared data plane, no pooled storage, no other institution's traffic in your boundary. Fully Managed or Self-Hosted, the isolation is the same; the difference is who runs the infrastructure.
| Dimension | Fully Managed Meilynx operates per-customer infrastructure · ~1 day | Self-Hosted Customer operates everything · 1 to 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, p95
<0ms
Measured under load with the full detection stack running
Requests in the load test
0.0M
August 2026 campaign, zero failures
Retention floor
0yr
Write-once archive in Fully Managed production, per FINRA 24-09
Change to deploy
0env var
No SDK swap and no rewrite. About a day managed, one to two weeks self-hosted
Logging what your AI did is table stakes. Meilynx proves it, with a record an examiner can verify on their own and evidence that comes from live traffic rather than last quarter's document.
| Capability | Meilynx | DLP / CASB | SIEM / log export | Build it yourself |
|---|---|---|---|---|
| Enforces policy inline, before the call leaves your perimeter | Yes | Partial | Partial | |
| Reads prompt and response content, including PII and MNPI | Yes | Partial | Partial | |
| Write-once, tamper-evident record rather than a log export | Yes | |||
| Curated examination packages per framework | Yes | |||
| Integrity an outside auditor can re-verify on their own | Yes | |||
| Detects agent drift and gates high-risk actions behind a second approver | Yes | Partial | ||
| Single-tenant data plane per customer and environment, never pooled with another institution | Yes | Partial |
A category comparison, not a product-by-product rebuttal. Most tools can log what your AI did. The rows below the first two are where examination evidence gets produced, or does not.
You can check the record yourself. An examiner or your own auditor can recompute the hash chain with an open verifier at any time. The proof does not depend on trusting Meilynx.
Independent verificationUS 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.
Trust & compliance posture
Notes on AI governance: examination posture, policy enforcement, and what regulators are asking.
Meilynx completed an independent, authenticated penetration test of the proxy in August 2026. What was tested, what was found, and how to read the report.
Yes. Supervision, recordkeeping, and communications obligations attach the moment an AI-drafted message reaches a client. Here is what that means in practice.
A decade-old bank questionnaire most large tech vendors already answer every year now has AI governance built in, and most AI companies haven't seen it coming
A 15-minute walkthrough of inline enforcement, the audit chain, and the examination package, on live data.
No commitment. Response within one business day.
Regulatory updates
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.