The Governed Data Highway for Enterprise AI & MCP
Meynos combines the unified governance of Databricks Unity Catalog with a visual dataset configuration and versioning engine, real-time log-based CDC, and an intelligent Model Context Protocol (MCP) proxy. Stop writing brittle database tools—deliver live, safe context to AI agents.
Meynos Proprietary Moats in Action
Experience the 4 capabilities that make Meynos indispensable for enterprise CISOs and AI engineering teams.
Live CDC Stream Interception
When database rows change, log-based CDC pushes deltas through Meynos inline masking. AI agents get immediate context via standard MCP tool calls or SSE feeds.
// 1. Ingested CDC Event (Origin: PG_WAL)
{
"event_id": "cdc_evt_pg_wal_99104",
"lsn_offset": "0x00018f4a210",
"operation": "UPSERT",
"source_entity": "customer_risk_master",
// 2. Meynos Dynamic Policy & Redaction Evaluation
"evaluated_dataset_config": "dataset_cfg_v1.2_prod",
"masking_enforced": true,
// 3. Output Payload Fed into LLM / MCP Agent
"mcp_resource_payload": {
"entity_id": "CUST-90142",
"risk_score": 0.92,
"customer_ssn": "REDACTED_PII_SHA256",
"available_credit": 25000
},
"audit_receipt_hash": "sha256:0x7e81...ba19"
}The Six Pillars of Meynos AI Governance
From change data capture to external partner leases, Meynos governs every stage of the data-to-agent lifecycle.
The AI Data Highway
Log-based Change Data Capture (WAL / Debezium) streams live enterprise state straight to standardized MCP endpoints without database polling.
Visual Dataset Builder & Versioning
Business & security teams configure row filters, join rules, and column masking visually, auto-generating machine-readable JSON/YAML configs with full version tracking.
Universal Federated Sources
Connect Neon/Supabase Postgres, Apache Iceberg REST catalogs, Delta Lake via DuckDB, Databricks Unity Catalog, and Microsoft Fabric with zero data replication.
Zero-Trust Cross-Org Exchange
Safely share live dataset views with external vendors or partner AI agents via authenticated, time-bound data leases with differential privacy and dynamic redaction.
Agent Blast Radius Budgeting
Enforce dynamic row limits, LLM context token caps, and query recursion bounds so autonomous agent loops never overload infrastructure or leak mass data.
Cryptographic Proof & Time-Travel
Generate tamper-proof signed audit receipts for every MCP tool call, and replay database state at the exact microsecond of agent execution for incident post-mortems.
Why Meynos Replaces Legacy APIMs for AI
Traditional API gateways expect predictable routes; AI agents dynamically select tools and build payloads. Here is how Meynos differs:
| Capability | Unity Catalog (Databricks) | Enterprise APIM (Kong / Apigee) | Meynos Engine |
|---|---|---|---|
| Primary Scope | Lakehouse tables & files | Static REST / GraphQL endpoints | Datasets, Connectors, APIs & MCP Tools |
| Data Versioning | Delta Lake time-travel (tables) | Non-existent (route versions only) | Dataset Config, Schema & Policy Versioning |
| Visual Config Interface | Basic UI / heavy SQL code | Developer portal | Visual + Machine Dataset Definition Engine |
| Cross-Org Sharing | Delta Sharing (lakehouse only) | Static OAuth & API Keys | Audited Dataset Exchange & Expiring Leases |
| AI / MCP Native Proxy | Indirect (via Databricks endpoints) | Basic HTTP routing (context-blind) | Native MCP Interception, Redaction & Guardrails |
| Proof of Execution | Standard metadata logs | Access access logs | Tamper-proof Cryptographic Signed Receipts |
One Core Engine. Two High-Value Enterprise Verticals.
Meynos powers specialized cyber operations and public sector advisory engagements from a single unified control plane.
Meynos captures real-time attack surface shifts, URL sandbox logs, and perimeter deltas via CDC. It strips internal infrastructure credentials and streams clean threat feeds to client SOC dashboards and autonomous investigative AI agents via MCP.
Powers fixed-fee "AI Data Readiness Assessments" for public sector and regulated enterprises. Demonstrates how enterprise databases and lakehouses can be safely queried by LLM agents with deterministic zero-trust leases, token bounds, and audit receipts.
Frequently Asked Questions
Technical architecture and deployment details for enterprise security teams.