#011 · Compliance Check

MLPS 2.0 Compliance Check Driven by a Baseline-Scanner MCP

A security-ops engineer used AVL Code to invoke antiy-baseline-scanner-mcp with a single natural-language instruction, automatically running a full MLPS 2.0 Level-3 (S3A3G3) security compliance check on a Windows host.

Built with AVL Code + the Landi model

MLPS 2.0Baseline CheckMCP ProtocolCompliance AutomationCompliance Report

Overview

For an MLPS 2.0 Level-3 compliance check on a Windows host, AVL Code executed the whole chain from a single natural-language instruction — tool discovery → standard matching → full scan → result parsing → report archiving — covering 62 check items in 20 seconds and producing an interactive HTML report with 24 findings and remediation guidance, compressing a traditional 3–6 hour manual job into hands-off automated execution.

Key results

Fully covered 62 MLPS 2.0 Level-3 (S3A3G3) check items and pinpointed 24 configuration flaws (8 high-risk, 16 medium-risk)
Attached precise, immediately actionable remediation steps to every finding and auto-generated an interactive HTML report with a compliance-rate dashboard and per-item detail
Ran entirely hands-off, compressing a traditional 3–6 hour manual job into 20 seconds

Technical highlights

Natural-language-driven tool orchestrationPlug-and-play MCP integrationIntelligent context awarenessStructured deliveryAutomatic interactive compliance report

Practical value

Turns MLPS compliance checking from an infrequent manual exercise into a daily one-click routine, enabling continuous compliance monitoring. It also lowers the skill bar so junior ops staff can run professional-grade checks, and its open-ecosystem architecture forms a unified security-automation workbench.

Artifacts

View session Download session import into your workspace for full detail View report

Session replays & reports are original records in Simplified Chinese · Built with AVL Code + the Landi model