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Panguard AI is not a single tool. It is an integrated platform of complementary products, each focused on a specific stage of the security lifecycle. Together they form a closed loop: scan your systems, monitor them in real time, notify the right people, generate compliance reports, and share intelligence across your fleet.

The Product Suite

Scan

60-second security audit with 10 scanners. Produces a risk score (0—100), severity-graded findings, optional PDF reports, and compliance reports (ISO 27001, SOC 2, TCSA).

Guard

24/7 real-time monitoring powered by a 4-agent DARE pipeline (Detect, Analyze, Respond, Report). 10 monitor types, event correlation, automated threat response, and built-in notifications via Telegram, Slack, Email, and Webhook.

MCP Server

Model Context Protocol server exposing 12 Panguard tools to AI assistants like Claude Desktop and Cursor.

Threat Cloud

Collective threat intelligence platform. Every Guard instance contributes anonymized threat data, and every instance benefits from the community’s detections.

Migrator

Convert legacy Sigma + YARA detections into ATR YAML. Community on npm (@panguard-ai/migrator-community@0.1.0 MIT) ships parsers, IR transformer, CLI. Enterprise adds 5-framework compliance auto-mapping (EU AI Act, OWASP Agentic, OWASP LLM, NIST AI RMF, ISO/IEC 42001), signed evidence packs, ATR upstream contribution pipeline.

How the Products Work Together

The products are designed to complement each other in a layered defense strategy:

Architecture at a Glance

Panguard is built as a 18-package TypeScript monorepo managed by pnpm workspaces. All packages share a common @panguard-ai/core foundation that provides the rule engine, monitor engine, AI provider abstraction, i18n, and structured logging.
Each product can run independently. You do not need to deploy the full suite. Start with panguard scan and add products as your needs grow.