
Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests. Part of Gen Agent Trust Hub.
Safety for Agents — Agent Detection & Response for AI coding assistants
Sage is a lightweight security layer that protects AI agents from executing dangerous actions. It intercepts tool calls — shell commands, URL fetches, file writes — and checks them against multiple threat detection layers before they run.
Note: Sage may appear under a different product name (e.g., Norton Sage, Avast Sage) depending on how it was installed. See Branding for details.
Visit ai.gendigital.com/sage for the latest installation instructions, or use the platform-specific guides below.
Claude Code — install guide · requires Node.js >= 18
/plugin marketplace add https://github.com/gendigitalinc/sage.git
/plugin install sage@sage
Cursor — install guide · install the Gen Sage extension from the marketplace
VS Code — install guide · install the Gen Sage extension from the marketplace
OpenClaw — install guide · install from npm
openclaw plugins install @gendigital/sage-openclaw
OpenCode — install from npm by adding to ~/.config/opencode/opencode.json:
{
"plugin": ["@gendigital/sage-opencode"]
}
See the User Guide for detailed instructions, configuration, and troubleshooting.
For privacy considerations, please refer to Privacy.
See CONTRIBUTING.md for development setup, coding conventions, and the threat rule contribution process.
Copyright 2026 Gen Digital Inc.
threats/): Detection Rule License 1.1| Document | Description |
|---|
| User Guide | Installation, usage, configuration, exceptions, platform guides, privacy, FAQ |
| Developer Guide | Architecture, development setup, testing, threat rule format |
| Prompt Injection | ML + heuristic prompt injection detection |
| Package Protection | npm/PyPI supply-chain checks |
| AMSI Scanning | Windows antimalware scanning via AMSI |
| Plugin Scanning | Session-start plugin scanning |
| Audit Log | On-disk JSONL schema (entries, signals, content) |
| MCP Server | Shared MCP server architecture |
| Decision Pipeline | Signal sources, policy model, evaluation order |
| Branding | Product name configuration |