Lightweight Agent Detection & Response (ADR) layer for AI agents — guards commands, files, and web requests. Part of Gen Agent Trust Hub.

Sage

Safety for Agents — Agent Detection & Response for AI coding assistants

Sage blocking a dangerous command in Claude Code

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.

Key Features

URL reputation — cloud-based detection of malware, phishing, and scam URLs
Local heuristics — 300+ YAML-based threat patterns for dangerous commands, suspicious URLs, credential exposure, and obfuscation
Prompt injection detection — two-tier defense (heuristics + fine-tuned ML model) against injected instructions in fetched content. See Prompt Injection
Package supply-chain checks — registry existence, file reputation, and age analysis for npm/PyPI packages
Plugin scanning — scans installed plugins for threats at session start
AMSI integration — Windows Antimalware Scan Interface support (Windows + WSL via PowerShell interop; no-op on macOS and non-WSL Linux)

Quick Start

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.

Privacy

For privacy considerations, please refer to Privacy.

Documentation

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

Contributing

See CONTRIBUTING.md for development setup, coding conventions, and the threat rule contribution process.

License

Source code: Apache License 2.0
Threat detection rules (threats/): Detection Rule License 1.1