Documentation Index
Fetch the complete documentation index at: https://docs.promptguard.co/llms.txt
Use this file to discover all available pages before exploring further.
Shadow AI extends PromptGuard from protecting your AI applications to
protecting your employees from leaking data into the AI tools they use every
day — ChatGPT, Claude, Gemini, Perplexity, Copilot, Cursor, and more.
What it does
When an employee pastes, types, or uploads sensitive content into a public AI tool, Shadow AI inspects it before it leaves the device and applies your policy:- Block credentials, API keys, and secrets.
- Redact PII (SSN, email, phone, card numbers) — masked on-device so the raw value is never transmitted, while the employee still gets help.
- Block prompt-injection / jailbreak payloads.
- Allow normal work, untouched.
Two capture surfaces
Desktop agent (ships today)
macOS & Windows. Inspects LLM API egress at the network layer —
Cursor, IDE assistants, and SDK/API-based tools (anything calling
api.openai.com, api.anthropic.com, Gemini, …).Browser extension (roadmap)
The right surface for consumer AI web apps (ChatGPT, Claude, Gemini in
the browser) + Google Search. Being rebuilt as a hardened, MDM-distributable
extension; not in the current release.
How it fits the platform
Shadow AI is not a separate product — it’s additional surfaces feeding the same engine, policies, and dashboard you already use:Multi-user & deployment
- Fleet enrollment — an admin enrolls many employees’ devices, each with a scoped, revocable credential. See Fleet Enrollment.
- Cloud, hybrid, or air-gapped — run the engine in our cloud or entirely on your own infrastructure, with one common dashboard. See Deployment Modes.