Shadow AI detection
Shadow AI — unsanctioned use of AI tools by employees — is the fastest-growing blind spot in enterprise security. Without detection, security teams cannot assess or mitigate the risk. PromptWall provides discovery, classification, and governance for every AI interaction.
The scope of the problem
Enterprise employees use an average of 3–5 different AI tools without IT approval. ChatGPT, Claude, Gemini, Perplexity, Copilot, and dozens of AI browser extensions create unmonitored data exfiltration channels. Each interaction is a potential data leak — and security teams have zero visibility.
The challenge is not that employees are acting maliciously. Most shadow AI usage improves productivity. The problem is that sensitive data in AI prompts — customer PII, source code, credentials, and internal documents — leaves the organization without any security inspection.
Discovery and classification
PromptWall discovers AI usage across three surfaces:
- Browser — Chrome extension monitors interactions with web-based AI tools (ChatGPT, Claude, Gemini, Perplexity, and custom web apps).
- Editor — VS Code and Cursor integrations capture Copilot, inline completions, and AI-assisted coding workflows.
- CLI / API — Local proxy captures
curlrequests, Python scripts, and any programmatic AI API usage.
Each interaction is classified by AI provider, data sensitivity, user identity, and policy compliance.
Risk-based classification
Not all shadow AI is equal risk. PromptWall classifies each interaction and applies appropriate governance:
60% of interactions
Low Risk
Allow with inspection
Code refactoring, documentation drafts, learning queries
25% of interactions
Medium Risk
Allow with DLP controls
Customer-related queries, internal process questions, data analysis
15% of interactions
High Risk
Restrict or block
PII-containing prompts, proprietary code, credentials
From detection to governance
Discovery is step one. The real value is governance — moving from "we don't know what's happening" to "every AI interaction is inspected and governed." PromptWall enables a graduated response:
- Discover — Identify all AI tools in use, usage patterns, and data sensitivity profiles.
- Assess — Classify usage by risk level. Quantify data exposure with PII detection metrics.
- Govern — Approve low-risk tools with inspection. Apply DLP controls for medium-risk. Restrict or block high-risk usage.
- Monitor — Continuous monitoring with SOC integration ensures governance stays effective over time.
What security teams see
The shadow AI dashboard provides real-time visibility into:
- Total AI interactions by provider (ChatGPT, Copilot, Claude, etc.)
- Sensitive data exposure rate (percentage of prompts containing PII)
- Top users by interaction volume and risk level
- Unapproved AI tools detected in the organization
- Policy violation trends over time
- Compliance posture for audit requirements
Discover shadow AI in your org
Deploy PromptWall to discover how AI is being used across your organization.
Frequently asked questions
What is shadow AI?+
Shadow AI refers to AI tools used by employees without formal IT or security team approval. This includes personal ChatGPT accounts, browser-based AI tools, unauthorized Copilot installations, and third-party AI plugins. Like shadow IT, shadow AI creates unmonitored data channels that bypass security controls.
How does PromptWall detect shadow AI?+
PromptWall's browser extension and endpoint agent detect AI interactions across web-based AI tools, editor extensions, and CLI usage. Each interaction is logged with the AI provider, user identity, prompt content, and risk classification — giving security teams complete visibility.
Should I block all shadow AI?+
No. Blocking all AI usage reduces productivity and pushes employees to find workarounds. The best approach is discover → classify → govern: find shadow AI usage, assess its risk, and apply appropriate controls (allow with inspection, restrict providers, or block specific data types).
Continue reading
AI Usage Policy Enforcement
Automate governance after discovery.
DLP for Copilot & ChatGPT
Protect the most popular AI tools.
Sensitive Data in AI Prompts
The hidden enterprise risk.
Shadow AI Risk Assessment
Step-by-step playbook for your org.
AI Governance Framework
Build governance around AI usage.
