AI Security Wiki GitHub

Home / Domain Standards / Browser AI Security Standard

Browser AI Security Standard

Purpose: Set security requirements for users accessing browser-based AI platforms such as public or enterprise generative AI services.

Audience: Security engineering, DLP teams, endpoint teams, SOC, AI users, compliance.

Control Area Control ID Weight Required Evidence
Discovery and Visibility AI-CTRL-001 15% AI service inventory, user activity reports, device attribution
Prompt Inspection AI-CTRL-002 20% Sensitive prompt detection logs and policy outcomes
File Upload Inspection AI-CTRL-003 15% Upload inspection test results and block/warn evidence
Policy Enforcement AI-CTRL-010 15% Allow, alert, warn, mask, redact or block policy evidence
Auditability AI-CTRL-008 15% User, device, AI platform, prompt and file upload logs
Platform Coverage N/A 10% Browser and OS support matrix
Operational Impact N/A 10% Deployment notes, performance observations, administrative effort

Minimum Requirements

  • Discover AI platforms accessed from managed endpoints.
  • Identify users, devices and browser context.
  • Inspect prompts where technically feasible.
  • Inspect uploaded files including documents, spreadsheets, PDFs, images and code files where technically feasible.
  • Apply classification-aware monitor/warn/redact/block controls.
  • Generate investigation-ready audit records.
  • Forward AI security events to SOC/SIEM.

PoC Tests

  1. Upload confidential document to public AI platform.
  2. Paste architecture details into AI prompt.
  3. Upload source code to AI chatbot.
  4. Attempt upload of classified information.
  5. Access newly emerging or previously unknown AI website.

Audit Evidence

  • AI service inventory export.
  • Screenshots of policy enforcement decisions.
  • Logs showing user, endpoint, browser, AI site, action and timestamp.
  • SIEM event ID or SOC alert reference.