Tracks/Track 11 — AI Operations & Governance/11-14
Track 11 — AI Operations & Governance

11-14: Shadow AI Discovery

How uncontrolled employee access to unauthorized LLMs accelerates IP leakage, and how to execute an enterprise "Shadow AI" sweep.

1 Lessons~45 min

🎯 What You'll Learn

  • Audit network traffic for unauthorized API usage
  • Quantify proprietary IP leakage risk
  • Provide secure, managed "Golden Paths"
Free Preview — Lesson 1
1

The Leaky Perimeter

Employees will always find the path of least resistance. If the enterprise bans ChatGPT but provides no secure alternative, engineers will bypass the firewall to paste proprietary code into external tools to get their jobs done.

Shadow AI is a massive liability not just for data leakage (sending PRs to public models that train on them) but also for copyright contamination (employees pasting AI-generated code from unauthorized sources into the corporate repo).

The only effective security strategy is "Secure Enablement"—deploying a private, walled-garden instance of Claude or ChatGPT Enterprise that guarantees zero-training retention and pushing users toward it via SSO.

Unauthorized Prompt Volume

The estimated number of times employees bypass security to use public LLMs.

Must be driven to zero
Private Instance Adoption Rate

Percentage of staff actively using the approved, governed internal GenAI portal.

Target: > 70% monthly active
📝 Exercise

Execute a Shadow AI network discovery audit.

Execution Checklist

Action Items

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Telemetry Stream
Inference Architecture
01import { orchestrator } from '@exogram/core';
02
03const router = new AgentRouter({);
04strategy: 'COST_EFFICIENT_SLM',
05fallback: 'FRONTIER_MODEL'
06});
07
08await router.guardrail(payload);
+ 340%

Module Syllabus

Lesson 1: The Leaky Perimeter

Employees will always find the path of least resistance. If the enterprise bans ChatGPT but provides no secure alternative, engineers will bypass the firewall to paste proprietary code into external tools to get their jobs done.Shadow AI is a massive liability not just for data leakage (sending PRs to public models that train on them) but also for copyright contamination (employees pasting AI-generated code from unauthorized sources into the corporate repo).The only effective security strategy is "Secure Enablement"—deploying a private, walled-garden instance of Claude or ChatGPT Enterprise that guarantees zero-training retention and pushing users toward it via SSO.

15 MIN
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