Pillar 01 · Enterprise AI Governance

Shadow AI & Trade Secret Protection

Your people are already using AI. The question is whether your source code, trade secrets and material non-public information are going into consumer chatbots along with it — and whether any of it is an unbounded agent nobody classified.

Core services

Protecting IP from unvetted employee AI use.

Shadow AI is rarely malicious — it is a motivated employee reaching for a faster tool. Policy that is understandable and enforceable beats a prohibition nobody reads.

01

AI Acceptable Use Policies

Handbook addenda defining approved tools, input-data classification rules, and strict prohibitions on pasting source code, trade secrets or MNPI into consumer LLMs.

02

Approved Tool Registries

Auditing data egress and establishing clear white/blacklists of enterprise-grade AI tools.

03

AI Literacy Compliance

Role-based training frameworks designed to satisfy emerging AI literacy mandates, including the EU AI Act.

04

Trade Secret Hygiene

Preserving trade secret status when information has been exposed to third-party model providers.

05

Incident Playbooks

What to do the day you learn a confidential document was pasted into a public model.

06

Board Reporting

Translating shadow-AI exposure into terms a board can actually act on.

Talk to Steve.

A short, confidential conversation is usually all it takes to know your next step.

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