Shadow AI
Definition
The unsanctioned, unmonitored use of artificial intelligence tools and autonomous agents by employees within an enterprise, bypassing IT security, access controls, and compliance protocols.
Why It Matters
Shadow AI introduces massive data exfiltration and compliance risks. When internal developers connect rogue LLMs to enterprise databases via undocumented internal tools, there is no audit log and no governance. The enterprise cannot manage risk it cannot see.
How Exogram Addresses This
By centralizing AI execution governance, enterprises can mandate that all internal tools and APIs require an Exogram cryptographic execution token. Even if an employee spins up a Shadow AI agent locally, it physically cannot execute write operations against enterprise infrastructure without producing an audit trail and passing policy validation.
Is Shadow AI vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees