What is shadow AI costing my organization?

Shadow AI — unauthorized AI agents deployed by employees without IT governance — costs enterprises an average of $4.2M per data breach incident, and 60% of organizations report having no visibility into which AI tools their employees are using.

Shadow AI manifests in three forms:

• Unsanctioned tools: Employees using ChatGPT, Claude, or custom AI agents for work without IT approval — feeding confidential data into uncontrolled systems
• Ungoverned agents: Developer-built AI agents in production without security review, running with personal API keys and admin-level database access
• Invisible integrations: MCP connections, browser extensions, and Zapier-style automations that connect AI models to production systems without governance

The cost is compounding: data exposure risk (Samsung employees leaked proprietary code to ChatGPT), compliance violations (GDPR, SOC 2 breaches from ungoverned data processing), duplicated effort (multiple teams building the same AI capabilities independently), and incident liability (who's responsible when an unauthorized agent deletes production data?).

Exogram provides organizational visibility through the Trust Ledger. Every agent action — authorized or not — is captured, evaluated, and logged. Shadow agents are detected by their lack of governance tokens. The goal: bring every AI agent under deterministic governance, whether it was sanctioned or not.