Governing the AI Token Economy

This white paper draws on the fifth working session of the AI Security Council, where security leaders from Western Union, JPMorgan Chase, AcceleTrex, and Quantum Flex Solutions examined how token budgets, commits, and consumption monitoring are becoming security's next governance surface, and what happens when the workloads those tokens fund begin to act on their own.

What You'll Learn

• Why token commits are the new cloud commits, and why security belongs in that negotiation
• How practitioners monitor and allocate AI spend without becoming the department of no: monitor, don't ration
• Where enterprise tokens are actually going, from a $5,000 in-house AI pen-testing service to full agent ecosystems
• Why platform approval doesn't equal model approval, and how to keep the cheapest model from becoming the default
• How decades of PAM discipline apply to agents: autonomy as a privilege earned per use case, not a product feature
• Why "available but wrong" is the new reliability problem, and what correctness-aware availability requires
• The five-level Token Governance Maturity Model and the seven-step Council Framework for governing the AI token economy

Download the white paper to see how practitioners are making AI spend and AI action explainable under scrutiny, while the meter is running.