Introducing Execution Governance Infrastructure
A new category of infrastructure is emerging at the intersection of AI governance and runtime enforcement. We call it Execution Governance Infrastructure (EGI).
The Gap Between Policy and Enforcement
Regulatory frameworks like the EU AI Act, NIST AI RMF, and ISO 42001 share a common requirement: organizations must maintain verifiable records of what AI systems decided, who authorized those decisions, and what happened as a result.
The industry has built strong tools for individual layers — content guardrails, identity management, audit logging, human-in-the-loop frameworks. But none of these tools operate at the execution boundary where decisions become actions.
What is EGI?
Execution Governance Infrastructure is a category defined by five properties:
| Property | Definition |
|---|---|
| Execution Gating | No action proceeds without cryptographically verified authorization |
| Cryptographic Binding | Every decision is bound to its authorization and outcome via digital signatures |
| Tamper-Evident Sequencing | All records are hash-chained so any modification is detectable |
| Independent Verifiability | Any third party can verify the integrity of any record without trusting the system |
| Fail-Closed Default | System failures result in denied execution, not permitted execution |
A system that satisfies all five properties qualifies as EGI. A system that satisfies fewer than five does not.
Why This Matters
The EU AI Act Article 14 requires human oversight measures that allow humans to "decide not to use the system, or to intervene, interrupt, or reverse its actions." Article 12 requires automatic recording of events relevant to identifying risks.
These are not suggestions — they are legal requirements with enforcement timelines. EGI provides the infrastructure layer that makes compliance verifiable rather than aspirational.
Read More
The full technical assessment is available as the EGI Position Paper [blocked].