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OVERT-as-Code — AI governance as code

OVERT-as-Code turns the OVERT standard into a declarative, machine-deployable policy you can put under version control. Write your AI governance rules in TOML, validate them in CI, and export machine-readable compliance evidence — the same way Terraform made infrastructure declarative.

# overt.toml — an AI governance policy as code
[policy]
id = "healthcare-ambient-v1"
name = "Healthcare Ambient AI Scribe Policy"
enforcement_mode = "enforce"
profile = "healthcare-ambient"
[policy.overt_level]
target = 3
[tool.defaults]
mode = "deny" # deny-by-default: only allowed tools execute
[[tool.allow]]
name = "read_patient_record"
requires_consent = true
classification = "read_only"
[[tool.deny]]
name = "delete_*" # glob patterns
reason = "Deletion prohibited in clinical ambient context"
CapabilityDescription
Declarative policyExpress rules across all six OVERT domains in TOML
Build-time validationglacis overt validate catches policy errors before production
Policy testingAssert specific decisions for specific requests in TOML test suites
OSCAL exportEmit NIST OSCAL Assessment Results for compliance automation
Industry profilesPre-built constraint sets (healthcare-ambient, finserv-trading, …) that upgrade — never downgrade — your settings
Shadow modeObserve what would be denied without blocking, then enforce when ready

OVERT-as-Code is the policy language and toolchain — it decides and validates. It is open because it carries the standard’s authority and exposes no enforcement or cryptographic IP. Running enforcement on your live traffic and producing signed, notarized receipts is the runtime product — that is where execution is actually proven, and OVERT’s design principle “self-attestation is not compliant” makes that a structural boundary, not artificial gating.