Machine-readable controls
State the subject, the expected condition, the data source, and the test. A machine can then run the check.
Research program
Compliant Insecurity is the condition of an organisation that holds every certificate its market asks for and still cannot detect, contain, or recover from an ordinary intrusion. This program studies how regulatory and contractual obligations move from periodic attestation to continuous operational evidence.
What evidence demonstrates that this requirement is working today?
Claim: hypothesis
HIPAA, SOC 2, HITRUST, NIST frameworks, ISO 27001, CMMC, PCI DSS, GDPR, state privacy laws, customer questionnaires, and contractual security schedules are useful sources of requirements. They tell an organisation what someone believes it should do. They are not evidence that it can survive an attack.
Buyers increasingly ask for the certificate during procurement and live evidence during risk review. This work asks how much of that evidence the running systems can produce automatically.
The framing and much of the source material for this program comes from Compliant Insecurity, which collects the pattern in detail.
Sources
Claim: recommendation
The gap between two audits is where the interesting behaviour happens. Configuration drifts, an exception is granted and forgotten, a vendor changes, a control is disabled during an incident and never restored. Periodic evidence cannot see any of it.
State the subject, the expected condition, the data source, and the test. A machine can then run the check.
Every record says where it came from, when it was collected, and which query produced it. An auditor can run it again.
Continuous comparison of observed state against expected state, with the time between drift and detection as a metric in its own right.
Requirements with no mapped evidence source at all, which are the most common and least reported failure.
Where the platform can enforce a policy, generate the written policy from the enforced rule.
The evidence already exists when the audit starts, so a team does not spend a quarter assembling it.
Claim: inference
Continuous evidence helps only when it describes what happened. Operational Truth separates what was intended, reported, recorded, inferred, observed, and independently verified. Without those labels, a clean record can be mistaken for a safe system.
The program uses these six labels from the Operational Truth material.
Sources
Claim: unknown
The program assumes continuous operational evidence predicts outcomes better than periodic compliance evidence.
A screenshot is a claim about a moment. A stored query with provenance can be re-run by the reader, which changes what the evidence is worth.
When requirements are mapped to operational data sources, the largest category is usually requirements that no system can currently answer at all. These gaps matter more than failures, because a failed control is visible while a requirement with no data source produces a narrative that passes. The claim is untested.
Certification scope is negotiated. A clean report describes the environment that was examined against the controls that were selected, at the time of the examination.