Embedded Governance Intelligence
Stronghold Enforce™ is the embedded governance intelligence and policy operationalization capability included with the core platform. It allows governance professionals to begin with plain English, Word documents, PDF source material, or policy-as-code and translate that governance into reviewed, validated, operational logic.
Plain English is a first-class starting point. Real Word and PDF source documents can be ingested directly. AI-mediated rule extraction proposes candidate rules, which move through a side-by-side review flow showing source policy on one side and generated code on the other. Syntax validation is built in, including live Rego syntax checking if you edit the generated code.
Policy and control are stored as one object, reducing drift between documentation and execution.
Start from plain English, a real Word or PDF document, or policy-as-code. AI-mediated rule extraction proposes candidate rules; a side-by-side review flow shows source policy on one side and generated code on the other, with syntax validation. Each rule carries severity (Critical / High / Medium / Low) and confidence.
Paste plain-English policy and click “Analyze & Generate Rules.” Candidate rules return with severity, generated Rego, and confidence — ready for the Rule Review Wizard.
Ingest real Word and PDF source documents directly. Extraction proposes candidate rules; the wizard takes it from there. Source and code stay linked as a single object.
Author or paste policy-as-code directly. Save, validate, and commit through the same governed review flow used for the other two modes.
Enforce turns governance into executable logic connected to live operations. Boundaries become clearer, decisions become easier to govern, and institutional intent becomes easier to preserve.
Behavioral patterns, temporal analysis, and absence detection across governed internal operations. Fifteen active patterns, sector-aware, with drill-down to the underlying signal.
Monitoring of AI model behavior against governance policy. Pattern 14 surfaces third-party AI risk where model outputs drift from documented intent.
Visibility into concentration of risk and activity across internal operations — by sector, business unit, process, or control — so over-reliance is visible before it matters.
Awareness of where operational practice has drifted from updated policy. When a regulation changes, lag is quantified and surfaced, not inferred.
Governance completeness assessment across the operating model. See which controls have policy, which have enforceable logic, and which have neither.
Multi-filter policy library (Source / Status / Category), six sector views including Cross-Sector, with linked regulations attached to each policy object. Bulk retire requires reason.
Stronghold includes a decisioning engine as part of Stronghold Governance Core™. It accepts plain English, Word, PDF, or policy-as-code directly through the Rule Review Wizard and executes the generated logic in-suite — no Rego programming required. If you already run a different engine, Stronghold’s UI includes integration options for IBM ODM, Drools, FICO Blaze Advisor, Open Policy Agent, and custom engines. Back-end integration to any external engine is scoped and delivered with you on a per-engagement basis.
Part of Stronghold Governance Core™. Accepts plain English, Word, PDF, or policy-as-code directly through the Rule Review Wizard — no Rego programming required, the system does it for you. This is the engine Enforce authors into by default.
Optional integrations · if you already run one of these
External engines execute in Rego or their native rule syntax; integration to any of them is scoped per engagement.
Five components. One governed operating environment.
Live signals, determinations, workpapers, review, and sealed evidence.
Read more →Plain English, Word, PDF, or policy-as-code becomes executable governance logic.
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