Policy Controls

Policy Controls is SecureHive’s policy lifecycle management module. It provides a complete system for creating, reviewing, approving, and enforcing security policies, with AI-powered content digestion to automatically extract controls from policy documents.

What’s included

Policy Library — Full policy lifecycle from Draft to Retired, with a 10-tab detail view covering document management, RACI matrices, review cycles, and strategy alignment.

Policy Requests — Structured request workflow for creating, updating, retiring, and publishing policies with configurable approval tracking and a five-tab detail view.

Content Digestion — AI-powered extraction of controls from policy documents using literal conversion or AI extraction methods, with confidence scoring and framework matching.

Control Mapping — Map extracted controls to policies with implementation tracking, RACI assignments, and a personal My Controls view for individual accountability.

Enforcement — Monitor compliance for published policies with KPI/KRI definitions, compliance status tracking, and incident management across four severity levels.

Workflows — Visual workflow builder powered by ReactFlow for designing multi-stage approval flows with configurable node types, role assignments, and conditional routing.

Approvals — Approval decisions within workflow stages including approve, reject, exception, and request changes actions, with delegation support and full audit trail.

Settings — Configure workflow defaults per request type and manage tenant-level policy lifecycle preferences.

Getting started

The typical flow for Policy Controls is to create policies in the Policy Library, submit them through Policy Requests for formal approval, then use Content Digestion to extract controls from approved policy documents and track enforcement against published policies. Start by adding your existing policies to the library, then establish request workflows to govern future policy changes.