anti-false-positive-decision-making

What problem does it solve?

Calibrates decision-making around when to act on signals to minimize costly false positives in security, fraud, and compliance workflows by establishing structured judgment, thresholds, and HITL gates.

Core Features & Use Cases

• Frame decision classes with reversibility and impact; define explicit costs for FP and FN.
• Establish evidence bars and corroboration rules (E0–E4) to determine Tiered responses.
• Map thresholds to tiered workflows (Observe, Enrich, Review, Contain, Block) with dual-control approvals.
• Provide governance cadence, documentation templates, and audit-ready artifacts for calibrations.
• Integrate screening, alert tuning, and escalation paths for consistent decision-making.

Quick Start

Define a decision class, set initial evidence bars, assign owners, and draft the governance runbook.