• Intelligence

  • This paper outlines LeyesX’s Identity Risk Governance framework, a systems-level approach to preventing identity exposure, narrative manipulation, and high-risk data leakage affecting ultra-high-net-worth individuals and high-exposure entities.

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    The digitalization of the global economy has altered how risk manifests and propagates. Economic value, operational authority, and reputational exposure increasingly concentrate in individuals whose digital identities act as aggregation points for data, relationships, and technical traces. As a result, risk that was once mediated primarily through systems and organizations now frequently originates at the level of the person.

    This paper introduces Identity Risk Governance (IRG), a framework developed by LeyesX for mapping, measuring, and governing risk associated with individual digital identity. IRG treats identity as a form of critical infrastructure and establishes a structured approach to managing exposure across open, behavioral, structural, deep web, dark web, and narrative domains.

    The framework is composed of three core elements. The Dark Exposure Index (DXI) provides a scalar metric for assessing proximity to actionable compromise. The TRIPLE S Protocol defines the operational logic of governance through Stealth (exposure reduction), Strike (incident reconstruction and intervention via the Attack Vector Reconstruction Protocol), and Stability (post-incident narrative continuity). Supporting analytical mechanisms enable continuous reassessment of identity risk over time.

    IRG is designed for environments in which individual identities anchor disproportionate economic and operational value, including creator economies, ultra-high-net-worth and family office ecosystems, Web3 and crypto markets, and reputationally sensitive digital industries. The framework offers a repeatable, governance-oriented model for managing the Human Attack Surface as a distinct risk domain.

    The framework is informed by real-world incident response cases, OSINT leakage patterns, and long-term threat surface analysis conducted by LeyesX.