SRAIGS — Systemic Risk & Governance Signals (IP-Restricted Component)

Submitted by Endarr Carlton… on

 

 

SRAIGS (Systemic Risk & Governance Signals) is the NashMarkAI subsystem inside Sansana responsible for detecting governance-scale instability, public-interest risk elevation, policy-drift, structural breach patterns and system-level threat escalation. It aggregates multi-channel signals from Sentinel, NashMarkAI trajectories, ecosystem indices and external governance variables.

IP–Restricted Component (NashMarkAI / Truthvenarian Jurisdiction)

All risk-fusion tensors, governance weighting matrices, structural threat detectors, and multi-channel aggregation operators are proprietary. Only the public mathematical shell and pseudocode structure are disclosed.

No rights are granted to reconstruct, infer or approximate internal SRAIGS logic from this page.

1. System Role

  • Aggregates multi-source governance and systemic-risk signals.
  • Detects policy drift, structural breakdown and risk elevation events.
  • Integrates Sentinel drift alerts and NashMarkAI volatility/trajectory patterns.
  • Feeds BCE, EEE, SLFM and Sansana proportionality layers.
  • Acts as the cross-domain risk-governance intelligence module.

2. Public Mathematical Shell

$ R_t = \Phi_{\text{agg}}(D_t, V_t, G_t, \zeta_t) $

  • $ R_t $ — systemic risk index at time $ t $.
  • $ D_t $ — drift index from Sentinel.
  • $ V_t $ — volatility / stress indicators.
  • $ G_t $ — governance-state indicators (abstract).
  • $ \zeta_t $ — external ecological / public-interest pressure signals.
  • $ \Phi_{\text{agg}}(\cdot) $ — proprietary risk-fusion operator (withheld).

3. Governance-Signal Shell

$ \gamma_t = \Omega(R_t, \Delta G_t) $

  • $ \gamma_t $ — governance-level threat / escalation signal.
  • $ \Delta G_t $ — deviation in governance variable(s).
  • $ \Omega(\cdot) $ — proprietary escalation operator (withheld).

4. Integration Contract

ChannelSymbolDescription
Input$ D_t $Drift index from Sentinel.
Input$ V_t $Volatility and systemic-stress indicators.
Input$ G_t $Governance-state variables (abstracted).
Input$ \zeta_t $External ecological or public-interest pressure signals.
Output$ R_t $Aggregated systemic-risk index.
Output$ \gamma_t $Governance-threat / escalation signal.
Output$ \psi_t $Abstract SRAIGS alert packet to Sansana / BCE / EEE.

5. Public Pseudocode Shell


def sraigs_engine(drift, volatility, governance_state, external_pressure):
    """
    Public shell — internal SRAIGS logic withheld.
    """

    # 1. Aggregate systemic risk (fusion operator withheld)
    R = aggregate_risk(drift, volatility, governance_state, external_pressure)  # redacted

    # 2. Compute governance-level threat
    gamma = governance_escalation(R, governance_state)                          # redacted

    # 3. Build risk-governance alert packet
    alert = build_sraigs_alert(R, gamma)                                        # redacted

    return R, gamma, alert

6. Deployment Notes

  • Runs continuously on top-level system feeds (Sentinel + NashMarkAI outputs).
  • Feeds BCE, SLFM, EEE, and Sansana proportionality engines.
  • Operates behind sealed risk-governance isolation layers.
  • Used for structural governance detection, public-interest threat routing, litigation risk escalation and ecological-system integrity assurance.

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