Provider Integrity Forensics
This documentation is part of the GMGENGINE infrastructure system governing orchestration and controlled execution logic.
Purpose and Scope
This page defines how provider integrity is examined when questions arise about game outcomes, result consistency, or settlement correctness. Provider integrity forensics focuses on validating whether externally supplied game results align with deterministic settlement rules and recorded ledger events, without assuming fault or intent.
Provider Result Ingestion
All provider outcomes enter the system as external facts, identified by provider-specific round identifiers, timestamps, and result payloads. These inputs are treated as immutable references and are never altered by settlement logic. The system records the received data exactly as delivered before any balance effects are computed.
Deterministic Correlation
Forensic analysis begins by correlating each provider result with its corresponding internal bet record. This correlation relies on deterministic identifiers such as bet IDs, round IDs, and session references. A valid correlation requires a one-to-one mapping between provider results and internal settlement entries.
Ledger Consistency Checks
Once correlated, provider results are evaluated against ledger movements. The stake, payout, and net outcome derived from provider data must reconcile with the recorded balance before and after settlement. Any divergence is flagged as an integrity anomaly rather than silently corrected.
Temporal Verification
Provider integrity analysis includes time-order validation. Result timestamps, settlement timestamps, and ledger write order are examined to ensure that outcomes are applied in a causally correct sequence. Out-of-order or retroactive applications are treated as forensic events requiring review.
Variance and Pattern Analysis
Beyond individual rounds, provider integrity forensics evaluates aggregated behavior. Statistical variance, frequency of voids or adjustments, and deviation from expected distributions are analyzed to detect abnormal patterns that may indicate configuration errors or upstream issues.
Exception Classification
When inconsistencies are detected, they are classified into defined exception types such as missing results, duplicate rounds, mismatched amounts, or delayed confirmations. Each exception is recorded as a separate forensic record linked to the original bet and provider reference.
Non-Mutation Principle
Forensic investigation does not mutate historical records. Original provider inputs and ledger entries remain intact. Any remediation actions are expressed as explicit adjustment records that reference the original data, preserving a complete and auditable history.
Reproducibility of Findings
All forensic conclusions are derived from replayable data sources: provider result logs, deterministic settlement rules, and append-only ledgers. Independent reviewers can reproduce the same findings by replaying the same inputs through the same verification steps.
System Boundary Enforcement
This process explicitly separates provider responsibility from settlement responsibility. The system evaluates consistency and integrity without asserting control over provider randomness or game logic, ensuring that forensic conclusions remain bounded to verifiable evidence.
Scope and Dependencies
This page is a derivative specification within GMG Engine. It does not define or redefine core primitives such as settlement, determinism, finality, proof, or exception handling. All authoritative definitions are inherited from the locked GMG Engine core primitives.
Related Core Primitives
This page depends on the authoritative definitions established in: Deterministic Outcomes, Settlement Ledger Format, Settlement Finality, Transaction Proof.