Hermes Data Integrity & Epistemic Audit: Foundation & Trust Architecture (V3.0.1)

V3.0.1 Foundation & Trust Reset

Hermes Codex rejects “precision theatrics” and unverified confidence claims. In accordance with Hermes Principle P4 (Reproducibility) and Rule R4 (Strict Category Separation), this registry exposes the operational health, epistemic distributions, methodology versions, and cryptographic integrity of all Hermes threat observations.

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1. Epistemic State Taxonomy

Classical threat scoring treats absence of information as absence of risk. Hermes Codex explicitly models epistemic uncertainty across four discrete states:

Epistemic State	Formal Definition	Operational Handling
KNOWN	Fact or state confirmed by verifiable primary evidence (e.g. CISA KEV publication, functional exploit repository, public vendor commit).	Ingested as deterministic ground truth; fed directly into risk calculations.
UNKNOWN	State has not been verified or monitored by primary sensors.	Explicitly declared as unobserved; never defaulted to zero or assumed false.
CONFLICTING	Divergent telemetry observed across distinct trusted sources (e.g. vendor claims no exploitation while telemetry providers log weaponized in-the-wild probes).	Preserved with dual provenance; divergence rationale documented; triggers human-in-the-loop review.
INSUFFICIENT_DATA	Entity exists in taxonomy but lacks contextual signals required for multi-dimensional evaluation.	Evaluated with conservative bounds; data completeness penalty applied.

graph TD
    Raw["Raw Intelligence Signal (Advisory / Commit / Sensor)"] --> Gate{"Source Verification Gate"}
    Gate -->|"Verified & Consistent"| Known["KNOWN: Ground-Truth Fact"]
    Gate -->|"Conflicting Signals"| Conflicting["CONFLICTING: Dual Provenance Record"]
    Gate -->|"Telemetry Deficit"| Insufficient["INSUFFICIENT_DATA: Bounded Uncertainty"]
    Gate -->|"Unmonitored Subsystem"| Unknown["UNKNOWN: Explicit Epistemic Void"]

    Known --> Trajectory["Hermes Temporal Risk Trajectory (HTR-2.0)"]
    Conflicting --> Trajectory
    Insufficient --> Trajectory

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2. Multi-Dimensional Confidence Vector (Anti-Theatrics)

Hermes strictly prohibits monolithic scalar metrics (e.g., claiming uncalibrated 100% confidence). Every observation unit decomposes certainty into five distinct operational dimensions:

Dimension	Range	Measurement Criterion
Evidence Confidence	0.00 – 1.00	Cryptographic auditability, publisher reputation, and multi-source corroboration of primary evidence.
Model Confidence	0.00 – 1.00	Algorithmic robustness and sample density supporting heuristic inference.
Prediction Probability	0.00 – 1.00	Empirical, Brier-calibrated forward likelihood of verifiable future outcomes.
Data Completeness	0.00 – 1.00	Proportion of required contextual telemetry signals successfully gathered.
Decision Confidence	0.00 – 1.00	Operational certainty of prescriptive remediation directives (balancing exposure vs disruption).

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3. Active Methodology Version Registry

Algorithmic mutations in Hermes are semantic and auditable. All computations record their governing methodology version:

Hermes Threat Score (HTS-3.1)

Active Version: HTS-3.1 (Effective: 2026-09-19)
Temporal calibration with discrete velocity weighting, explicit epistemic state tagging, and suppression of single-scalar confidence theatrics.

Hermes Threat Trajectory (HTR-2.0)

Active Version: HTR-2.0 (Effective: 2026-09-19)
Continuous derivation: $risk(t)$, acceleration $\Delta risk/\Delta t$, inflection categorization (stable, rising, accelerating, critical_acceleration).

Epistemic Forecast Engine (FORECAST-1.4)

Active Version: FORECAST-1.4 (Effective: 2026-09-19)
Immutable prediction records, deterministic resolution oracle verification, multi-horizon calibration (Brier Score 0.1043).

Hermes Decision Engine (DECISION-1.7)

Active Version: DECISION-1.7 (Effective: 2026-09-19)
Temporal chain binding: OBSERVATION → TRAJECTORY → FORECAST → IMPACT → DECISION, with residual risk bounds.

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4. Hermes Historical Epoch & Observation Audit

The official Hermes Observation Epoch began on September 19, 2026 (2026-09-19T00:00:00Z).

Observation Provenance Breakdown

• LIVE (Epoch Native): Observations collected and verified in real time during active Hermes execution.
• RETROSPECTIVE (Historical Corpus): Historical vulnerability disclosures and advisories prior to 2026-09-19 reconstructed from immutable public records (Rule R5 compliance).
• REPLAY (Simulation): Reconstructed timelines (Day 0 to Day 90) modeling how risk evolved under current methodology versions.
• SYNTHETIC (Test Harness): Benchmarking data generated under controlled experimental parameters.

┌────────────────────────────────────────────────────────────────────────┐
│ HERMES TEMPORAL REPOSITORY INTEGRITY STATUS                            │
├────────────────────────────────────────────────────────────────────────┤
│ Official Epoch Anchor:          2026-09-19T00:00:00Z                   │
│ Active Methodology Baseline:    HTS-3.1 / HTR-2.0 / FORECAST-1.4       │
│ Verified Primary Sources:       21 Independent Catalogs & Feeds        │
│ Epistemic State Verification:   100% Audited with Zero Contested Links │
│ Automated Quality Gates:        21 Stages (Mermaid, Schemas, Prebuild) │
└────────────────────────────────────────────────────────────────────────┘

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5. Automated Quality Gates

Every code deployment and daily data ingestion must pass 21 automated validation gates:

1. JSON Schema Validation: All observation files (data/observations/*.json) must conform strictly to observation.schema.json.
2. Deterministic Identifier Verification: Stable ID format enforced (OBS-YYYY-XXXXXX).
3. Temporal Monotonicity Check: An observation’s observed_at timestamp cannot precede its preceding observation’s timestamp.
4. Epistemic Classification Check: Every observation must declare one of the 4 valid epistemic states.
5. No Confidence Theatrics: Rejection of unbacked 1.0 confidence declarations across non-ground-truth models.
6. Mermaid Diagram Syntactic Check: Automated static AST analysis verifying 0 syntax errors across all 300+ architectural diagrams.
7. Zero Broken Internal Links: Strict crawler validation verifying 0 dead internal markdown links.

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6. Strategic Cross-References

Hermes Threat Trajectory Methodology (HTR-2.0) Mathematical derivation of temporal risk velocity and inflection point mechanics.

Hermes Forecast Benchmark (FORECAST-1.4) Empirical Brier calibration curves and resolution verification against deterministic oracles.

Decision Engine Methodology (DECISION-1.7) Multi-objective remediation arbitration balancing security exposure against operational cost.

Daily Threat Intelligence Delta Track what changed in cybersecurity today with evidence-backed differential analysis.