Evidence Validation & Knowledge Integrity
Real-time evidence validation through Helios integrity gates, OmniSynth cross-domain synthesis, blockchain-anchored admissibility logic, and MPPT-driven dual-use gating protocols.
6-Stage Evidence Validation Pipeline
Every piece of evidence entering the ABI knowledge ecosystem passes through a deterministic 6-stage validation pipeline - from source authentication through blockchain anchoring.
Source Authentication
Every data source is cryptographically authenticated and provenance-verified before ingestion. Sources are classified by authority tier (Tier 1: primary institutional, Tier 2: peer-reviewed, Tier 3: open-source intelligence) with explicit confidence weighting.
Evidence Classification & Tagging
All evidence artifacts are classified by type (empirical, modeled, expert opinion, intelligence), confidence level (high/medium/low/contested), and recency. Each artifact receives a unique hash and is tagged with scenario, service, and compliance metadata.
Cross-Validation & Contradiction Detection
MPPT crystalline lattice logic mathematically surfaces conflicts and contradictions across evidence sources. Contradictions are not suppressed - they are explicitly registered, quantified, and surfaced to decision-makers with full provenance chains.
Dual-Use Risk Screening
Every evidence artifact and analytic output is screened through the 4-stage dual-use gating protocol. Content flagged for potential offensive application is embargoed, redacted, or routed to ethics board review before any downstream use.
Compliance Overlay Application
Evidence artifacts are overlaid with applicable regulatory frameworks (HIPAA, GDPR, NDAA, BioSecure, BWC) and access controls are enforced based on user role, clearance level, and jurisdictional authority.
Blockchain Anchoring & Audit Trail
Every validated evidence artifact is cryptographically hashed and anchored to the Helios blockchain spine. The complete validation pipeline - from source authentication through compliance overlay - is recorded as an immutable audit trail.
4-Gate Dual-Use Screening Protocol
Every piece of content is screened through a progressive 4-gate protocol - from automated detection through ethics board adjudication - ensuring zero offensive content reaches production.
Gate 1 - Automated Screening
NLP and pattern-matching engines scan all content for dual-use indicators: pathogen enhancement techniques, weaponization methodologies, delivery system specifications, and gain-of-function research protocols.
Gate 2 - Agent-Level Review
Specialized dual-use assessment agents evaluate flagged content against the ABI dual-use risk matrix, considering context, intent, audience, and potential for misuse.
Gate 3 - Human Expert Review
High-risk content is routed to domain expert human reviewers with appropriate clearance levels. Reviewers assess whether content can be safely released, requires redaction, or must be permanently embargoed.
Gate 4 - Ethics Board Adjudication
Critical-risk content or novel dual-use scenarios are escalated to the institutional ethics board for formal adjudication. Board decisions are recorded with full reasoning chains and become precedent for future screening.
Knowledge Base Integrity Defenses
Deletion & Retention Compliance
Automated enforcement of data retention policies across all jurisdictions. When retention periods expire or deletion requests are received, the system executes cryptographic deletion with blockchain-verified proof of destruction - while maintaining audit trail integrity.
Knowledge Base Versioning
Every knowledge base update is versioned with full diff tracking, provenance chains, and rollback capability. Version history is blockchain-anchored, enabling forensic reconstruction of the knowledge state at any point in time.
Source Authority Decay Modeling
Evidence confidence scores automatically decay over time based on source type, domain volatility, and superseding evidence. Stale evidence is flagged, downweighted, or archived - preventing decision-making on outdated intelligence.
Adversarial Knowledge Poisoning Defense
Multi-layered defense against adversarial attempts to inject false or misleading information into the knowledge base. Includes anomaly detection on ingestion patterns, cross-source validation, and honeypot evidence traps.
Output Quality Gates
100% of claims must have closed evidence chains
No open evidence registers in final outputAll contradictions must be explicitly registered
Contradiction register attached to every outputConfidence intervals must be statistically calibrated
Brier score < 0.15 for probabilistic forecastsAll content must pass 4-stage dual-use gating
Zero unscreened content in production outputsAll applicable regulatory frameworks must be satisfied
Automated compliance checklist completionComplete provenance chain from source to output
Blockchain-verified audit trail for every artifactAbsolute Evidence Integrity
Every ABI output is built on validated, provenance-verified, dual-use-screened, and blockchain-anchored evidence - with zero tolerance for hallucination or unverified claims.