Platform
QUORUM is a governed risk decisioning platform. It operates as a high-integrity decisioning layer that sits between event ingestion and institutional ledger enforcement — combining cryptographic attestability, governed adaptation, and forensic continuity in a single architecture.
01 // Decisioning Engine
The core engine evaluates every incoming event through a three-tier analysis plane: deterministic rule evaluation, heuristic behavioral scoring, and consensus arbitration. Every decision output is cryptographically signed and committed to the audit ledger before enforcement.
- Multi-dimensional signal ingestion with schema enforcement
- Governed rule arbitration with policy precedence
- Cryptographically attested, explainable decision outputs
- FROST(Ed25519) threshold signing — no single key compromise can forge an audit verdict
02 // Risk Scoring Pipeline
Ingestion
Raw event data is normalized and hydrated with historical context. Postgres WAL provides crash-consistent event buffering.
Feature Extraction
Synthesizing transaction velocity, entity age, and behavioral drift. Institutions apply mandatory local differential privacy before submission.
Governed Evaluation
Multi-tier analysis with pairwise secure gradient aggregation — server sees only the weighted gradient sum, never individual institution gradients.
Attested Verdict
The Adaptive Rule Engine issues a final score and enforcement directive, signed via FROST threshold protocol and committed to the KZG audit ledger.
03 // Behavioral Correlation Layer
Entropy-Based Identification
Instead of relying on static identifiers, QUORUM analyzes the 'entropy' of user behavior—keyboard rhythms, navigation paths, and transaction timing—to create a characteristically unique fingerprint.
FINGERPRINT_STABILITY: 98.2%
Cross-Event Mapping
The correlation layer maps relationships across seemingly unrelated events to identify coordinated fraud rings and automated attacks before they manifest as a loss.
04 // Rule Arbitration & Governed Adaptation
Logic Precedence
QUORUM's Adaptive Rule Engine resolves conflicts between human-defined rules and model-generated scores. Institutional mandates take precedence. Rules undergo shadow evaluation against historical event streams before promotion — no rule enters production without quantified impact.
Every rule change requires cryptographic authorization from designated compliance officers. Deployment is atomic and fully traceable in the append-only audit ledger.
05 // Human-in-the-loop Constraints
While QUORUM is designed for autonomy, institutions can enforce strict human-intervention gates for high-value or high-risk decisions.
Review Thresholds
Automatically escalate decisions falling within a specific 'Ambiguity Window' to human analysts.
Manual Overrides
Grant authorized officers the ability to override system verdicts with mandatory reason-code logging.
06 // Decision Output Types
BLOCK
Immediate enforcement. Transaction terminated.
ALLOW
Risk within acceptable parameters. Continue.
REVIEW
Pending human validation. Held for 30s.
ESCALATE
High-value exception. Level 3 clearance required.
04 // Live Engine Preview
Watch the analysis pipeline process an event in real time — from ingestion through AI consensus to verdict enforcement.
06 // Cryptographic Infrastructure
Every decision is cryptographically attested at the moment it is made. The following primitives form the trust stack that makes QUORUM decisions provably correct and independently verifiable.
05 // Architecture Documentation
Detailed specification for each subsystem in the QUORUM pipeline. Each document covers data contracts, processing logic, failure modes, and integration surface.