Document Classification: Internal — CHLOM Confidential Phase: 0 → 1 Version: 0.1 Owner: CrownThrive, LLC Last Updated: 2025-08-08

Section 1 — Service Overview

• Services Covered: Compliance Engine (CE), ZKP Verifier (ZKV), API Gateway, Feature Store, Event Backbone.
• SLOs Monitored: Latency (P95), Error Rate, Availability, Throughput, Feature Freshness.

Primary Dashboards:

• CE Latency & Error Rate
• ZKV Verification Throughput
• Gateway Request Rate & Auth Failures
• Kafka Lag per Topic
• Feature Store Freshness

Section 2 — Golden Signals & Alerts

Section 3 — Runbooks for Common Incidents

3.1 CE Latency Spike

1. Check API Gateway logs for surge.
2. Inspect CE CPU/mem; check Python worker queue.
3. If model inference is bottleneck, failover to cached scores.
4. Post-mortem required within 48h.

3.2 ZKV Degradation

1. Check proof size trends.
2. Inspect batch verify queue depth.
3. If under attack, throttle per-tenant CAP.

3.3 Kafka Lag Surge

1. Identify consumer lagging.
2. Restart or scale consumers.

3.4 Feature Freshness Alert

1. Inspect upstream ingestion.
2. Trigger backfill job if SLA breach.

Section 4 — Autoscaling & Capacity Planning

• HPA Targets: CE CPU 60%, ZKV CPU 70%, Kafka consumer lag.
• Forecasting: Monthly growth reports; capacity review quarterly.

Section 5 — Chaos Testing Procedures

• Quarterly: Kill CE pod mid-batch, ZKV under load, Kafka broker outage.
• Goals: Verify failover, resilience, no data loss beyond RPO.

Section 6 — Error Budget Policy

• Policy: SLO miss > 10% of budget triggers freeze on new features until reliability restored.

Trade‑Secret Handling SOP — CHLOM Phase 0→1

Document Classification: Internal — CHLOM Confidential Owner: CrownThrive, LLC Last Updated: 2025-08-08

Section 1 — Access Control Rules

• Least Privilege: Only engineers with direct need get access to restricted repos.
• Two‑Person Rule: Access to proprietary math/model code requires second approver.
• Rotation: Review access lists quarterly.

Section 2 — Code Splitting & Internal Codenames

• Split Logic: Sensitive algorithms split into modules; one team cannot see full pipeline.
• Codenames: Use neutral codenames in commit messages and docs; no plain-text algorithm names in public repos.

Section 3 — Audit & Monitoring Procedures

• Repo Audits: Monthly checks for secrets, PII, or sensitive code in commits.
• Build Provenance: All builds signed; SBOM generated.

Section 4 — Escalation Path for Leaks

1. Notify Security Lead.
2. Freeze affected repos.
3. Rotate relevant keys.
4. Incident report to Founders within 24h.

Proprietary Algorithm Doc Skeleton — CHLOM Phase 0→1

Document Classification: Internal — CHLOM Confidential Owner: CrownThrive, LLC Last Updated: 2025-08-08

Section 1 — Algorithm Codename

• Example: AegisScore-v1

Section 2 — Purpose & Scope

• Purpose: Compute risk score from entity features, sanctions data, and ZK proof validity.
• Scope: Used in CE; output feeds TLaaS gating.

Section 3 — Inputs & Outputs

• Inputs: Feature vector, sanctions snapshot ID, ZK verification result.
• Outputs: Score, decision band, explanations, evidence pointer.

Section 4 — Core Logic (Pseudocode)

function computeAegisScore(features, sanctions, zkResult):
    score = 0
    if sanctions.flagged: score -= 500
    score += weight_vector * features
    if zkResult.valid: score += bonus_points
    return clamp(score, 0, 1000)

Section 5 — KPIs & Performance Targets

• Target Latency: ≤ 200ms
• Accuracy: ≥ 95% precision on historical test set
• Drift Sensitivity: Alert on PSI > 0.2

Section 6 — Interfaces & API Endpoints

• POST /v1/score/compliance

Section 7 — Testing & Validation

• Unit tests, integration with CE, adversarial test cases.

Section 8 — Security Considerations

• Ensure no raw PII exposed in outputs.
• Resist model extraction via rate limiting & noise.

Section 9 — Maintenance & Versioning

• Semantic versioning; track in Model Registry; retire after drift beyond threshold.