mirror of
https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
synced 2026-03-17 05:57:21 -05:00
## Domain Architecture - Complete domain-to-service mapping for 16 verified domains - Subdomain architecture for blackroad.systems and blackroad.io - GitHub organization mapping (BlackRoad-OS repos) - Railway service-to-domain configuration - DNS configuration templates for Cloudflare ## Extracted Services ### AIops Service (services/aiops/) - Canary analysis for deployment validation - Config drift detection - Event correlation engine - Auto-remediation with runbook mapping - SLO budget management ### Analytics Service (services/analytics/) - Rule-based anomaly detection with safe expression evaluation - Cohort analysis with multi-metric aggregation - Decision engine with credit budget constraints - Narrative report generation ### Codex Governance (services/codex/) - 82+ governance principles (entries) - Codex Pantheon with 48+ agent archetypes - Manifesto defining ethical framework ## Integration Points - AIops → infra.blackroad.systems (blackroad-os-infra) - Analytics → core.blackroad.systems (blackroad-os-core) - Codex → operator.blackroad.systems (blackroad-os-operator) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
# Codex 15 — Quantitative Information Flow — Measure the Leak
|
|
|
|
**Fingerprint:** `23064887b1469b19fa562e8afdee5e9046bedf99aa9cd7142c35e38f91e6fef2`
|
|
|
|
## Aim
|
|
Keep secrets secure by quantifying leakage instead of relying on intuition.
|
|
|
|
## Core
|
|
- Define information leakage through a channel \(C\) as mutual information \(\mathcal{L} = I(S; O) = H(S) - H(S \mid O)\).
|
|
- Enforce quantitative noninterference so that \(\mathcal{L} \leq \epsilon\) for each release.
|
|
- Use hyperproperty reasoning (2-safety) to compare pairs of runs against policy constraints.
|
|
|
|
## Runbook
|
|
1. Annotate confidential sources and observable sinks; instrument systems to estimate \(I(S; O)\).
|
|
2. Allocate an \(\epsilon\) leakage budget per module and deny releases that exceed the cap.
|
|
3. Apply differential privacy, padding, or channel randomization to reduce \(\mathcal{L}\).
|
|
|
|
## Telemetry
|
|
- Bits leaked per query or release and cumulative leakage versus budget.
|
|
- Effectiveness of mitigation techniques over time.
|
|
- Alerts raised when leakage approaches thresholds.
|
|
|
|
## Failsafes
|
|
- Trigger an emergency kill switch when leakage exceeds the budget.
|
|
- Capture forensic snapshots and patch the offending module before re-enabling output.
|
|
|
|
**Tagline:** Quantify every whisper.
|