Files
blackroad-operating-system/services/codex/entries/015-quantitative-information-flow.md
Alexa Louise 9644737ba7 feat: Add domain architecture and extract core services from Prism Console
## 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>
2025-11-29 13:39:08 -06:00

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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.