🚨 EXPERIENCE SCSS LIVE: Stop reading and start testing!
Click the badge above to visit our Interactive Research Lab. Run live AI governance simulations, view dynamic risk radars, and explore the complete 9-layer constitutional architecture.
Sovereign Constitutional Security Suite + Running Governance Network
Author: Ibrahim Naif Ibrahim Hassan Ghonem | Year: 2026


🌐 Explore the SCSS v2.0 Interactive Portal & Strategic Roadmap
Dive into the visual architecture, critical gaps analysis, the economic incentive layer, and the future of AI Constitutional Governance.
SCSS (Sovereign Constitutional Security Suite) is the world’s first AI Constitutional Operating System (AI-COS), enforcing constitutional ethical constraints at the infrastructure level, independent of any AI model or training method.
SOVEREIGN CORE — ~11,000 lines Rust, fully safe (no unsafe).
SCSS enforces constitutional laws between model and execution, making ethical constraints structurally unavoidable, similar to how an OS kernel controls hardware access.
| Traditional AI Stack | SCSS AI-COS Stack |
|---|---|
| Application | Application |
| AI Model | AI Model(s) — any model |
| Infrastructure | ┌──── SCSS Constitutional Kernel ──────┐ │ L1 Human Dignity Firewall (HDPL) │ │ L2 Temporal Risk Simulator │ │ L3 Ethical Memory Ledger (EMS) │ │ L4 Governance Engine (Multi-Sig) │ │ L5 Capture Resistance (ACA) │ │ Runtime: SOVEREIGN CORE (Rust) │ └──────────────────────────────────────┘ |
| OS / Hardware | Hardware / Cloud |
AI-COS Definition: K = (L1, L2, L3, L4, L5, P, M)
L1…L5 are kernel layers, P = HDPL constitutional policies, M = immutable encrypted ledger.
Execution allowed iff K.evaluate(a) ≠ DENY.
| Approach | Scope | Enforcement |
|---|---|---|
| Anthropic Constitutional AI | Claude only | ❌ ❌ ❌ |
| OpenAI Usage Policy | GPT only | ❌ ❌ ❌ |
| EU AI Act | EU jurisdiction | |
| NIST AI RMF | Advisory | |
| SCSS AI-COS | Any AI model | ✅ ✅ ✅ |
- LAYER 5 — Anti-Capture Architecture (ACA): 6 formally defined capture signals · escalation to lockdown
- LAYER 4 — Governance Engine: 3/5 multi-signature · 5-stage amendment pipeline · Ed25519
- LAYER 3 — Ethical Memory System (EMS): Append-only · hash-chained · no DELETE at any privilege level
- LAYER 2 — Temporal Risk Simulator: T+10d · T+1y · T+10y impact projection · confidence intervals
- LAYER 1 — Human Dignity Firewall (HDPL): INV-001…INV-005 · non-bypassable · no override API exists
EBNF Syntax:
Rule ::= Effect '(' Target ')' WhenClause? ThenClause?
Effect ::= 'deny' | 'permit' | 'hold' | 'escalate'
WhenClause ::= 'when' BoolExpr
BoolExpr ::= Predicate | BoolExpr 'and' BoolExpr | 'not' BoolExprExample Policy:
policy HUMAN_DIGNITY_BASELINE {
deny(output) when dignity_violation_score > 0.80 then log(IMMUTABLE_LEDGER)
deny(output) when persuasion_level > 0.85 and manipulation_vector then alert(ETHICS_BOARD)
}
Formulas:
dignity_violation_score = 0.35*dehumanization + 0.25*objectification + 0.25*degradation + 0.15*rights_erosion
ERI = 0.45*dignity_violation_score + 0.25*persuasion_level*vulnerability_score
+ 0.20*max(-projected_impact(10y),0) + 0.10*context_modifier
Decision Table:
| Score | Decision |
|---|---|
| 0.00–0.30 | ALLOW |
| 0.31–0.55 | ALLOW + monitor |
| 0.56–0.70 | MODIFY / HOLD |
| 0.71–0.85 | DENY |
| 0.86–1.00 | DENY + ESCALATE |
- 7-class adversary model (Institutional, Insider, Regulatory, Economic, Coordinated, Drift, Technical).
- Capture signals (S₁…S₆) monitor override attempts or manipulations.
- Multi-signature governance (3/5) prevents unilateral control.
Operational network with three independent providers, a consensus engine, and a gateway:
Client → SCSS Gateway (:8080) → Consensus Engine → 3 Providers → EMS
Tested on Python 3.10+ | Works on Linux, macOS, Windows, Termux/Android.
TERMUX/ANDROID NOTE: Avoid pydantic>=2.9 — requires Rust/maturin to build.
This file pins safe versions that install without Rust.
Install dependencies:
pip install -r requirements.txtrequirements.txt
flask==3.0.3
requests==2.32.3
Werkzeug==3.0.3
# Optional — only if using FastAPI variant
# fastapi==0.111.0
# uvicorn==0.30.1
# httpx==0.27.0
# pydantic==2.7.4 # <2.9 to avoid Rust build on Termux
@article{ghaneim2026scss,
author = {Ghonem, Ibrahim Naif Ibrahim Hassan},
title = {SCSS — AI Constitutional Operating System & Reference Network},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.19177048},
license = {CC-BY-4.0}
}Creative Commons Attribution 4.0 International (CC BY 4.0)
The SCSS (Sovereign Constitutional Security Suite), SOVEREIGN CORE, HDPL, and all associated reference networks are provided "AS IS", without warranty of any kind, express or implied. In no event shall the author (Ibrahim Ghonem), contributors, or copyright holders be liable for any claim, damages, or other liability arising from, out of, or in connection with the software.
SCSS provides infrastructure for governance and security evaluation; it DOES NOT guarantee absolute prevention of AI manipulation, unethical outputs, or legal compliance (e.g., EU AI Act or GDPR). Organizations deploying SCSS are solely responsible for their own regulatory compliance and normative threshold calibration (Governance Profiles).
- HDPL makes ethics formally verifiable.
- SOVEREIGN CORE makes it structurally unavoidable.
- ACA ensures capture-resistance.
- The SCSS Reference Network operationalizes these guarantees in practice.