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▓ A I I N F R A S T R U C T U R E // A U T O N O M O U S ▓
▓ ── Zero-Trust · Privacy-First · Acquisition-Grade ── ▓
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# /etc/research/systems.yaml
---
operator:
name: "Ciprian Stefan Plesca"
classification: "Autonomous Systems Architect // Zero-Trust Systems Engineer"
node: "EU/RO → Global Reach"
contact: "contact@localpulse.pro"
research_mandate: |
Independent research in autonomous systems infrastructure — outside the
influence of Big Tech roadmaps and VC-driven priorities.
This work answers to one constituency: the engineers and security
architects who need production-grade, auditable, zero-trust AI systems
and cannot find them anywhere else.
domains:
- Autonomous Systems Infrastructure # full-stack ownership, zero telemetry
- Zero-Trust Deployment Models # no implicit trust at any layer
- Open Security Architectures # publicly auditable AI security frameworks
- Compliance-Ready Blueprints # SOC 2 · ISO 27001 · GDPR mapped
- LLM Threat Modeling # red-teaming documentation for AI systems
axiom: "What you don't own, owns you."
principle: "Security is not a feature. It is a design invariant."Most AI infrastructure is engineered for SPEED TO MARKET.
This research is engineered for something harder to fake:
✦ AUTONOMY — No critical dependency on external actors or cloud vendors
✦ AUDITABILITY — Every architectural decision is documented and justified
✦ ZERO TRUST — No implicit trust between services. Verify everything, always.
✦ COMPLIANCE — SOC 2, ISO 27001, GDPR — not as checkboxes, as design constraints
✦ INDEPENDENCE — No VC roadmap. No product pressure. Pure engineering discipline.
✦ LONGEVITY — Built to outlast hype cycles, vendor lock-in, and model generations
The infrastructure being built here — zero-trust AI pipelines, compliance-ready blueprints,
self-hosted deployment models — is the kind of foundational work that product companies
never fund, because it doesn't ship a feature. It ships a foundation.
AI security architecture and SecOps command blueprint for resilient AI infrastructure.
SCOPE: Threat modeling · Incident response playbooks · Observability patterns
TARGET: LLM-based systems deployed in enterprise environments
POSTURE: Offense-informed defense · Minimal blast radius · Full audit lineage
TAG: AI Security · SecOps · Threat Modeling
Autonomous Systems infrastructure platform — privacy-first, zero telemetry, full data residency.
SCOPE: On-premises AI workloads · Air-gap capable · No external data transfer
TARGET: Organizations requiring full ownership of their AI stack
POSTURE: Zero telemetry · Data ownership · Compliance-aware pipelines
TAG: Autonomous Systems · Privacy-First · On-Premises
Enterprise compliance and AI security architecture framework for regulated environments.
SCOPE: Policies · Controls · Implementation guides · AI governance
TARGET: Organizations integrating AI into SOC 2 / ISO 27001 / GDPR environments
POSTURE: Structured · Auditable · Reusable across deployment contexts
TAG: Compliance · ISO 27001 · SOC 2 · AI Governance
graph LR
A["👤 User / Client"] --> B["🔒 API Gateway<br/>Auth + Rate Limiting"]
B --> C["🤖 AI Services<br/>LLM / Inference"]
C --> D["🛡️ Security Layer<br/>Zero Trust + Audit"]
D --> E["🗄️ Data Layer<br/>Encrypted at Rest"]
B --> F["📊 Observability<br/>Logs + Metrics"]
D --> F
style A fill:#0a0a18,stroke:#00d4ff,color:#e8eaf6
style B fill:#0a0a18,stroke:#00d4ff,color:#e8eaf6
style C fill:#0a0a18,stroke:#00ff88,color:#e8eaf6
style D fill:#0a0a18,stroke:#ff3c6e,color:#e8eaf6
style E fill:#0a0a18,stroke:#ffd448,color:#e8eaf6
style F fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
DESIGN INVARIANTS:
✦ Every component: auditability by default
✦ Every service boundary: zero implicit trust
✦ Every data path: encrypted in transit and at rest
✦ Every deployment: minimal blast radius
✦ Every access event: logged, signed, and attributable
LANGUAGES: Python · Julia · Rust · Haskell · Malbolge
LOCATION: /systems
PURPOSE: Same design invariants (auditability, zero trust,
tamper-evidence) implemented as real, runnable modules
across paradigms — imperative, functional, type-level,
and one deliberately hostile esoteric language.
| System | Language | Role | What it demonstrates |
|---|---|---|---|
api-gateway |
Python (FastAPI) | Entry point — auth, signing, rate limiting | HMAC request signing, replay defense, clock-skew rejection |
threat-scoring |
Julia | Risk-scores every inbound request | Multiple dispatch + @threads parallel scoring |
audit-ledger |
Rust | Tamper-evident append-only log | Zero-copy Merkle tree, unit-tested tamper detection |
access-control |
Haskell | Reference policy engine | Type-level zero-trust access-control matrix |
esoteric-showcase |
Malbolge | Rigor demonstration | Canonical program in the world's most hostile esoteric language |
Each folder is a real, independently runnable module with its own
README.md and build instructions — not a snippet dump.
graph TD
ROOT["🧩 Design Invariants<br/>Auditability · Zero Trust · Tamper-Evidence"]
ROOT --> JL["Julia<br/>threat_score.jl"]
ROOT --> PY["Python<br/>zero_trust_verify.py"]
ROOT --> RS["Rust<br/>merkle.rs"]
ROOT --> HS["Haskell<br/>access_matrix.hs"]
ROOT --> MB["Malbolge<br/>hello.mb"]
JL --> JL1["Multiple dispatch"]
JL --> JL2["Parallel @threads scoring"]
PY --> PY1["HMAC request signing"]
PY --> PY2["Replay + clock-skew defense"]
RS --> RS1["Zero-copy Merkle tree"]
RS --> RS2["Tamper-evident audit log"]
HS --> HS1["Type-level access matrix"]
HS --> HS2["Illegal states unrepresentable"]
MB --> MB1["Self-modifying ternary VM"]
MB --> MB2["Compiler found by genetic search"]
style ROOT fill:#0a0a18,stroke:#e8eaf6,color:#e8eaf6
style JL fill:#0a0a18,stroke:#8b5cf6,color:#e8eaf6
style PY fill:#0a0a18,stroke:#00d4ff,color:#e8eaf6
style RS fill:#0a0a18,stroke:#ff6b35,color:#e8eaf6
style HS fill:#0a0a18,stroke:#00ff88,color:#e8eaf6
style MB fill:#0a0a18,stroke:#ff3c6e,color:#e8eaf6
style JL1 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style JL2 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style PY1 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style PY2 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style RS1 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style RS2 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style HS1 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style HS2 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style MB1 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
style MB2 fill:#0a0a18,stroke:#6b7a9d,color:#e8eaf6
sequenceDiagram
participant C as Client
participant PY as Python (FastAPI Gateway)
participant JL as Julia (Threat Scorer)
participant RS as Rust (Audit Log)
participant HS as Haskell (Access Policy)
C->>PY: Inbound request
PY->>HS: Check access matrix
HS-->>PY: allow / deny
PY->>JL: Score request risk
JL-->>PY: risk score
PY->>RS: Append signed audit entry
RS-->>PY: Merkle root updated
PY-->>C: Response
┌──────────────────────────────────────────────────────────────────────────┐
│ │
│ THREAT MODEL → Every system is assumed compromised at design time. │
│ ACCESS MODEL → Identity is the new perimeter. Trust nothing. │
│ DATA MODEL → What you don't own, owns you. Ownership is baseline. │
│ AUDIT MODEL → If it isn't logged and signed, it didn't happen. │
│ RISK MODEL → Risk not eliminated at architecture level │
│ compounds exponentially at the operational level. │
│ LLM MODEL → Language models are attack surfaces. Threat-model them. │
│ │
└──────────────────────────────────────────────────────────────────────────┘
| ACCESS LEVEL | WHAT YOU RECEIVE |
|---|---|
| 🔓 All Tiers | Early access to architecture blueprints before public release |
| 📁 All Tiers | Private research notes — raw threat models and decision logs |
| 🔒 Tier 2+ | Security frameworks — reusable posture templates for AI systems |
| 🏗️ Tier 2+ | Infrastructure templates — IaC modules, hardened baseline envs |
| 📋 Tier 3+ | Technical briefings on emerging AI security threats |
| 🎯 Tier 4+ | Priority feature development and architecture consulting |
| 🤝 Tier 5 | Direct technical partnership — Slack/Discord/Teams access |
Independent research has no VC runway. Your sponsorship is the runway.
All channels EU VAT compliant · Corporate invoicing via Xolo Go OÜ, Estonia
╔════════════════════════════════════════════════════════════════════════════╗
║ ║
║ ☕ T1 · $5/mo · VANILLA SUPPORTER ║
║ → Sponsor badge on GitHub profile ║
║ → Direct support for bloat-free open-source infrastructure ║
║ ║
║ 🚀 T2 · $25/mo · CLEAN CODE INSIDER ║
║ → Name / logo in project README ║
║ → Access to private sponsorware repositories ║
║ → Architecture evolution — behind-the-scenes access ║
║ ║
║ 🏢 T3 · $100/mo · STARTUP PARTNER ║
║ → Company logo on project website ║
║ → Priority bug reports and feature requests ║
║ → All previous tier rewards ║
║ ║
║ 👑 T4 · $500/mo · ENTERPRISE GOLD ║
║ → 1 hour consulting session per month ║
║ → All previous tier rewards ║
║ ║
║ 💎 T5 · $1,000/mo · VIP CORPORATE PARTNER ║
║ → Direct technical partnership ║
║ → Slack / Discord / Teams access for ongoing architectural consulting ║
║ → All previous tier rewards ║
║ ║
╚════════════════════════════════════════════════════════════════════════════╝
| AMOUNT | ENGAGEMENT TYPE |
|---|---|
$50 |
Shoutout in release notes + sponsorware repository access |
$200 |
1-hour pair programming — remote debugging or code review |
$350 |
1-hour architecture mentorship — system design and scalability |
$1,000 |
Bug bounty / feature request — priority development of specific fix |
$2,000 |
Tech talk / workshop — remote technical presentation |
$5,000 |
Enterprise custom contract — large-scale architecture and implementation |
⚠️ CAPACITY: LIMITED // SELECTION: DELIBERATE // ENTRY: BY BRIEFING ONLY
Available for a restricted number of strategic engagements:
| TYPE | SCOPE |
|---|---|
| 🔐 Autonomous Systems Strategy | Private infrastructure design for orgs that cannot tolerate data exposure |
| 🏗️ Enterprise Architecture Review | Zero-trust posture audit and hardening roadmap |
| 📋 Compliance Mapping | SOC 2, ISO 27001, GDPR implementation for AI-integrated systems |
| 🤖 LLM Threat Modeling | Red-team documentation for production language model deployments |
| 🧠 Technical Advisory | For operators who already understand the threat landscape |
PROTOCOL:Exploratory calls are not onboarded. Strategic briefings are.
╔══════════════════════════════════════════════════════════════════════════════╗
║ ║
║ "What you don't own, owns you." ║
║ "Security is not a feature. It is a design invariant." ║
║ "Weak systems create noise. Strong systems create leverage." ║
║ ║
║ — Ciprian Stefan Plesca ║
║ Autonomous Systems Infrastructure Research ║
║ ║
╚══════════════════════════════════════════════════════════════════════════════╝
Ciprian Stefan Plesca · EU/RO Node · contact@localpulse.pro · Silicon Valley