Q-Trust Plane

PITCH DECK

Pitch Deck

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Structure

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Slide 01

Slide 1: Title

Q-Trust Plane
Cryptographic Zero-Trust Control Plane for Hybrid Infrastructure

Govern CI/CD, IaC, Kubernetes, Web3, and MLOps with cryptographic proof

Slide 02

Slide 2: The Problem

Authorization Fragmentation Crisis

Modern infrastructure spans multiple domains, each with its own authorization system:

Domain Current Approach Problem
Web3 Multi-sig wallets, manual approvals No audit trail, no policy enforcement
Kubernetes OPA, Kyverno, PSPs Domain-specific, no cross-system governance
Terraform Sentinel, manual reviews Vendor lock-in, limited evidence collection
MLOps Custom scripts, manual gates No standardization, poor auditability
CI/CD Platform-specific rules Fragmented, no unified policy

The Result

  • No unified governance across domains
  • Incomplete audit trails scattered across systems
  • No cryptographic proof of authorization decisions
  • Compliance nightmares with manual evidence collection
  • Security gaps from inconsistent policy enforcement

Slide 03

Slide 3: The Solution

Q-Trust Plane: One Control Plane for Everything

One Policy Language (QPL)
Write policies once, enforce everywhere. Declarative, domain-agnostic syntax.

Cryptographic Grants
Every authorization produces a time-bound, cryptographically signed grant.

Complete Audit Trail
Every decision, every action, every piece of evidence—immutably recorded.

Zero-Trust by Design
No action succeeds without explicit proof. Evidence-based policy evaluation.

Slide 04

Slide 4: How It Works

Authorization Flow

┌─────────────┐
│   Request   │  (Deploy contract, create pod, apply terraform)
└──────┬──────┘
       │
       ▼
┌─────────────┐
│    Agent    │  (Domain-specific: Web3, K8s, Terraform, etc.)
└──────┬──────┘
       │
       ▼
┌─────────────┐
│   Policy    │  (QPL evaluation with evidence)
│ Evaluation  │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│    Grant    │  (Cryptographically signed, time-bound)
│  Issuance   │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│   Audit     │  (Immutable trail with signatures)
│   Trail     │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Blockchain  │  (Optional: Merkle root anchored on-chain)
│  Anchoring  │
└─────────────┘

Slide 05

Slide 5: Core Principles

1. Zero-Trust by Design

Every action requires cryptographic proof. No implicit trust, no ambient authority.

2. One Policy Language

QPL governs all domains. Write once, enforce everywhere.

3. Hybrid Infrastructure

Seamlessly govern on-chain and off-chain operations with unified policies.

4. Cryptographic Grants

Time-bound, capability-based authorization with cryptographic signatures.

5. Complete Audit Trail

Every decision, every action, every piece of evidence—immutably recorded and verifiable.

6. Real-Time Enforcement

Policy evaluation in milliseconds. Admission control, pre-deployment checks, runtime governance.

Slide 06

Slide 6: Use Cases

Web3 Governance

Control smart contract deployments with cryptographic proof. Verify audits, enforce gas limits, maintain complete on-chain audit trails.

Kubernetes Admission

Real-time policy enforcement at the admission webhook level. Prevent privileged pods, enforce resource limits, validate security contexts.

Terraform Governance

Govern infrastructure-as-code with approval workflows. Protect production, enforce change windows, require attestations.

MLOps Control

Govern model deployments and training pipelines. Verify data provenance, enforce compute limits, audit model lineage.

CI/CD Pipeline Security

Zero-trust CI/CD with cryptographic grants. Control deployments, verify artifacts, enforce approval gates across GitHub and GitLab.

Slide 07

Slide 7: Technical Architecture

Core Components

Policy Service (Rust)
QPL parser, evaluator, and policy storage

Grants Service (Rust)
Cryptographic grant issuance and verification

Evidence Service (Rust)
Evidence collection, verification, and storage

Audit Service (Rust)
Immutable audit trail with cryptographic signatures

Anchor Service (Rust)
Blockchain anchoring with Merkle tree batching

Agents (Rust, TypeScript)
Domain-specific: Web3, K8s, Terraform, MLOps, CI/CD

Infrastructure

  • PostgreSQL (metadata)
  • Redis (cache)
  • NATS (events)
  • Vault (secrets)
  • Optional: Ethereum/Polygon (anchoring)

Slide 08

Slide 8: Competitive Landscape

vs. OPA/Kyverno

Cross-domain: Not just K8s, but Web3, Terraform, MLOps, CI/CD
Cryptographic: Signed grants, not just policy evaluation
Audit trail: Complete, immutable, blockchain-anchored

vs. HashiCorp Sentinel

Open source: No vendor lock-in
Domain-agnostic: Not just Terraform
Cryptographic proof: Signed grants with evidence

vs. Manual Processes

Automated: Policy enforcement, not manual approvals
Auditable: Complete trail, not scattered logs
Scalable: Handles thousands of requests/second

Slide 09

Slide 9: Market Opportunity

Target Market

  • Platform Engineering Teams (10-500 employees)
  • Web3 Companies (DeFi, NFT, DAOs)
  • Regulated Industries (Fintech, Healthcare, Government)
  • Multi-Cloud Enterprises
  • AI/ML Companies (MLOps governance)

Market Size

  • DevOps Tools Market: $10B+ (2024)
  • Cloud Security Market: $45B+ (2024)
  • Web3 Infrastructure: $5B+ (2024)
  • Compliance/Audit Tools: $15B+ (2024)

Growth Drivers

  • Increasing regulatory requirements (SOC2, HIPAA, GDPR)
  • Rise of Web3 and hybrid infrastructure
  • Platform engineering movement
  • Zero-trust adoption
  • AI/ML governance needs

Slide 10

Slide 10: Business Model

Pricing Tiers

Community (Free)

  • Up to 100 policy evaluations/day
  • Single domain
  • Community support
  • Self-hosted only

Professional ($3,000/month)

  • Unlimited policy evaluations
  • All agents (Web3, K8s, Terraform, MLOps, CI/CD)
  • Full platform access
  • Email support
  • Self-hosted

Enterprise (Custom)

  • Everything in Professional
  • Dedicated support engineer
  • Custom SLA
  • On-premise deployment assistance
  • Custom integrations
  • Training & workshops

Revenue Model

  • Subscription-based (monthly/annual)
  • Self-hosted (no per-seat pricing)
  • Support contracts (implementation, training)
  • Enterprise features (custom integrations, dedicated support)

Slide 11

Slide 11: Go-to-Market Strategy

Phase 1: Early Access Program (Now)

  • 5-8 pilot customers at 50% discount ($1,500/month)
  • Hands-on support (2 weeks implementation + ongoing)
  • Case studies and testimonials
  • Product-market fit validation

Phase 2: Community Building (Months 1-6)

  • Open source release (GitHub)
  • Documentation and tutorials
  • Blog posts and technical content
  • Conference talks (KubeCon, DevOpsDays, etc.)
  • Discord/Slack community

Phase 3: Growth (Months 6-12)

  • Self-service onboarding
  • Marketplace integrations (AWS, GCP, Azure)
  • Partner ecosystem (consulting firms, SIs)
  • Enterprise sales motion

Phase 4: Scale (Year 2+)

  • Managed service offering (optional)
  • Multi-region support
  • Advanced features (ML-based policy recommendations, etc.)
  • International expansion

Slide 12

Slide 12: Early Access Program

Limited Offer: 5-8 Pilot Spots

Pricing: $1,500/month (50% off)
Duration: 6 months
Support: Hands-on implementation + weekly calls

What's Included

✅ Full platform access (all agents, all features)
✅ 2 weeks implementation support
✅ Direct Slack/Discord channel
✅ Weekly sync calls
✅ Priority feature requests
✅ Shape the roadmap
✅ Case study opportunity

Ideal Pilot Customer

  • 10-500 employees (sweet spot: 50-200)
  • Multiple infrastructure domains
  • Security-conscious with compliance needs
  • Early adopter mindset
  • Kubernetes, IaC, and/or Web3 in production

Slide 13

Slide 13: Traction & Roadmap

Current Status

Core platform built and tested
All agents implemented (Web3, K8s, Terraform, MLOps, CI/CD)
QPL language complete
Cryptographic grants system operational
Audit trail with blockchain anchoring
E2E tests passing
Documentation complete

Roadmap (Next 6 Months)

  • Q1 2024: Early access program (5-8 customers)
  • Q2 2024: Open source release, community building
  • Q3 2024: Self-service onboarding, marketplace integrations
  • Q4 2024: Enterprise features, partner ecosystem

Future Features

  • ML-based policy recommendations
  • Policy testing framework
  • Visual policy editor
  • Multi-region support
  • Managed service offering

Slide 14

Slide 14: Team

Founder

[Your Name]

  • Background in [relevant experience]
  • Expertise in [security/cryptography/infrastructure]
  • Previous work on [relevant projects]

Advisors

Open Source Community

  • Active contributors on GitHub
  • Discord/Slack community
  • Technical advisory board (forming)

Slide 15

Slide 15: Call to Action

Join the Q-Trust Plane Pilot Program

5-8 spots available
50% discount ($1,500/month)
6 months of hands-on support

Next Steps

  1. Apply: qtrust-plane.vercel.app/early-access
  2. Initial Call: 30-minute discussion (within 2 business days)
  3. Technical Deep Dive: 60-minute architecture review
  4. Onboarding: Deployment and training (2 weeks)

Contact

Email: mayckonrlyeh@gmail.com
Website: qtrust-plane.vercel.app
GitHub: github.com/qtrust-plane

Slide 16

Slide

Ready to deploy cryptographic zero-trust governance?
Let's talk.