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🛡️ CyberViser — Hancock AI Security Platform

Business Proposal & Go-to-Market Strategy

Executive Summary

CyberViser is developing Hancock, an AI-powered cybersecurity agent that automates the work of penetration testers, SOC analysts, and CISOs through specialized large language models (LLMs). Built on a fine-tuned Mistral 7B backbone using NVIDIA NIM infrastructure, Hancock delivers expert-level security guidance via a simple REST API — deployable in any environment.

The cybersecurity talent shortage is at a crisis point: there are 3.5 million unfilled cybersecurity jobs globally (Cybersecurity Ventures, 2025). Hancock doesn't replace security professionals — it multiplies them, enabling lean teams to operate at enterprise scale.

The Problem

Challenge Reality
Talent shortage 3.5M unfilled security roles globally
Alert fatigue SOC analysts process 1,000+ alerts/day; 45% go uninvestigated
Pentest cost Avg. pentest costs $15,000–$50,000 per engagement
Skill gap Junior analysts lack institutional knowledge for complex incidents
Speed Manual triage takes hours; breaches happen in minutes

The Solution: Hancock

Hancock is a multi-modal AI security agent that operates in three specialist modes:

🔴 Pentest Mode

Automated offensive security guidance — recon, exploitation paths, CVE analysis, and professional report generation. Powered by MITRE ATT&CK and NVD/CVE fine-tuning.

🔵 SOC Analyst Mode

Real-time alert triage, SIEM query generation (Splunk SPL, Elastic KQL, Sentinel KQL), incident response playbooks (PICERL), threat hunting, and detection engineering (Sigma/YARA rules).

👔 CISO Strategy Mode

Board-level risk reporting, compliance automation (SOC2, ISO 27001, NIST CSF), security program roadmaps, and executive summaries.

Product Architecture

┌─────────────────────────────────────────────────────┐
│                    HANCOCK AGENT                    │
│                                                     │
│  ┌──────────┐  ┌──────────┐  ┌──────────────────┐  │
│  │ Pentest  │  │   SOC    │  │  CISO Strategy   │  │
│  │ Specialist│  │ Analyst  │  │                  │  │
│  └──────────┘  └──────────┘  └──────────────────┘  │
│                                                     │
│  ┌─────────────────────────────────────────────┐    │
│  │           REST API (Flask)                  │    │
│  │  /v1/chat  /v1/triage  /v1/hunt  /v1/respond│    │
│  │  /v1/code  /v1/ciso  /v1/sigma  /v1/yara   │    │
│  │  /v1/ioc  /v1/webhook                       │    │
│  └─────────────────────────────────────────────┘    │
│                                                     │
│  ┌─────────────────────────────────────────────┐    │
│  │     Mistral 7B + LoRA Fine-Tuning           │    │
│  │     NVIDIA NIM Inference Backend            │    │
│  └─────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────┘

Market Opportunity

Segment Market Size (2025) CAGR
Global Cybersecurity Market $217B 12.3%
AI in Cybersecurity $38.2B 21.9%
Managed Security Services $46.4B 15.8%
Penetration Testing Market $4.5B 13.7%

Target market: Mid-market enterprises (200–5,000 employees), MSSPs, security consultancies, and government/defense contractors.

Revenue Model

Tier 1 — Open Source (Community)

  • Free — self-hosted, CyberViser Proprietary License (free for personal/research use)
  • Drives adoption, community contributions, and talent pipeline
  • API-compatible for ecosystem integrations

Tier 2 — Hancock Pro ($299/month per seat)

  • Managed cloud deployment (NVIDIA NIM hosted)
  • Extended model capabilities (larger context, fine-tuned on proprietary datasets)
  • Priority support + SLA guarantees
  • Audit logs, RBAC, SSO

Tier 3 — Hancock Enterprise (Custom pricing)

  • On-premise or private cloud deployment
  • Custom fine-tuning on client's internal security data
  • Dedicated model instance
  • Integration with existing SIEM/SOAR platforms
  • Professional services: onboarding, playbook customization, training

Tier 4 — API Marketplace

  • Usage-based pricing ($0.008/request)
  • Targeted at developers building security tooling
  • Available via AWS Marketplace, Azure Marketplace, NVIDIA NIM catalog

Competitive Landscape

Competitor Focus Weakness vs. Hancock
Microsoft Copilot for Security General enterprise Generic, expensive, cloud-only
Google Security AI Workbench Threat intel No pentest capability
Veracode AI AppSec only Narrow scope
SentinelAI EDR-focused No IR playbooks or hunt logic
Hancock Full-stack security Open, deployable, specialized

Key differentiators:

  1. Specialized fine-tuning — not a general LLM with a security prompt
  2. Deployable anywhere — local, private cloud, or NVIDIA NIM
  3. Open source core — trust through transparency
  4. Multi-modal — pentest + SOC + CISO in one agent
  5. NVIDIA NIM native — fastest path to enterprise GPU inference

Roadmap

Phase Focus Timeline Status
Phase 1 Pentest Specialist + SOC API Q1 2025 ✅ Live
Phase 2 SOC deep specialization + detection engineering Q3 2025 ✅ Live
Phase 3 CISO strategy + compliance automation Q1 2026 ✅ Live
Phase 4 Enterprise platform + SIEM/SOAR integrations Q3 2026 🔨 Building

Go-to-Market Strategy

Phase 1: Community Growth (Months 1–6)

  • Open source release on GitHub under cyberviser/Hancock
  • Submit to NVIDIA NIM catalog as a featured security agent
  • Content marketing: write-ups on MITRE ATT&CK use cases, SOC automation blogs
  • Engage the security community via DEF CON, Black Hat, BSides presentations
  • Target: 500 GitHub stars, 100 active API users

Phase 2: Commercial Launch (Months 7–12)

  • Launch Hancock Pro through the 0AI portfolio hub
  • Partner with 3 MSSPs for pilot deployments
  • List on AWS Marketplace and Azure Marketplace
  • Target: $50K ARR, 10 paying customers

Phase 3: Enterprise Scale (Year 2)

  • Direct sales to mid-market enterprises
  • Channel partnerships with security consultancies
  • Government/FedRAMP compliance pathway
  • Target: $500K ARR, 50 enterprise customers

Investment Ask

CyberViser is seeking $500,000 in seed funding to accelerate:

Use of Funds Allocation Amount
Engineering (2 ML engineers + 1 backend) 50% $250,000
NVIDIA NIM compute credits 20% $100,000
Security data licensing & fine-tuning 15% $75,000
Go-to-market & sales 10% $50,000
Legal, compliance, operations 5% $25,000

18-month runway targeting $500K ARR before Series A.

Team

Role Expertise
Founder / CEO Cybersecurity + AI/ML engineering
(Hiring) ML Engineer LLM fine-tuning, RLHF, NVIDIA NIM
(Hiring) Security Researcher Red team, MITRE ATT&CK, detection engineering

Traction

  • ✅ Working Pentest + SOC + CISO + Code REST API (Phases 1–3 complete)
  • ✅ Fine-tuning pipeline on Mistral 7B with LoRA (v3 dataset: 5,670 samples)
  • ✅ MITRE ATT&CK + NVD/CVE + CISA KEV + Atomic Red Team + GHSA dataset collection automated
  • ✅ CLI + API with 12 specialized security endpoints
  • ✅ NVIDIA NIM inference integration
  • ✅ HuggingFace Space live demo (9 tabs)
  • ✅ Python + Node.js SDKs

Contact

GitHub: github.com/cyberviser/Hancock
Portfolio Hub: 0ai-cyberviser.github.io/0ai
Email: 0ai@cyberviserai.com

"Hancock operates strictly within authorized scope and legal boundaries. All training data is sourced from public, legal cybersecurity knowledge bases."

© 2026 CyberViser. All rights reserved. This document is confidential and intended for potential investors and partners only.