137Forge
137Forge

Secure Architecture / AI Engineering / Fielded Execution

Secure engineering for AI-enabled systems.

137Forge helps lean teams design secure architecture, review AI and cyber risk, engineer private LLM workflows, and validate the controls that keep sensitive systems usable.

The work connects leadership decisions to implementation details: identity, data boundaries, local or cloud AI systems, evidence paths, validation, and operating transition.

Veteran-owned. CISSP-led. Engineering-focused.

Explore AI engineering

Architecture

Trust boundaries, controls, evidence

AI Engineering

Private LLM and RAG systems

Security Engineering

Identity, access, cloud, and data boundaries

Validation

Scoped remediation and transition

Architecture

Secure system design, trust boundaries, control intent

AI Systems

Private LLM, RAG, retrieval, validation, evidence trails

Control Readiness

Evidence paths, ownership, remediation planning

Execution

Scoped remediation, validation, documentation, transition

What We Do

Security architecture and engineering for environments where controls matter.

137Forge connects cyber risk decisions to secure implementation: local and cloud AI workflows, evidence-backed controls, vendor responsibility, identity boundaries, backup readiness, and remediation work internal teams can maintain.

01

Boundary Map

Security Architecture & vCISO-Lite Advisory

Executive-ready security guidance backed by architecture depth: risk prioritization, vendor responsibility, board-ready reporting, control intent, and practical security leadership.

02

Local LLM Path

AI Engineering & Local LLM Systems

Secure architecture and implementation support for private LLMs, local inference, controlled RAG workflows, data boundaries, validation, and operating transition in regulated environments.

03

Field Build

Forward-Deployed Security Engineering

Scoped implementation, remediation, validation, and transition support when identity, backup, network, cloud, evidence, or access-control decisions need engineering depth.

04

Threat Map

Risk Assessment & Control Readiness

Threat and exposure assessment, vendor/MSP review, AI risk review, evidence organization, and practical remediation planning for regulated environments.

05

Team Enablement

Cybersecurity Training & Risk Enablement

Plain-English training tailored around the business, its systems, regulated data, vendors, backups, and the realistic risks most likely to affect operations.

Engineering Graph

Work moves from risk picture to verified operation.

The engagement is deliberately simple: understand the system, map the boundary, build the change, and verify the result. The graph is a visual index, not a dashboard.

Review01

Review

Use case, data, architecture, vendor, and control context

Map02

Map

Trust boundaries, evidence paths, ownership, and risk decisions

Build03

Build

Scoped implementation for AI, identity, access, and cloud controls

Validate04

Validate

Operating notes, test evidence, residual risk, and transition

Enterprise Engineering Focus

Built for regulated teams adopting AI without losing control.

Local AI Systems

Private LLM architecture that respects data boundaries.

Design and implementation support for local inference, controlled retrieval, source provenance, identity-aware access, and validation notes teams can operate.

Control Readiness

Evidence paths that support regulated work.

Support for control alignment, evidence collection, remediation planning, and vendor responsibility clarity without turning the work into another control platform.

Security Engineering

Remediation that moves from decision to verified operation.

Scoped engineering for identity, network boundaries, backup validation, SaaS/cloud controls, operating documentation, and implementation evidence.

Who It Helps

Regulated and sensitive teams that need architecture clarity before more spend.

The common thread is sensitive work handled by lean teams: customer data, financial records, operational systems, vendor dependencies, identity risk, and pressure from insurance, customers, owners, boards, or regulators.

Fit 01

Lean IT Teams in Regulated Businesses

Small banks, lenders, insurance offices, CPA/tax firms, healthcare-adjacent businesses, defense subcontractors, and professional service firms that already have IT support but need stronger security oversight.

Fit 02

Customer-Data-Heavy Businesses

Organizations handling customer, financial, operational, tax, insurance, healthcare-adjacent, contractor, or regulated workload data without a large security team.

Fit 03

Vendor-Managed Environments

Teams using internal IT, outsourced IT, MSP support, Google Workspace, Microsoft 365, UniFi, or small business network infrastructure that need clearer responsibility and risk visibility.

Fit 04

Security-Conscious Owners and Boards

Owners, executives, boards, and operators under pressure from cyber insurance, audits, customers, vendors, or regulators who need plain-English next steps.

Security AdvisoryvCISO-Lite AdvisoryLocal LLM EngineeringPrivate RAG ArchitectureControl ReadinessEvidence PathsThreat & Exposure AssessmentSmall Business Threat AssessmentCISA/SBA-Aligned ReviewForward-Deployed Security EngineeringRisk Assessment ServicesAI Risk ReviewSecure AI Architecture DesignAI Control ValidationAI Validation SupportCybersecurity TrainingVendor/MSP ResponsibilityIdentity & Access BoundariesBackup & Ransomware ReadinessLeadership-Ready Risk Summary

Talk through your environment before buying another answer.

Contact 137Forge to discuss threat and exposure assessment, vCISO-lite security advisory, AI engineering for local LLM systems, secure architecture design, control readiness, cybersecurity training, or targeted engineering support.