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Engineering AI-Attack Defense for Main Street

MachBlue defends small businesses at machine speed, through the Managed Service Providers (MSPs) they already trust. Led by a former senior leader at U.S. Cyber Command, MachBlue gives MSPs one platform to grow their client base and defend clients.

Industry Cybersecurity (AI-Attack Defense)
Location Washington, DC
Impact Launched from zero in ~6 months

The Challenge

Attackers have held the edge over small businesses for decades. AI now gives them an even greater advantage. In 2026, AI agents compressed an intrusion that would take human attackers about two weeks into under ten hours, and the average attacker now spreads from first access to the rest of a network in 29 minutes.

deploy, improve and scale desktop

What Shaped the Platform

The challenge - first tab

The Response Gap

Most small businesses can't afford an enterprise security operations center, so they rely on MSPs. Most MSPs rely on human-led detection services that raise alerts and hand response back to overworked technicians. This workflow, which always has humans in the loop, will be outrun by emerging AI attacks using coordinated agents running at machine speed.

How We Approached It

We partnered with MachBlue to take BlueCenter from an empty repository to a live, multi-tenant AWS product in about six months, while advancing BlueScan and BlueGuard in parallel as MSP demand pulled them forward. Across all three products, we supported architecture, risk scoring, remediation workflows, prospecting, integrations, onboarding, testing, infrastructure, and tenant-aware access.

human review

A Closer Look At Our Approach

Partnership in Practice

A closer look at how we worked together on this project, including the engineering decisions, delivery practices, and collaboration model that helped us accomplish the goal.

  1. Step 1: Architecture Before Scale

    Documented 59 Architecture Decision Records (ADRs) covering tenant isolation, scoring, integrations, and AI boundaries. Kept three products evolving in parallel on consistent technical ground, including lines on where AI acts and where humans decide.

  2. Step 2: Tenant Isolation by Design

    Segmenting customers from one another is a critical priority for MSPs. Tenant isolation lives in the application's data-access layer, backed by AWS Cognito authentication and role-based permissions for admins, security leads, and technicians.

  3. Step 3: Tested at External Boundaries

    Unit, integration, and Playwright end-to-end tests cover critical workflows, with BlueGuard, Cognito, i-risk, and AWS Secrets Manager mocked so the suite stays dependable as integrations multiply.

  4. Step 4: Disciplined Delivery Automation

    Terraform, GitHub Actions, CodeRabbit, Claude Code, and Codex supported repeatable infrastructure, continuous integration, and an additional review layer on every PR. We use AI-assisted delivery, but humans still own every decision.

The Solution

We helped MachBlue build BlueScan, BlueGuard, and BlueCenter as one connected platform that follows the MSP's own path: win the account, defend the client, and run every client from a single view.

grow

Grow

Prospecting that opens doors. BlueScan uses publicly observable security data to find small businesses with real exposure, then generates PDF risk briefings an MSP can bring to a first meeting. One Top-30 US MSP, reviewing how accurate and current the findings were, told MachBlue: "We thought you had hacked our network."

Results & Impact

In roughly six months, we partnered with MachBlue to take BlueCenter from an empty repository to a live, multi-tenant AWS product while advancing BlueScan and BlueGuard in parallel. Phase 1 of the products is complete.

~6 Months

From first commit to a deployed, multi-tenant production product.

1,300+ commits

Across 250+ merged PRs delivered by 1 engineer.

410 Test Files + 117 E2E Specs

Unit/integration test files plus Playwright end-to-end specs across critical workflows and external boundaries.

86 Migrations

Versioned database changes supported rapid product evolution with controlled schema changes.

Our Tool Stack

Built with Next.js 16 (App Router), React 19, TypeScript, Tailwind 4, shadcn/ui, PostgreSQL, Drizzle ORM, NextAuth v5, AWS Cognito, Recharts, d3, @react-pdf/renderer, AWS ECS Fargate, RDS, ECR, S3, Terraform, GitHub Actions, Vitest, Playwright, CodeRabbit, and Codex.

Client Testimonial

Real impact, real growth. Hear directly from the team at MachBlue.

“AI agents are changing how small businesses get attacked, and MSPs need defense that moves at machine speed without taking control away from them. Stack Builders helped us get a multi-tenant platform into production in about six months, with the tenant isolation, testing, and architectural discipline a security product demands. The team is solid and gets the job done, and working remotely has never slowed us down.”

Looking Forward

MachBlue's vision: every small business defended so well we insure it. Next come new layers of AI-Attack Defense, each built to make a coordinated AI attack harder: hardening that shrinks the attack surface AI agents can reach, deception that lures and exposes them, and resilience that keeps watch even if an attacker disables the EDR. In 2027, MachBlue plans to add insurance priced on proof, not on a questionnaire, with premiums that fall as a client's defense improves.

Stack Builders will keep partnering with MachBlue as the platform grows, with the same disciplined engineering and a foundation built to scale.

In cybersecurity, getting to market fast only counts if the product holds up as integrations multiply, customers grow, and attackers adapt. Need an engineering partner who can help you scale a complex cybersecurity product with confidence?