--- title: "Build Your Defense Factory: AI Agents That Find and Fix Vulnerabilities | Vindler" description: "We build Defense Factories, the agent-first security operation described in OpenAI's playbook, on your existing tools: inventory, discovery, validation, ownership routing and verified fixes, with isolated environments and a full audit trail." url: "https://vindler.solutions/hire/defense-factory" locale: "en" updatedAt: "2026-11-06" --- # Build Your Defense Factory Agents that investigate every finding, test whether it is exploitable, route it to the right owner with evidence, prepare the patch and retest the deployed fix. We build it on the scanners, repositories and trackers you already run, following the structure of OpenAI's Defense Factory playbook. Tell Us About Your Project AWS Partner  ·  Agent pipelines shipped for Voodoo Technology Partners [AWS Partner Network](https://aws.amazon.com/partners/)[LangChain](https://www.langchain.com/) Recognized by Clutch [Top Clutch AI Consulting Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company São Paulo 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch Chatbot Company Brazil 2026](https://clutch.co/profile/vindler-solutions) ## Your Scanners Find More Than Your Team Can Fix Duplicates hide priorities, findings wait for an owner, and a merged patch gets marked done without anyone checking the fix in production. Meanwhile attackers have open-weight models and agents that chain weaknesses faster than a person can triage them. A Defense Factory moves the routine investigation to agents and keeps your engineers on the decisions. We wrote up how OpenAI's playbook works and where the engineering effort goes in [How to Build a Defense Factory](https://vindler.solutions/blog/how-to-build-a-defense-factory). ## What We Build One stage of the loop per card, from inventory to a fix verified in production. ### Asset Inventory and Ownership Agents reconcile cloud records, deployment configuration and service ownership into one inventory, linking each exposed endpoint to its code and its owner, with the gaps listed. ### Discovery Scans guided by the inventory, your threat model and your security policy, merged with the findings your existing tools already produce into one pool of candidates. ### Dynamic Validation Agents test suspected exploits against a runnable copy of the service in an isolated environment, keep the reproduction evidence and remove duplicates, so engineers only see findings that hold up. ### Ownership Routing Company-specific skills that turn a validated finding into an issue in your tracker, assigned to a named owner, with the evidence attached. ### Verified Remediation A focused patch with validation evidence goes to human review. After your normal deploy, an independent check retests the fix in production and records the result. ### The Platform Underneath Reproducible environments for your priority services, a credential proxy so agents never hold secrets, policy enforcement, monitoring of agents, hosts and network activity, and an audit log of every agent action. Built by Senior Engineers ## How We Build It **On your tools.** No new security platform to buy. Agents connect to your scanners, repositories, cloud accounts and issue tracker through APIs, command-line tools and MCP servers, and the skills live in your repository. **The agents are part of the attack surface.** The July 2026 Hugging Face incident showed agents with exposed credentials chaining access across connected systems. Every agent we deploy runs isolated, with scoped short-lived credentials and no route to production without a human approval. Our write-up of this year's agent incidents explains the controls: [AI agent security is application security](https://vindler.solutions/blog/ai-agent-security-is-application-security). **Measured from week one.** Coverage, finding quality, time from finding to owner, verified fixes and human hours per fix, on a dashboard your leadership can read. ## Tools We Work With The factory plugs into what you already run. These are common starting points. OpenAI Codex Claude Code Agent skills MCP servers Docker Kubernetes AWS GitHub GitLab Jira Linear Semgrep Snyk Dependabot Langfuse ## How the Engagement Runs Start with one workflow, then extend coverage. Step 1 ### Call with an Engineer 45 minutes with Carlos, who founded Vindler. Bring your current finding backlog and the tools that produce it. Step 2 ### Readiness Review, One Week, $4,500 We map inventory and ownership gaps, check which priority services can run in a reproducible environment, pick the first workflow and list the controls the agents need. You get a written six-week plan with a fixed cost. The fee is credited to the build. Step 3 ### Six-Week Build, From $25,000 One workflow end to end, from discovery to a verified fix, on your systems and in your accounts. Then we extend coverage service by service, or hand it to your team with the runbooks. ## Frequently Asked Questions ### ### ### ### ### ### ### Vindler Solutions is a member of the OpenAI Partner Network. This page is our own work and is not endorsed by OpenAI. "Defense Factory" is the term used in OpenAI's Defense Factory playbook. ## Start with One Workflow Book a 45 minute call. Bring your finding backlog, and you leave knowing which workflow to automate first and what it takes. Free 45-minute call with an engineer One week Readiness Review, $4,500 fixed, credited to the build First workflow in production in six weeks ### Tell Us About Your Backlog Which scanners you run, roughly how many open findings, and where they stall. We reply within 24 hours. ## Structured data ```json {"@context":"https://schema.org","@type":"Organization","@id":"https://vindler.solutions/#organization","name":"Vindler","alternateName":"Vindler Solutions","legalName":"Vindler Desenvolvimento de Sistemas de IA Ltda - EPP","url":"https://vindler.solutions","logo":"https://vindler.solutions/logo.png","description":"Vindler is a global AI engineering consultancy specializing in custom AI solutions, LLM integration, and enterprise-grade AI systems.","foundingDate":"2025-06-02","foundingLocation":{"@type":"Place","name":"São Paulo, Brazil"},"taxID":"61.102.920/0001-05","email":"contact@vindler.solutions","telephone":"+1-646-846-5339","numberOfEmployees":{"@type":"QuantitativeValue","minValue":1,"maxValue":10},"areaServed":[{"@type":"Country","name":"United States"},{"@type":"Place","name":"Europe"},{"@type":"Country","name":"Brazil"}],"knowsAbout":["Multi-agent systems","Retrieval-augmented generation","Voice AI agents","LangChain","LangGraph","LiveKit","AWS Bedrock","Model Context Protocol","LLM observability and evaluation"],"founder":{"@type":"Person","@id":"https://vindler.solutions/about#carlos-dutra","name":"Carlos Dutra","jobTitle":"Founder and CEO","url":"https://vindler.solutions/about","sameAs":["https://www.linkedin.com/in/carlosdutra","https://github.com/cdutr"]},"contactPoint":{"@type":"ContactPoint","contactType":"Customer Support","email":"contact@vindler.solutions","telephone":"+1-646-846-5339","url":"https://vindler.solutions/contact","availableLanguage":["English","Portuguese","Spanish"]},"address":[{"@type":"PostalAddress","addressLocality":"São Paulo","addressRegion":"SP","addressCountry":"BR","streetAddress":"Av. 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The Defense Factory itself is a playbook: OpenAI publishes it with example skills and does not sell a Defense Factory product. We build the operation it describes on your systems, and this page is our own work, not endorsed by OpenAI."}},{"@type":"Question","name":"Which models do you use?","acceptedAnswer":{"@type":"Answer","text":"OpenAI models through Codex, or Anthropic models through Claude Code, depending on what your company already licenses and what an evaluation on your own findings shows. If you want OpenAI's specialised cyber models, your company applies for Daybreak access in its own name."}},{"@type":"Question","name":"Do we need to replace our scanners or vulnerability management tool?","acceptedAnswer":{"@type":"Answer","text":"No. The factory takes their output as input and adds investigation, validation and verification around it."}},{"@type":"Question","name":"Will agents push code to production?","acceptedAnswer":{"@type":"Answer","text":"No. Agents prepare patches with evidence and open them for review. Your engineers approve and your normal pipeline deploys. The agents then retest the deployed fix."}},{"@type":"Question","name":"How long does the first workflow take?","acceptedAnswer":{"@type":"Answer","text":"OpenAI's playbook plans six weeks for the first surge, and our build follows the same shape. The usual cause of delay is services that cannot yet run in a reproducible environment, which the Readiness Review identifies in the first week."}},{"@type":"Question","name":"What does it cost?","acceptedAnswer":{"@type":"Answer","text":"The Readiness Review is $4,500 fixed. The first six-week build starts at $25,000. Extensions bill at $150 to $199 per hour or as a monthly retainer."}}]} ```