Anthropic’s Claude Code was used in a state-sponsored operation that automated reconnaissance, credential theft, and data extraction at extreme speed, running 80 to 90% automated loops with rapid MCP tool calls. This matters for enterprises because AI inside your org can move just as fast — whether it’s a bad actor or a well-intentioned employee. Full post 👇 #EnterpriseAI #AIGovernance #AgenticAI #ModelContextProtocol #AISecurity
Barndoor AI
Software Development
New York, NY 667 followers
Your Control Plane for Agentic AI
About us
As more AI agents take on work across your company, it’s not just harder to see which agents are doing what — it’s riskier. Barndoor brings visibility and control into one place, giving enterprise teams the granular access, policy enforcement, and oversight they need to scale AI safely. Now you can use AI with confidence across every team, tool, and action. Stop chasing AI usage. Start controlling it.
- Website
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https://barndoor.ai/?utm_source=linkedin
External link for Barndoor AI
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2024
Locations
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Primary
Get directions
1216 Broadway
New York, NY 10001, US
Employees at Barndoor AI
Updates
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CIOs are heading toward a world where every employee could use hundreds, even thousands, of AI agents. Keeping that in check takes a different kind of control. Our Founder and CEO, Oren Michels sat down with Chad C. Harvey on the AI for the C-Suite podcast to unpack what it takes to manage AI at enterprise scale. 🎧 Listen to the full episode in the comments.
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Barndoor now runs wherever you operate — across AWS, Google Cloud, Azure, OCI, private cloud, on-prem, and fully air-gapped environments. Designed to meet your infrastructure, security, and compliance requirements without compromise. Full announcement in comments. 👇 #AIsecurity #EnterpriseAI #AIGovernance #OnPrem #PrivateCloud #ModelContextProtocol
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Barndoor AI reposted this
It’s been exciting to see builders like Barndoor AI experiment with our Plaid MCP Sandbox server - designed to help developers safely test and integrate Plaid in AI-powered workflows. This recent blog from Barndoor showcases how they’ve layered their own access control and governance tools on top of Plaid’s infrastructure to enable secure, multi-system AI flows. We launched MCP to make it easier for developers to create intelligent, contextual experiences using Plaid and we’re glad to see that momentum picking up. Happy building! Check out the Barndoor Blog to learn more: https://lnkd.in/ewPW5uws #Plaid #MCP #DeveloperTools #BuildWithAI #OpenInfra #Fintech
Plaid is showing what AI in fintech could look like with its new MCP servers that let developers safely experiment and explore how conversational interfaces can simplify real financial workflows. Check out our latest article which outlines how this shift could redefine how businesses and consumers interact with money, and how Barndoor secures and governs those AI-to-data connections every step of the way. 👉 Read the full article: https://lnkd.in/e97cCEzd #Fintech #AI #MCP #AISecurity #FinancialServices #ModelContextProtocol
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Plaid is showing what AI in fintech could look like with its new MCP servers that let developers safely experiment and explore how conversational interfaces can simplify real financial workflows. Check out our latest article which outlines how this shift could redefine how businesses and consumers interact with money, and how Barndoor secures and governs those AI-to-data connections every step of the way. 👉 Read the full article: https://lnkd.in/e97cCEzd #Fintech #AI #MCP #AISecurity #FinancialServices #ModelContextProtocol
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Tuesday night's #SFTechWeek panel on the Future of Agentic AI and MCP brought together a packed room and some really sharp thinking on where we're going. Our top three takeaways 👇 1️⃣ Agentic AI wins are happening in focused areas. Teams seeing real success are tackling specific workflows like field support, procurement, or RFP management and then working towards multi-agent systems. 2️⃣ Context engineering > prompt engineering. Getting AI the right data at the right time is what drives accuracy, efficiency, and trust with agents. 3️⃣ Connecting systems to MCP is getting easier, but teams still need the fundamentals to ensure safe deployment in production which include: policy controls, logging, audit trails, and runtime enforcement. Big thanks to our co-host Sarah Jane (SJ) Morris from HubSpot for Developers and to our panelists for the thoughtful discussion: Neil Mansilla from Barndoor, Chris Riley& Rishav P. from HubSpot, Darpan Dinker from DigitalOcean, and Jenna Pederson from Pinecone. #AgenticAI #MCP #AIGovernance #AISecurity
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The next chapter of enterprise AI is being written now. At #SFTechWeek, Barndoor AI, HubSpot for Developers, and DigitalOcean are hosting a candid discussion on The Future of Agentic AI and MCP. Panelists include: Neil Mansilla – Platform Strategy, Barndoor AI Chris Riley – Head of Developer Advocacy, HubSpot Rishav P.. – Technical Lead - AI Connector Platform, HubSpot Darpan Dinker – VP, AI/ML and PaaS, DigitalOcean We'll explore: 🔹 MCP strategies that work in production 🔹 Security guardrails that enable (don't block) innovation 🔹 Real workflows beyond proof-of-concepts Plus drinks, bites, and actual actionable insights you can start using. 📅 Oct 7 | 6–9 PM PST | 1 block from BART ➡️ Spots are filling up fast! RVSP now to grab your seat: https://bit.ly/3W8OS6o
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We’re at BoxWorks, where enterprises are asking the big AI questions. At the top: how to get real ROI from AI without putting the business at risk. That’s what our session — Access vs. Risk: Solving AI’s Hardest Tradeoff — is all about. 📍 AI Zone Theater | 2:40pm Oren Michels and Chris Lippi will share how security, visibility, and control at the MCP layer unlock AI’s value safely, across every employee and system. 👉 Don’t miss it—come by the AI Zone Theater at 2:40pm and bring your questions. #BoxWorks #EnterpriseAI #MCPSecurity #AIsecurity #AIGovernance
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Barndoor AI reposted this
AI isn’t just going to make technology smarter. It’s going to make people smarter. Not because of what the big AI labs are building, but because billions of people — many without technical backgrounds — can now create, explore, and build using natural language. That’s where the next breakthroughs will come from. Of course, with that much activity, we’ll need new rules and governance to keep things trustworthy — including stronger security and oversight at the MCP layer, where agents connect to enterprise systems. My perspective on how billions of new users, most without technical backgrounds, will shape the future of AI more than the labs will is in the piece linked below. #AI #AgenticAI #MCPSecurity #AIgovernance #FutureOfWork #AISecurity