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ArcMantis

ArcMantis

Data Security Software Products

Dover, Delaware 9 followers

Field-level, role-based governance for AI in the enterprise.

About us

ArcMantis is the governance layer between enterprise systems and AI tools. Every enterprise wants AI connected to the systems that actually run the business. CRMs, ERPs, databases, document stores. The question isn't whether to do it. It's how to do it without losing control of what AI can see, what it can do, and how it's accounted for. 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 ArcMantis enforces access architecturally, at the field level, for every role in the organization. Restricted data never reaches the AI tool. It isn't filtered after retrieval. It's never requested in the first place. One policy layer. One permission model. One audit trail. Every AI interaction logged and attributable. 𝗧𝗼𝗼𝗹-𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗯𝘆 𝗱𝗲𝘀𝗶𝗴𝗻 Systems get mapped once. Any AI tool that follows the standard plugs in. The platform works with any AI surface your teams use today, and any that emerge tomorrow. AI assistants. AI agents. Custom AI embedded in enterprise applications. All governed through a single interface built on the Model Context Protocol. The standard evolves. ArcMantis evolves with it. Your governance work doesn't get redone. 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 Our team brings expertise in enterprise data architecture and metadata enrichment for AI accuracy, applied directly to your environment. Metadata enrichment is what gives AI tool calls the ability to be more accurate and contextually appropriate. It's where the difference between AI that works and AI that hallucinates is decided. 𝗪𝗵𝗼 𝘄𝗲 𝘀𝗲𝗿𝘃𝗲 Enterprises that take data security and AI seriously. Our strongest fit is in regulated industries. Insurance, financial services, healthcare, legal. Industries where field-level governance and auditable access are mandatory. The same capabilities serve any organization that treats data control as a business-critical concern.

Website
https://arcmantis.ai/
Industry
Data Security Software Products
Company size
2-10 employees
Headquarters
Dover, Delaware
Type
Privately Held
Founded
2026
Specialties
AI Governance, AI Security, Enterprise AI, Model Context Protocol, MCP, Field-Level Access Control, Role-Based Access Control, Data Governance, AI Compliance, Regulated Enterprise, AI Audit, and Generative AI Security

Locations

Employees at ArcMantis

Updates

  • Jeffery Thompson started ArcMantis to solve a problem he kept hearing about. Every team wants to use AI. No one is fully comfortable connecting it to production systems without the right controls in place. Those controls didn't exist. So we built them. ArcMantis is governed AI access for enterprises. Field-level, role-scoped, audited. Works with whatever AI tools teams already use.

    • Announcing ArcMantis — governed AI access for the enterprise
  • ArcMantis reposted this

    A critical flaw sits at the core of Anthropic's MCP. OX Security disclosed a systemic vulnerability in Anthropic's official MCP SDKs — Python, TypeScript, Java, and Rust. 150M+ downloads affected. 200K servers exposed. Anthropic said patching is the developer's responsibility. For any enterprise running LiteLLM, LangChain, LangFlow, or their own servers built on those SDKs — this is a foothold into production systems through the AI tool your team is already using. I broke down what the research actually shows, what's at stake for enterprises, and what good governance looks like in this environment. Four slides — swipe through. Research link in the first comment. #MCP #EnterpriseAI #AIGovernance #SecurityArchitecture #ModelContextProtocol #ArcMantis

    • ArcMantis.ai slide: A critical flaw sits at the core of Anthropic's MCP. Security researchers disclosed a systemic vulnerability across Python, TypeScript, Java, and Rust SDKs. 150M+ downloads affected, 200K servers exposed, 10 security flaws filed. Research by OX Security, April 2026.
    • ArcMantis.ai slide: Attackers reach your systems through the AI tool your team is already using. Three risks listed: direct reach into internal databases and customer records, no audit trail of what happened, and every framework built on the affected foundation inherits the flaw. Researchers ran live attacks against LiteLLM, LangChain, LangFlow, Windsurf, and others.
    • ArcMantis.ai slide: The fix is not a patch — it is a governance layer between AI and your systems. Four controls: field-level access control, identity verification on every request, input validation before data moves, and a complete audit trail of who asked what and whether it was allowed. These controls must live in distinct layers that cannot be bypassed.
    • ArcMantis.ai slide: We built the governance layer enterprises have been missing. ArcMantis sits between AI tools and enterprise systems. Three pillars: role-based visibility, the governance layer checks every request before data moves, and an immutable audit trail ready for compliance review. Call to action: visit arcmantis.ai.
  • What the MCP vulnerability means for your stack.

    A critical flaw sits at the core of Anthropic's MCP. OX Security disclosed a systemic vulnerability in Anthropic's official MCP SDKs — Python, TypeScript, Java, and Rust. 150M+ downloads affected. 200K servers exposed. Anthropic said patching is the developer's responsibility. For any enterprise running LiteLLM, LangChain, LangFlow, or their own servers built on those SDKs — this is a foothold into production systems through the AI tool your team is already using. I broke down what the research actually shows, what's at stake for enterprises, and what good governance looks like in this environment. Four slides — swipe through. Research link in the first comment. #MCP #EnterpriseAI #AIGovernance #SecurityArchitecture #ModelContextProtocol #ArcMantis

    • ArcMantis.ai slide: A critical flaw sits at the core of Anthropic's MCP. Security researchers disclosed a systemic vulnerability across Python, TypeScript, Java, and Rust SDKs. 150M+ downloads affected, 200K servers exposed, 10 security flaws filed. Research by OX Security, April 2026.
    • ArcMantis.ai slide: Attackers reach your systems through the AI tool your team is already using. Three risks listed: direct reach into internal databases and customer records, no audit trail of what happened, and every framework built on the affected foundation inherits the flaw. Researchers ran live attacks against LiteLLM, LangChain, LangFlow, Windsurf, and others.
    • ArcMantis.ai slide: The fix is not a patch — it is a governance layer between AI and your systems. Four controls: field-level access control, identity verification on every request, input validation before data moves, and a complete audit trail of who asked what and whether it was allowed. These controls must live in distinct layers that cannot be bypassed.
    • ArcMantis.ai slide: We built the governance layer enterprises have been missing. ArcMantis sits between AI tools and enterprise systems. Three pillars: role-based visibility, the governance layer checks every request before data moves, and an immutable audit trail ready for compliance review. Call to action: visit arcmantis.ai.

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