AI Security Assistant
Connect IoT Secure to Claude, GPT-4, or your private LLM via MCP. Ask security questions in natural language, get current answers from your actual network, and let AI recommend prioritized remediation actions.
IoT Secure's native MCP Server exposes the platform's device intelligence, exposure findings, segmentation data, and enforcement status as a structured, queryable data source. Give Claude, Cursor, GPT-4, and your automation stack direct access to live security telemetry and controls.
The Concept
Security teams increasingly rely on AI-powered tools — large language models, automated reasoning agents, SOAR platforms, and custom automation — to process the volume and velocity of modern security operations. These tools are only as effective as the data they can access.
The Model Context Protocol (MCP) is an open standard for connecting AI language models to external data sources and tools. IoT Secure exposes its findings and controls through MCP so agents can query, reason over, and act on security data without custom integrations for each tool.
Whether you're using Claude, GPT-4, a custom LLM, or a security orchestration platform, IoT Secure provides the data your AI needs to answer security questions, trigger investigations, recommend enforcement actions, and close the loop on detected risks.
MCP Server
The Model Context Protocol is an open standard for connecting AI language models to external data sources and tools. IoT Secure implements MCP with full streaming HTTP transport, giving AI agents low-latency access to live security data across Claude, Cursor, and any MCP-compatible platform.
IoT Secure is listed in Claude's official Connectors Directory, making it discoverable and ready to connect directly from Claude without custom configuration. Connect IoT Secure to Claude in a few clicks and immediately query live device intelligence, exposure findings, and enforcement status.
IoT Secure's MCP Server supports streaming HTTP transport, enabling AI agents to receive data as a continuous stream rather than waiting for full responses. Live device inventory changes, exposure score updates, and enforcement events flow directly to your AI tools as they happen.
IoT Secure's MCP Server supports OAuth, so connecting AI tools to your security data flows through your organization's existing identity infrastructure. No API keys to rotate — authentication is handled through your OAuth provider with full audit logging of every connection and query.
Ask natural language questions about your security posture and receive structured answers from IoT Secure data. "Show me all devices communicating with external IPs that have known CVEs." "What's the segmentation status of devices in VLAN 100?" AI agents get real answers from real data.
MCP enables AI agents to not just query IoT Secure data but trigger enforcement actions — isolating risky devices, triggering policy evaluation, or flagging findings for human review — as part of an automated security workflow.
Use Cases
Connect IoT Secure to Claude, GPT-4, or your private LLM via MCP. Ask security questions in natural language, get current answers from your actual network, and let AI recommend prioritized remediation actions.
Build SOAR playbooks that automatically query IoT Secure for device context when alerts trigger, enrich incidents with network intelligence, and execute isolation or enforcement actions based on risk thresholds.
Security-First AI
Giving AI tools access to your security platform data creates its own security requirements. IoT Secure's API and MCP implementation uses token-based authentication, role-based access controls, and comprehensive audit logging of all API and MCP interactions.
AI agents accessing IoT Secure data operate within defined permission scopes — read-only access for analysis tools, controlled enforcement access for authorized automation workflows. Every query, every enforcement action triggered via API or MCP, is logged with full timestamp and client context.
IoT Secure MCP Server ready. Connect Claude, Cursor, and your automation stack today.