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.
AI-Ready Security Platform
Connect Your AI Tools. Secure Your Operations.
IoT Secure is built for the AI era — exposing real-time security telemetry, device intelligence, and enforcement capabilities through a native MCP Server and REST API. Give your AI agents, security orchestration platforms, and automation tools direct access to the data and controls they need.
The Concept
What It Means to Be AI-Ready
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.
An AI-ready security platform does more than generate reports. It exposes its data, findings, and controls through standardized interfaces that AI systems can query, reason over, and act on — without requiring custom integrations for each tool. IoT Secure is designed from the ground up to be AI-consumable.
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
Expose Your Security Data to AI Agents
What is MCP?
The Model Context Protocol (MCP) is an open standard introduced by Anthropic in late 2024 for connecting AI language models to external data sources and tools. Major AI platforms including Claude, Cursor, and others have adopted MCP as the standard way for AI agents to securely access external systems without requiring custom API integrations for each tool.
IoT Secure MCP Server
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. AI agents can ask questions like "which devices have critical CVEs and are not segmented?" and receive precise, current answers.
Real-Time Telemetry Access
MCP-connected AI tools can access live device inventory, current exposure scores, active findings, communication patterns, and enforcement status — not yesterday's export. Security analysis and AI-generated recommendations are based on current network reality.
AI-Driven Investigation
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.
Automated Response Integration
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.
Context for AI Analysis
IoT Secure provides structured context that makes AI analysis dramatically more useful: device type, risk score, network location, CVE details, communication history, and enforcement history — everything an AI needs to provide accurate security recommendations.
REST API
Full Programmatic Control
Comprehensive API Coverage
The IoT Secure REST API provides programmatic access to all platform capabilities — device inventory, exposure findings, segmentation analysis, enforcement controls, alert history, and reporting. Build custom integrations, automate workflows, and embed IoT Secure data into your existing security stack.
SIEM & SOAR Integration
Push IoT Secure findings, alerts, and enforcement events to your SIEM in real time. Trigger automated response workflows in your SOAR platform when high-risk devices are detected or exposure scores change. Close the loop between detection and response without manual intervention.
Custom Reporting & Dashboards
Build executive dashboards, compliance reports, and operational metrics using IoT Secure API data in your BI tools, Grafana, Splunk, or custom applications. Display the security data your stakeholders need in the format they use.
MSP Multi-Tenant Access
Managed service providers can access IoT Secure data across multiple customer environments through the API, enabling centralized monitoring dashboards, automated alerting, and consistent policy management across your entire customer base.
Use Cases
What You Can Build
Automated Threat Response
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.
Executive Risk Dashboards
Pull exposure score trends, segmentation gap metrics, and enforcement status into Tableau, Power BI, or Grafana. Deliver board-ready security dashboards that update in real time from IoT Secure API data.
Compliance Automation
Automate CMMC, HIPAA, and IRS 1075 evidence collection by querying IoT Secure API for device inventory, segmentation status, and monitoring evidence on a scheduled basis. Reduce manual compliance preparation significantly.
Security-First AI
AI Access Without Compromising Security
AI access is controlled, audited, and permission-scoped.
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.
Make your AI tools security-aware.
MCP Server and REST API ready. Connect your tools today.