Introducing the Model Context Protocol (MCP) Server for Claroty xDome

Critical infrastructure organizations worldwide have begun to leverage artificial intelligence (AI) for improved operational efficiency and reliability, increased resilience, and enhanced cybersecurity. However, the Large Language Models (LLMs) your organization leverages to improve operations may not be currently used to their full potential. To enhance the vast ecosystem of tools and data sources your organization leverages, Model Context Protocol (MCP) servers were developed to integrate seamlessly with AI models.

Previously, the isolation of AI models to an organization’s data, operational status, or latest events severely limited the accuracy of AI for real-world tasks. Now, the development of MCP servers can be leveraged to bridge the gap to cybersecurity tools, connecting the power of AI models directly to previously disparate and often siloed security solutions. 

Enter: Model Context Protocol (MCP) Server for xDome

As this MCP Server develops, your organization will be able to seamlessly integrate the LLMs you leverage with the Claroty xDome Platform to address the below use cases. This standardization is crucial for interoperability, acting as a bridge for LLMs to gain controlled and secure access to your cyber-physical systems (CPS) protection platform. With natural language querying (NLQ) of the MCP server, the barrier to insight is dramatically lowered, allowing security analysts, engineers, and operators to interact with complex cybersecurity and operational datasets without needing to write code or understand schemas. Additionally, the MCP server allows users across roles to gain insights and answers to plain language questions in no time. 

Overall, this significantly enhances the value of the MCP server and unlocks new, user-friendly and intelligence-driven use cases.

xDome MCP Server Use Cases

The xDome MCP server provides a standardized and secure way for AI models to access and interpret real-time data from various xDome modules, including asset inventory, network traffic, vulnerability assessments, threat detections, and identity and access management logs. It allows organizations to extend Claroty’s robust solutions even further for the following use cases:

• Conversational Asset Discovery: MCP servers can allow even non-tenchical users to explore the network, accelerating incident investigation and system audits.

• Orchestrator for Risk Reduction Workflows: Integrated with various agents including email or slack notification, Jira ticket creation, CMDB reconciliation, SOAR playbook triggering, and more, the MCP transforms manual disjoined processes into a highly automated, intelligent, and proactive system.

• Enhanced Threat Detection: MCP servers can provide LLMs and other AI models with alerts & insights which can be correlated to anomalous behavior within your operational technology (OT) devices. 

• Improved Incident Response: When a potential threat is detected, MCP servers can get detailed information about specific devices or network segments, and can recommend specific mitigation actions. 

• Proactive Exposure Management: AI agents can leverage MCP servers to simulate attack scenarios and test defensive measures before they are deployed, allowing teams to focus on the exposures that matter most. 

• Optimize Device Utilization: Retrieve device utilization metrics to understand how effectively devices are being used to optimize device allocation.

• Streamlined Reporting: MCP Servers simplify reporting, auditing, and executive briefings, making cybersecurity posture communicable across roles. 

These use cases are achieved securely as the MCP server operates within the stringent security protocols of the Claroty xDome platform, ensuring that data access and query processing adhere to industry standards and organizational policies. In addition, role-based access controls and audit logging are integral features, providing transparency and accountability for all interactions.

Key Benefits of xDome MCP Server

Moving beyond the isolated nature of AI systems, the xDome MCP server allows organizations to infuse AI’s analytical power with Claroty’s advanced CPS security controls. Key benefits include: 

• Faster Decision-Making: By speeding up triage, audits, and incident response, the MCP server allows for organizations to spend less time on manual data collection and more time on analysis and decision making. 

• Human-Friendly Querying: MCP servers provide the essential programmable interface that allow sophisticated AI models to bridge the gap between human natural language and the complex, technical language of enterprise tools. 

• Cross-Role Accessibility: Before MCP servers, only security analysts or developers might be able to effectively query a SIEM or initiate a firewall block using specific syntax or API calls. Now, users across different roles can interact with complex security systems using natural language. 

• Ease of Reporting: Executives can now obtain reports and data quickly without the need to wait for an analyst to finalize a report. MCP servers also speed up the cycle of receiving answers to questions and comments.

• Context-Rich Insight: With MCP servers, the AI can synthesize the unified data it is provided to establish a more contextual understanding of a given situation. 

• Continuous Learning: MCP servers empower AI models by providing real-time access to dynamic system states and evolving threat intelligence, allowing the AI's queries and understanding to continuously adapt and improve.

The xDome MCP Server is a critical component of modern AI-driven security, bridging the gap between AI models and Claroty xDome. With extensive benefits including conversational asset discovery, enhanced threat detection, improved incident response, and more, the MCP Server is revolutionizing security approaches. As this technology continues to evolve, learn more about the current functionality of Claroty xDome MCP Servers in this video: