TLDR: SOCRadar has launched its new Model Context Protocol (MCP) Server, a groundbreaking solution designed to seamlessly integrate AI models with its threat intelligence platform. This innovation aims to empower cybersecurity teams with secure, real-time access to critical threat data through natural language, significantly enhancing threat analysis and incident response capabilities.
SOCRadar, a global leader in extended threat intelligence and cybersecurity, has announced the launch of its new Model Context Protocol (MCP) Server, marking a significant advancement in AI-driven cybersecurity operations. The MCP Server is engineered to facilitate secure and efficient integration between artificial intelligence models, particularly AI assistants and large language models (LLMs), and SOCRadar’s comprehensive threat intelligence platform.
At the core of this new offering is the Model Context Protocol, a standardized interface that ensures secure connections between AI language models and external data sources. This protocol allows AI assistants to access real-time threat intelligence, interact with databases and APIs, and leverage various security services while strictly adhering to established security boundaries.
According to SOCRadar, the MCP Server is set to simplify operational workflows for cybersecurity teams. It enables security professionals to interact with SOCRadar’s vast threat intelligence services using conversational requests, eliminating the need to navigate complex user interfaces or memorize intricate workflows. This conversational approach allows for direct queries, such as ‘Show me my critical assets exposed to the latest Citrix vulnerability’ or ‘Give me the top CVEs affecting my attack surface today,’ with the MCP Server interpreting, executing, and delivering actionable results on demand.
‘Microsoft CEO Satya Nadella said it best: ‘Human language is the new UI layer.’ That’s exactly why we launched our MCP server. We believe the future of cybersecurity lies in seamless human–AI collaboration,” stated Huzeyfe Onal, CEO of SOCRadar. He added, “Security threats are evolving too fast for traditional, manual processes to keep up. By allowing AI assistants to access our threat intelligence in real time through natural language, we’re giving security teams the ability to respond faster, with more context, and far less friction.”
The MCP Server is designed to be ‘agent-native,’ offering contextualized, prompt-ready threat intelligence that LLMs and autonomous agents can parse without additional engineering overhead. It supports seamless integration with existing AI-driven Security Operations Center (SOC) platforms and internal AI agents, including popular solutions like Cortex XSOAR and Microsoft Copilot for Security, through persistent websocket streams for real-time decision-making.
Security has been a paramount consideration in the development of the MCP Server. Ensar Seker, CISO at SOCRadar, emphasized, “At SOCRadar, we’ve built the MCP Server with a zero-trust foundation and multiple layers of security. Each AI agent interaction is authenticated through granular, tokenized access controls, ensuring that only authorized agents can retrieve specific types of intelligence.” Seker further noted that all requests are rigorously audited and monitored in real-time with behavioral anomaly detection to prevent misuse, and data integrity is preserved through cryptographic hashing and schema validation at every exchange point.
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This innovative server not only enriches indicators of compromise (IOCs) and retrieves CVE intelligence but also automates response actions and triggers custom playbooks, all without requiring additional API development. SOCRadar, which serves over 800 customers across 70 countries with its AI and machine learning-powered Extended Threat Intelligence Platform, continues to enhance its suite of products, including Cyber Threat Intelligence, External Attack Surface Management, Brand Protection, Dark Web Monitoring, and Supply Chain Threat Intelligence, with the introduction of the MCP Server.
