Cyware, known for its innovative work in AI-driven threat intelligence and security orchestration, has just rolled out its Model Context Protocol (MCP) Server — a significant milestone in advancing AI-powered cybersecurity. With this new open-source tool, Cyware aims to simplify how organizations integrate large language models (LLMs) with its threat intelligence and security automation platforms.

The Cyware MCP Server is thoughtfully designed to seamlessly support workflows built around generative AI, helping security teams work smarter and more efficiently. It acts as a bridge between Cyware’s existing capabilities and AI assistants, allowing them to access core tools and actions seamlessly. This integration enhances how security teams gather insights, trigger responses, and manage complex workflows   all within a secure, fully contextualized environment.

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“Our MCP Server exposes our Agentic AI components to AI assistants, empowering teams to act faster and with greater context,” said Akshat Jain, CTO and Co-Founder of Cyware. “This strong foundation is set to enhance the speed, precision, and scale of how threats are detected, investigated, and responded to.”

This launch supports Cyware’s larger mission to turn threat intelligence into action through smarter, AI-driven automation. It also plays a central role in Cyware Quarterback AI the company’s own AI engine that powers smart, automated workflows throughout every step of the threat lifecycle.

From the beginning of the threat data pipeline, Cyware automates processes like ingestion, deduplication, enrichment, normalization, and scoring. This streamlining enables real-time, automated threat investigation and response without overwhelming analysts with repetitive tasks.

Beyond automation, Cyware embeds practical AI throughout its entire platform to contextualize and act on threat data more efficiently. Cyware’s Multi-Agent Fabric (MAF) strategy unites a network of specialized AI agents with its integrated product suite, working together to stay ahead of attackers, accelerate response times, and scale security operations with greater efficiency.

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Key features of Cyware’s AI-driven platform include:

  • Smart Parsing & Enrichment: AI automatically pulls out key details like IOCs, TTPs, threat actors, malware, and recommended actions from threat reports and alerts — significantly reducing the need for manual effort.
  • Summarization & Contextualization: Automated summaries highlight critical data such as CVEs and mitigation steps, helping analysts triage threats faster.
  • AI-Orchestrated Playbooks: LLM-based components simplify alert analysis, generate custom code, and enhance workflows without needing coding expertise.
  • In-Product AI Assistants: Real-time chatbots provide guidance, trigger actions, and retrieve documentation within the platform itself.

Altogether, these innovations reflect Cyware’s long-term commitment to building an AI-native futurefor cybersecurity one where human intelligence and machine automation work side by side to protect organizations at scale.

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