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Recorded Future Launches MCP for Agentic Security Operations

2026-10-01 03:20 UTC 4 min read Runtime Rebel Intel

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Key points

AI agents can now make faster, more trustworthy security decisions by directly accessing Recorded Future intelligence.
Affected systems include AI agents and LLMs like Claude, ChatGPT, Copilot, Cursor, and Gemini CLI in security workflows.
Security teams should evaluate Recorded Future MCP to integrate trusted intelligence directly into their agentic security operations.

Recorded Future Unveils Model Context Protocol (MCP) for AI-Driven Security

Recorded Future has announced the general availability of its Model Context Protocol (MCP), a new offering designed to seamlessly connect AI agents with Recorded Future’s extensive threat intelligence. This development addresses a critical need in the cybersecurity landscape, as both threat actors and security teams increasingly leverage artificial intelligence to automate and scale their operations. MCP provides a standardized, OAuth-authenticated gateway, allowing AI agents to directly pull trusted intelligence, thereby enhancing decision-making, improving reliability, and accelerating response times.

The proliferation of AI-driven attacks, from automated reconnaissance to complex exploit development, necessitates a proportional response from defenders. Many security organizations are now adopting AI agents and copilots to manage their workloads. However, the effectiveness of these agents is inherently tied to the quality and trustworthiness of the intelligence they consume. As highlighted by Recorded Future, inconsistent or unreliable responses from large language models (LLMs) can introduce uncertainty and delays, underscoring the demand for a direct conduit to verified threat intelligence.

Integrating AI Agents with Threat Intelligence via MCP

Recorded Future MCP extends the company’s established role as a trusted intelligence provider for human analysts directly to AI agents. It offers a catalog of over 80 tools that expose a broad set of capabilities from the Recorded Future Platform, including threat actor profiles, Recorded Future Risk Scores, ransomware metadata, malware sandbox data, and dark web intelligence. This direct access is crucial for integrating AI agents with threat intelligence efficiently.

Key features and benefits of MCP include:

Direct, Standardized Access: Agents can access intelligence via OAuth authentication, ensuring secure and consistent data retrieval.
Broad Compatibility: MCP works with popular LLM clients and AI agents, including Claude, ChatGPT Enterprise, Copilot, Cursor, and Gemini CLI.
Enhanced Decision Making: By crawling the Intelligence Graph directly, agents can find related entities and context in fewer calls, reducing latency and cost while providing comprehensive situational awareness.
Write Capabilities: Agents can now write to Watch Lists and author Platform Analyst Notes, enabling a closed-loop between analysis and configuration. This capability allows agents to automatically update intelligence based on their findings, such as keeping a tech stack Watch List current as new tools are adopted.

Automating Security Operations with Recorded Future MCP

Through a pilot program involving over 100 enterprise customers, Recorded Future identified three primary usage patterns demonstrating the power of automated security operations with Recorded Future MCP:

Automated Enrichment and Detection Engineering: Customers are replacing manual indicator of compromise (IOC) and CVE lookups with bulk enrichment directly integrated into security information and event management (SIEM) and security orchestration, automation, and response (SOAR) logic. This ensures alerts arrive pre-enriched, facilitating automated threat-actor profiling and malware analysis.
Executive and Leadership Reporting: Automated reports on threat landscapes and risk posture can be generated, transforming time-consuming manual assemblies into recurring, low-effort briefings, including compliance-driven reports for high-risk CVEs and ransomware profiles.
Incident Response and Threat Hunting Acceleration: MCP-driven triage and escalation capabilities are integrated directly into decision points, significantly shortening the path from detection to action. This allows human responders to focus on complex aspects requiring human judgment, while agents handle the initial legwork.

Recommendations for Leveraging Agentic Security

Security professionals should consider how integrating a dedicated intelligence layer like Recorded Future MCP can enhance their agentic security operations. For existing Recorded Future customers, MCP is available if your subscription includes unlimited integrations; support resources or account directors can provide assistance. Organizations not yet leveraging Recorded Future intelligence are encouraged to request a demo to understand how this protocol can provide their AI agents with the trusted context needed to make critical security decisions at machine speed and scale. Evaluating such solutions is vital for enhancing incident response with agentic AI and staying ahead of evolving threats.

#Recorded Future #AI #Threat Intelligence #Security Operations

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