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Recorded Future

Connect
Connect
Recorded Future Entity Match
Recorded Future Entity Match
with your entire stack through Mindflow
with your entire stack through Mindflow

Seamlessly integrate Recorded Future Entity Match into your entire stack with Mindflow to enhance entity resolution workflows across systems. This integration accelerates the adoption of Recorded Future Entity Match by automating the cross-tool correlation of entities through powerful API-driven matching capabilities. Mindflow strengthens cross-tool interconnection through automation and workflow orchestration, improving data quality and consistency for security and intelligence teams. Mindflow is built for enterprise-grade security, compliance, and performance.

Seamlessly integrate Recorded Future Entity Match into your entire stack with Mindflow to enhance entity resolution workflows across systems. This integration accelerates the adoption of Recorded Future Entity Match by automating the cross-tool correlation of entities through powerful API-driven matching capabilities. Mindflow strengthens cross-tool interconnection through automation and workflow orchestration, improving data quality and consistency for security and intelligence teams. Mindflow is built for enterprise-grade security, compliance, and performance.

Over 316,495 hours of work saved through 1,582,478 playbook runs for our valued clients.

Over 316,495 hours of work saved through 1,582,478 playbook runs for our valued clients.

Mindflow provides native integrations:

Full coverage of all APIs

Orchestrate 100% of operations through our comprehensive API catalog. Start with these popular operations to streamline your workflows and reduce manual processes.

Orchestrate 100% of operations through our comprehensive API catalog. Start with these popular operations to streamline your workflows and reduce manual processes.

  • Recorded Future Entity Match

    Match entity

  • Recorded Future Entity Match

    Match entity

  • Recorded Future Entity Match

    Match entity

    Recorded Future Entity Match

    Copy File

  • Recorded Future Entity Match

    Match entity

    Recorded Future Entity Match

    Copy File

Automation Use Cases

Automation Use Cases

Discover how Mindflow can streamline your operations

Discover how Mindflow can streamline your operations

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→ Resolve duplicate or inconsistent entity records automatically by submitting entity data through Recorded Future Entity Match API calls, reducing errors in threat intelligence aggregation → Validate entity identity overlap across multiple external and internal sources via automated API-driven matching queries, improving data reliability → Enhance incident investigation workflows by correlating disparate entity references through seamless entity match automation from Recorded Future data

→ Resolve duplicate or inconsistent entity records automatically by submitting entity data through Recorded Future Entity Match API calls, reducing errors in threat intelligence aggregation → Validate entity identity overlap across multiple external and internal sources via automated API-driven matching queries, improving data reliability → Enhance incident investigation workflows by correlating disparate entity references through seamless entity match automation from Recorded Future data

Autonomous agents are only as effective as their connectivity to data and actions.

Autonomous agents are only as effective as their connectivity to data and actions.

Our AI··Agents have complete access to both.

Our AI··Agents have complete access to both.

Introducing the Recorded Future Entity Match agent, an expert designed specifically to utilize the post /entity-match/match API operation for entity reconciliation tasks. This agent autonomously reasons over entity matching requests to link ambiguous entities across datasets without manual configuration. For example, it can perform expert-level entity linkage by submitting batch match requests to identify and unify duplicate entities in threat intelligence feeds. It can also handle targeted match inquiries to verify identity overlap between external vendor and internal systems. This agent does not operate on other Recorded Future services but focuses strictly on entity match functions to deliver precise entity resolution.

Introducing the Recorded Future Entity Match agent, an expert designed specifically to utilize the post /entity-match/match API operation for entity reconciliation tasks. This agent autonomously reasons over entity matching requests to link ambiguous entities across datasets without manual configuration. For example, it can perform expert-level entity linkage by submitting batch match requests to identify and unify duplicate entities in threat intelligence feeds. It can also handle targeted match inquiries to verify identity overlap between external vendor and internal systems. This agent does not operate on other Recorded Future services but focuses strictly on entity match functions to deliver precise entity resolution.

Recorded Future Entity Match

GPT-5.2

Entity resolution agent with autonomous API reasoning

Recorded Future Entity Match

GPT-5.2

Entity resolution agent with autonomous API reasoning

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Automate processes with AI,
amplify Human strategic impact.

Automate processes with AI,
amplify Human strategic impact.