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Understanding Recorded Future

Recorded Future is a threat intelligence company. It collects and analyses data about attackers, malware, exposed credentials and risky suppliers, then delivers that intelligence into the security tools that organisations already run, so security, fraud and risk teams can act before an attack lands.

The problem it targets is visibility: most of what signals an attack, from a leaked password to a supplier breach, happens outside an organisation’s own network, and is useful only if it reaches the teams and tools that can respond.

At A Glance

VendorRecorded Future
CategoryThreat intelligence
Identities coveredEmployee and customer credentials exposed in infostealer logs, combo lists and database dumps
Agentic AIAutonomous Threat Operations and automated conversion of threat disclosures into detections
Founded2009
OwnershipAcquired by Mastercard in 2024
Market classificationSecurity Operations

What Recorded Future Does

The core idea is a single intelligence layer feeding many teams. The Intelligence Graph® gathers material from the open web, the dark web, technical feeds and customer telemetry, and links what it finds outside an organisation with what the organisation sees internally.

That intelligence is not confined to a separate console. It goes into the SIEM, endpoint, network, identity and SOAR tools a team already uses, where it can drive blocking and detection, and researchers add analysis of cybercrime, state-sponsored activity and wider global issues.

Products

Platform Solutions

The platform is packaged as four solutions, each applying the same intelligence to a different team:

Cyber OperationsFor security operations teams, in day-to-day monitoring, triage and response.
Digital Risk ProtectionRisks to an organisation that appear outside its own network.
Third-Party RiskSuppliers and partners, for teams responsible for the wider supply chain.
Payment Fraud IntelligenceFor fraud teams working on payment fraud.

Identity Intelligence

Identity Intelligence finds exposed credentials in infostealer logs, malware combo lists and database dumps. It helps security teams catch compromised employee logins before attackers use them, and helps fraud teams stop account takeover of customer accounts. It can also watch the personal email accounts of executives and other high-risk staff, which sit outside corporate defences. When a compromise is found, responses such as password resets, MFA challenges, risk checks and access restrictions can be automated through IAM and SOAR platforms.

Autonomous Threat Operations

Autonomous Threat Operations automates continuous threat hunting, intelligence-led prevention and analysis across several sources. Its Autonomous Threat Hunting function tracks indicators of compromise, malware and threat actors across the customer’s technology stack, correlates results in the Intelligence Graph® and ranks them with Recorded Future Risk Scores. Dynamic hunts update themselves when threat actors are added to or removed from the Threat Map.

How It Works

Intelligence flows in three steps: collection and correlation in the Intelligence Graph®, scoring and research, and delivery into customer tools.

ComponentWhat it does
Intelligence Graph®Indexes, organises and analyses data from over a million sources across the open web, dark web, technical feeds and customer telemetry.
Insikt Group®The research team whose analysis feeds the platform through intelligence reports, threat briefings and threat actor profiles.
Risk ScoresRecorded Future Risk Scores rank results so teams can work on the most important findings first.
Native integrationsMore than 100 integrations carry intelligence to control points across the security stack, where it drives blocking, detection and prevention.

Identities And Systems Covered

Employee credentialsCorporate logins leaked by malware or in breached data sets
Customer identitiesInfostealer logs as a source of new compromises, used to stop account takeover
Executives and high-risk staffPersonal email accounts outside corporate defences
Identity systemsOkta, Microsoft Azure Active Directory and Active Directory, where responses such as password resets are applied

Agentic AI Capabilities

Beyond the hunting covered in Autonomous Threat Operations, these systems adapt as new intelligence arrives and enforce blocks, detections and preventive controls across the customer’s tools with minimal human involvement.

Agentic processing turns new threat disclosures into production-ready detection signatures, in a reported 31 minutes at best. Instead of waiting for an analyst to read an advisory and write a rule, the platform drafts the detection itself and hands it to the customer’s controls, which shortens the gap between a public disclosure and protection in production.

Integrations

AreaIntegrations
SIEM and XDRMicrosoft Sentinel, Microsoft Defender XDR, Splunk, Google SecOps, CrowdStrike XDR and NGSIEM
EndpointSentinelOne
Network securityZscaler, Palo Alto NGFW
SOARPalo Alto Networks Cortex XSOAR, Swimlane, Tines
Vulnerability managementTenable Vulnerability Management, Qualys VMDR

Company Background

Founded2009, by Christopher Ahlberg and Staffan Truvé
HeadquartersCambridge, Massachusetts, United States
OfficesArlington, Virginia and Gothenburg, Sweden
OwnershipAcquired by Mastercard in September 2024 for a reported $2.65 billion
ResearchInsikt Group®, whose analysts come from government, law enforcement, military and intelligence backgrounds

Note: This overview is compiled from Recorded Future’s publicly available information as of 4 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.

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