Autonomous Threat Operations delivers more

What is Autonomous Threat Operations?

Autonomous Threat Operations is a new capability focused on reducing manual cyber operations through AI-powered continuous hunting and multi-source correlation in the Intelligence Graph®. Autonomous Threat Operations offers the following key features:

• Autonomous Threat Hunting to track IoCs, malware, and threat actors across your technology stack
• Unified threat protection across all controls to block, detect, and prevent threats across all your tools
• Multi-source ingestion and correlation with the Intelligence Graph®, which means you can ingest custom sources and the data will be enriched and prioritized based on Recorded Future Risk Scores and associated threats
• AI Reporting, which quickly provides clear, actionable insights into threat hunting, prevention, and detection findings that are specific to your organization

What problem does Autonomous Threat Operations solve?

Organizations are finding it difficult to operationalize threat intelligence across the business. They’re spending too much time and tying up resources on manual cyber operations, and that limits the effectiveness and value of their threat intelligence.

What’s the difference between "autonomous" and "automated"?

• Automated systems follow pre-programmed rules and workflows.
• Autonomous solutions work independently using AI. They can adapt, learn from new intelligence, and make decisions with minimal human intervention—all while providing guardrails that give you full control over the way you operationalize intelligence.

Can Autonomous Threat Operations integrate with our existing security tools?

Yes, it’s designed to seamlessly integrate with your existing security ecosystem, including SIEMs, SOARs, firewalls, and endpoint protection solutions. This ensures that the threat intelligence you receive is actionable and can be used to strengthen your overall security posture.

Integrations supported by Autonomous Threat Operations include:

• Microsoft Defender XDR
• Microsoft Sentinel
• Splunk
• Crowdstrike XDR & NGSIEM
• Google SecOps
• Sentinel One
• Zscaler
• Palo Alto NGFW

We’ll continue adding integrations over time to enable connectivity with other tools.

See the latest supported integrations and sources for Autonomous Threat Operations

How does Autonomous Threat Operations enhance Recorded Future’s existing integrations?

The purpose of our integrations into SIEM, SOAR, and other platforms is to prioritize alerts and entities within those platforms. With Autonomous Threat Operations, you can now initiate a threat hunt directly within Recorded Future and view those results across multiple connected tools, from SIEMs to EDRs.

Other enhanced capabilities allow you to:

• Enable custom sourcing, such as ISAC sources, outside threat intelligence, or customer sources.
• Bring together external intelligence, beyond just Recorded Future’s.
• Manage those indicators.
• Better connect data from different sources through Recorded Future and into other security platforms.

How is Autonomous Threat Operations threat hunting different from the pre-built threat hunting capability available within Recorded Future’s Splunk integration?

Recorded Future’s Splunk integration is one of the few where customers can launch a threat hunt using Recorded Future data within Splunk. However, the Autonomous Threat Operations capabilities allow for the following:

• Dynamic threat hunts—When a threat actor is added to or removed from the Threat Map, Autonomous Threat Operations automatically updates the hunts to reflect the change.
• External intelligence enrichment—Autonomous Threat Operations merges external threat feeds, including Recorded Future’s, into threat hunts, adding insights that may not be available in Splunk.