Automate Threat Hunting

Proactively search cyber threats that are lurking undetected in the network. Real-time, AI-driven threat hunting correlates signals across your security stack to identify anomalies, prioritize risk, and accelerate response. AI agents and automated workflows turn threat hunting into a structured, continuous operation.

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Technical diagram representing automated threat hunting across distributed enterprise environments.

Average cost of a data breach

$

4.25

M

Connect SIEM, EDR, and XDR signals so teams can spot threats sooner, prioritize risk, confirm context, and act faster.

framework helps hunters identify threat actors

100

MITRE ATT&CK

Use Swimlane AI agents to prioritize risk, validate context, and trigger containment and remediation faster.

and Entity threat hunts

100

Situational

Swimlane automates analysis of vulnerabilities and external attack data to identify trending TTPs.

Run Threat Hunts as a Continuous Operation

Continuously enrich, correlate, and assess threat signals as activity changes across the environment. Swimlane’s AI agents keep hunts moving by pulling context into connected cases, prioritizing emerging risks, and triggering response workflows when indicators are confirmed. Analysts spend less time rebuilding investigation context and more time moving threats toward containment, helping reduce dwell time and improve MTTD and MTTR across the threat hunting lifecycle.

SOC analyst dashboard representing real-time threat metrics, incident severity, and forensic data charts.

Integrate Tools for Better Visibility

Swimlane Turbine’s autonomous Integrations provide an ecosystem-agnostic orchestration solution without requiring developer resources. This improves hunting capabilities and response, while effectively protecting the organization from attacks. Connect SIEM, EDR, XDR, threat intelligence, and identity systems to unify visibility across your environment. Prioritize high-risk activity, contain threat indicators faster, trigger remediation workflows, and move investigations toward resolution.

Incident response workflow representing automated phishing remediation and threat log orchestration.

Reduce MTTD and MTTR by 50%

Automate repetitive tasks to help continuously hunt for threats at machine speed, enabling your security team to focus on more complex threats quicker while also reducing mean time to detection (MTTD) and response (MTTR). Remove investigation friction, keep context attached to every signal, and move from detection to action without delay.

Turbine SOC dashboard representing phishing attack metrics, severity trends, and real-time alert triage.

Streamline the Threat Hunt Process

Align your processes and procedures with industry best practices with fully-customizable, automated playbooks and workflows. Use Swimlane’s adaptable low-code playbook builder to create the necessary automations to accelerate the hunt workflow and sift through the noise. Swimlane guides threat hunts from hypothesis to response, keeping evidence and decision history intact at every stage.

Swimlane SOC interface representing real-time alert trends and incident response card orchestration.

Mitigate Analyst Burnout

Swimlane handles the mundane and time-consuming tasks required for threat hunting, so that analysts can allocate their time to strategic work. Swimlane Turbine also helps SecOps standardize and scale critical security processes. Reduce repetitive Tier 1 work and manual context gathering so investigations move faster and analysts stay focused on active threat hunting.

Turn Validated Threats into Tracked Cases

Move confirmed activity from the hunt into a structured case without losing continuity from investigation through response. Swimlane keeps evidence, actions, decisions, and ownership connected across every stage, giving SOC teams a shared view of the investigation and maintaining a complete, audit-ready record from validation through response.

In order to mature our security operations, we knew it was necessary to advance how we monitor and respond to threat intelligence by taking a more proactive approach to security operations.
Read Case Study Tanajak Watanakij
Chief Information Security Officer

Common Friction Points in Threat Hunting

Missed Threats Hidden in Alert Volume

Large volumes of alerts make it difficult for analysts to identify and prioritize real threats, increasing the risk of critical incidents being overlooked.

Disconnected Data across Security Tools

Signals remain siloed across SIEM, EDR, and other systems, which limits visibility during investigations.

Manual Correlation Slows Investigations

Analysts spend valuable time manually connecting data points across systems instead of validating and responding to threats.

Delayed Investigation Cycles

Gaps between detection, validation, and response extend the time it takes to contain unauthorized activities.

Hidden Lateral Movement Increases Dwell Time

Without continuous correlation and contextual analysis, attackers can move laterally through the environment without detection, increasing overall dwell time and risk.

Swimlane Threat Hunting vs Traditional Approaches

Capability	Swimlane Threat Hunting	Traditional Threat Hunting
Hunting Approach	Automates and orchestrates threat hunting workflows	Relies on manual queries and analyst-driven investigation
Data Visibility	Unifies SIEM, EDR, XDR, identity, and cloud data in one workflow	Data remains siloed across multiple tools
Detection Style	Proactive hunting using correlated signals and behavioral context	Reactive, based on alerts and predefined rules
Investigation Speed	Accelerates validation and response by reducing manual correlation and handoffs	Slower investigations with manual correlation and handoffs
Signal Correlation	Applies AI-assisted correlation across multiple data sources	Limited correlation, often handled manually by analysts

Resources for Threat Hunting Automation

DemoVideo

Master Your Security Data with the Threat Intelligence AI Agent

AI Threat Detection: Why it’s Essential for Effective Incident Response

How to Add New Threat Intelligence Sources in Swimlane Turbine

Threat Hunting FAQs

What is automated threat hunting?

Automated threat hunting uses workflows and AI to continuously search for suspicious activity across security systems. Instead of relying on manual analysis, it enriches data, correlates signals, and surfaces potential threats faster, helping teams identify risks that traditional detection may miss.

How does AI improve threat hunting?

AI helps security teams process large volumes of data, detect behavioral anomalies, and prioritize threats based on context and risk. It also accelerates investigations by summarizing findings, recommending next steps, and reducing the amount of manual analysis required from analysts.

What tools integrate with threat hunting?

Threat hunting workflows typically integrate with systems such as SIEM, EDR, XDR, threat intelligence platforms, and identity tools. Bringing these sources together allows teams to correlate signals, validate activity, and gain a unified view of their environment.

How does Swimlane reduce dwell time?

Swimlane reduces dwell time by correlating signals across tools, automating enrichment, and accelerating investigation workflows. Teams detect and validate threats earlier, allowing faster response before attackers can move deeper into the environment.

Automate AI-Driven Threat Hunting with Swimlane Turbine

The world’s most capable security automation platform

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