How Splunk and Dataminr Work Together to Help Accelerate Resilience

This blog post was co-authoured by Ash D’Souza, VP, Partner Ecosystems at Dataminr.

In today’s threat landscape, speed matters. Organizations face a constant deluge of cyber risks—from ransomware and insider threats to geopolitical incidents that ripple across global supply chains. To stay ahead, security teams need more than just logs and alerts: they need timely, rich contextual intelligence that helps them to cut through the noise to identify the most critical cyber threats facing their organizations and respond in real-time with confidence. Splunk and Dataminr have partnered to create AI-powered cybersecurity workflows to help customers do just that.

Real-Time AI-powered Threat Intelligence Meets Actionable Analytics

Dataminr is known for delivering real-time, publicly available information (PAI) risk, threat and event intelligence by processing massive amounts of data across news outlets, social media, blogs, and the deep and dark web. Its unique AI platform monitors over a million public data sources in over 150 languages to detect critical security risks and emerging threats significantly faster than traditional methods, providing the earliest possible warning for organizations to take action.

Splunk excels at ingesting, normalizing, and analyzing machine data from across the enterprise. Splunk Enterprise Security (ES) and Splunk SOAR (Security Orchestration, Automation, and Response) allow teams to correlate signals, detect anomalies, and automate responses at scale.

When combined, these strengths create a powerful workflow: Dataminr provides the “outside-in” perspective, while Splunk provides the “inside-out” analytics. Together, they give organizations a comprehensive and proactive picture of risk.

How Customers Benefit from the Splunk + Dataminr Integration

1. Faster Detection of Emerging Threats

• Dataminr alerts about newly exploited vulnerabilities, supply-chain disruptions, or geopolitical events feed directly into Splunk ES.
• Analysts can immediately correlate these signals with internal telemetry—like unusual network activity or endpoint alerts—reducing mean time to detection (MTTD).

2. Automated Incident Response

• When Dataminr detects a critical event, Splunk SOAR can trigger an organization’s existing threat response playbooks automatically.
• For example, a Dataminr alert about a zero-day exploit can initiate a Splunk SOAR workflow to search for indicators of compromise (IoCs) across logs, isolate endpoints, or escalate tickets to the SOC team.

3. Enhanced Situational Awareness

• Security leaders get real-time dashboards combining Dataminr’s global threat intelligence with Splunk’s operational data.
• This helps CISOs and executives understand both external risk exposure and internal readiness in a single pane of glass.

4. Reduced Alert Fatigue

• Dataminr’s AI filters out noise, surfacing only high-confidence, high-relevance signals.
• By ingesting these signals into Splunk, teams reduce false positives and focus on incidents that truly matter.

Use Cases Across Industries

• Financial Services: Detect fraud campaigns earlier by correlating Dataminr alerts on phishing kits with Splunk transaction monitoring data.
• Healthcare: Stay ahead of ransomware groups targeting hospitals by combining early Dataminr warnings with Splunk’s endpoint and EHR logs.
• Critical Infrastructure: Monitor geopolitical unrest or physical security threats detected by Dataminr alongside Splunk’s OT/ICS telemetry.

Accelerating Resilience Through Partnership

In a world where minutes can mean millions lost, the integration of Dataminr’s real-time intelligence with Splunk’s data-driven analytics and automation helps organizations shift from a reactive to a proactive cyber security posture.

The result is faster decisions, stronger defenses, and greater organizational resilience. Common customers benefit from the best of both worlds: external visibility into emerging threats and internal clarity into how those threats could impact their systems.