Dataminr Intends to Acquire ThreatConnect to Create Agentic AI-Powered Client-Tailored Intelligence

Dataminr, a company in AI-powered real-time event, threat and risk intelligence, announced its intent to acquire ThreatConnect, an intelligence management platform for contextualizing and prioritizing threats across internal client data environments. The transaction values ThreatConnect at $290 million.
The fusion of Dataminr’s AI platform for public data signals with ThreatConnect’s deep internal data capabilities will create an Agentic AI-powered Client-Tailored intelligence. Dataminr’s AI Agents will dynamically reason across both the internal and external data domains to deliver real-time intelligence that is context-aware, personalized and automatically adapts to the unique needs of individual customers.
“We are thrilled to be joining forces with ThreatConnect’s amazing 170-person mission-oriented team that shares in our passion for delivering customer value through rapid AI innovation,” said Ted Bailey, founder and CEO, Dataminr. “By uniting our AI platform with the capabilities of ThreatConnect, Dataminr will fuse external public data signals and internal client data to pioneer the first-ever real-time Client-Tailored intelligence. The future of Dataminr’s real-time intelligence will be more relevant and actionable than ever before — enabling our clients to not just understand what is happening, but what it means to them and how they should respond.”
Balaji Yelamanchili, CEO, ThreatConnect, added, “ThreatConnect has spent years helping enterprises and government cyber defense organizations bring order to vast amounts of threat and risk intelligence. The world’s leading enterprises rely on our platform to bring context, prioritization, speed and precision to cyber defense. We are thrilled to join forces with Dataminr and combine our powerful platforms, creating new ways to deliver Client-Tailored intelligence and greater value to customers around the world.”
Dataminr Pulse for Cyber Risk and ThreatConnect will become a joint offering to empower cyber customers with client-tailored AI-powered threat intelligence, risk-based prioritization and faster, more precise response. Beyond cybersecurity, Dataminr will leverage ThreatConnect’s core platform capabilities and expertise to accelerate internal client data fusion from a broader ecosystem of additional partner and client data environments that span the physical, digital and cyber domains.
“In today’s insurance landscape, risk can emerge from anywhere, digital, physical, cyber, or operational. This is the combination we’ve been waiting for: real-time, adaptive intelligence that knows our organization and what matters most,” said John Sapp, chief information security officer, Texas Mutual Insurance. “As a CISO, the fusion of Dataminr and ThreatConnect represents a leap forward in how we identify, interpret and act on risk across every part of our enterprise.”
Existing ThreatConnect customers can expect continued support and development. Over time, both ThreatConnect’s and Dataminr’s Pulse for Cyber Risk customers will be offered enhancements that combine the two product’s capabilities.
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“Resilient infrastructure is the foundation of progress. Today, that foundation is powered by intelligence and AI,” said Jim Kavanaugh, co-founder and CEO, WWT. “By unifying Dataminr’s AI-powered real-time event, threat and risk intelligence with ThreatConnect’s robust threat contextualization, prioritization and response capabilities, together with WWT’s cyber capabilities and Advanced Technology Center, we will be positioned to help organizations move from reactive to proactive — embedding resilience, speed and confidence into the systems that power critical missions and industries worldwide.”
Timothy Torres, chief security officer, TriNet, added, “The integration of Dataminr and ThreatConnect, along with their leading platforms, represents an exciting opportunity for organizations to significantly strengthen their defenses against adversaries by fusing internal data with external signals.”
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