Flare, a recognized global leader in Threat Exposure Management (TEM), has announced the successful completion of a USD $30 million Series B funding round led by Base10 Partners, with participation from Inovia Capital, White Star Capital, and Fonds de solidarité FTQ. This substantial investment reflects the market’s growing confidence in Flare’s capabilities and trajectory. The company has experienced remarkable momentum, achieving triple-digit year-over-year growth throughout 2023 and 2024. With additional capital now secured, Flare intends to deepen its presence in the European Union and further expand its operations in North America and Europe, ensuring that more organizations can benefit from its advanced solution. This rapid scaling and continued market traction demonstrate Flare’s ability to deliver real value to enterprises seeking to better understand and mitigate their external threat exposure.
Flare’s technology has proven instrumental for its customers, including those seeking to protect their critical infrastructure and intellectual property against threat actors. Notably, Kevin Johnson, CEO of Secure Ideas, has praised Flare’s unique data collection capabilities and how they directly integrate with business models and methodologies for more authentic, valuable threat assessments. Johnson’s endorsement underscores the platform’s capacity to enhance decision-making by promptly identifying attacker-used credentials and target systems—intelligence that illuminates where and how adversaries are operating. Such granular and actionable data provides organizations with a competitive advantage in staying one step ahead of attackers. By managing external threats more efficiently, security teams can reduce false positives and alert fatigue, ultimately focusing on the incidents and vulnerabilities that matter most.
This new round of funding also marks Flare’s ascendance to a leadership position in the evolving Security Intelligence and TEM market segments. The company’s approach leverages the latest advances in Language Models and data science, enabling the extraction of nuanced, insightful intelligence from one of the world’s most sophisticated cybercrime data sets. According to Jason Kong, Partner at Base10 Partners, Flare’s dedication to pushing the boundaries of threat exposure management and integrating advanced AI capabilities can drive substantial improvements in how organizations navigate the complexity of modern cyber threats. With its continual refinement of AI-based threat intelligence and a firm commitment to delivering meaningful insights at scale, Flare is poised to advance the state of cybersecurity intelligence well beyond existing norms. The company’s innovative work aligns seamlessly with a global drive toward more proactive and effective defense strategies that encompass advanced data analytics, multi-source intelligence aggregation, and continuous improvement in detection methodologies.
Demonstrating its innovation and leadership, Flare launched its Threat Flow module in August 2024. This offering represents the security industry’s first transparent generative AI application designed to provide timely, credible, and relevant insights into threat actor activity on the dark web. With a verified accuracy rate of 98%, Threat Flow empowers security teams to streamline research, accelerate reporting, and enhance their readiness. Such breakthroughs put Flare at the cutting edge of threat intelligence solutions, combining advanced technology with direct practical impact for organizations that must maintain a vigilant stance against the evolving tactics of cybercriminals. Industry analyst Richard Stiennon, a former Gartner VP and the current Chief Research Analyst at IT Harvest, recognizes the implications of this new round of investment. He anticipates that Flare’s enhanced exposure data collection capabilities and the company’s applied generative AI models will further strengthen threat intelligence use cases, providing an even more robust shield for those who rely on Flare to safeguard their digital ecosystems.
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