Qevlar AI, a company specializing in artificial intelligence solutions for security operations centers (SOCs), has secured $30 million in new funding to expand its autonomous AI SOC platform. The investment will support the company’s mission to transform how security teams handle threat alerts by converting alert investigations into actionable security insights. Ultimately, the platform aims to help organizations strengthen their security posture while reducing operational pressure on SOC analysts.
The funding round was jointly led by Partech and Forgepoint Capital International, with additional participation from EQT Ventures. This investment follows a period of rapid growth for Qevlar AI, during which the company expanded its global customer base and strengthened its presence across multiple regions. Today, its platform is used by large enterprises such as Mercedes-Benz and Sodexo, as well as leading managed security service providers (MSSPs) including Orange Cyberdefense, ECI, and Atos.
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Addressing the SOC Alert Overload
Modern SOC teams face an overwhelming number of alerts generated by security tools and monitoring systems. According to industry research, even a small number of attack scenarios can produce thousands of alerts. Furthermore, studies estimate that nearly 70% of the threat detection and response lifecycle is spent on alert triage and investigation alone. Because most organizations cannot scale their security teams at the same pace as threats, this creates a significant operational gap.
To address this challenge, Qevlar AI developed a platform that automates the investigation process. The system performs tasks such as data enrichment, identifying patterns in alerts, and generating investigation reports automatically. As a result, analysts can shift their focus from repetitive investigative work toward strategic tasks like threat hunting, proactive defense planning, and strengthening overall security architecture.
Organizations that have deployed Qevlar AI’s platform report significant operational improvements. For example, enterprises and MSSPs using the system have experienced a tenfold reduction in investigation time, reducing the process to approximately three minutes. In addition, the platform enables 100% of alerts to be investigated with full context, while also maintaining 24/7 continuous investigation capabilities. Importantly, this automation occurs without compromising the quality or depth of investigations.
Moving Toward Proactive Cyber Defense
With the newly secured funding, Qevlar AI plans to further evolve its platform beyond simple alert investigation. The company intends to transform its system into a comprehensive AI-powered SOC intelligence platform. Instead of only resolving alerts, the platform will analyze investigation outcomes to uncover patterns, root causes, and underlying security weaknesses within an organization’s infrastructure.
This intelligence-driven approach enables SOC teams to identify systemic vulnerabilities and address them before they generate new alerts. Consequently, organizations can gradually reduce the volume of security alerts they receive while improving long-term cyber resilience.
Abdelhalim Elmouadan, Head of Global Operational Security at Sodexo, highlighted the practical benefits of the platform, stating: “The business case was easy to validate due to the immediate ROI. We not only reduced operational costs significantly but also improved our operational security efficiency and excellence.”
Similarly, Frederic Zink, Managing Director, France at Orange Cyberdefense, emphasized the operational impact: “We can now detect threats more quickly and accurately, while focusing our analysts’ expertise on the most complex and critical incidents.”
A New Vision for AI-Powered SOCs
According to Qevlar AI’s leadership, traditional SOC metrics often focus on how quickly teams respond to alerts. However, this reactive approach does little to address the root causes behind security incidents. The company believes that analyzing alert patterns and investigation data can reveal deeper insights about organizational security weaknesses.
Ahmed Achchak, Qevlar AI Co-Founder and CEO, said: “Today, most SOCs measure success by how many alerts they tackle and how quickly they are resolved. But this is a firefighting approach that tells you nothing about your security posture. The only way to understand that is by being able to identify patterns in the trends, and that requires a completely new approach. We’re moving from autonomous alert investigations to an intelligent AI SOC platform that uncovers insights that transform how teams not only deal with alerts, but stop them from recurring. We’re putting out the fire and finding out what started it to make sure it doesn’t happen again.”
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Investor Confidence in AI Security Innovation
Investors also expressed strong confidence in the company’s direction. Forgepoint Capital International previously led Qevlar AI’s 2025 funding round and has now increased its support as the platform evolves into a more comprehensive SOC intelligence system.
Damien Henault, Managing Director & Partner at Forgepoint Capital International, stated:
“We have been impressed by Qevlar AI’s momentum over the last twelve months. It has seen exceptional commercial traction with both Fortune 500 enterprises and leading MSSPs, with its customer base expanding globally. It makes perfect sense for us to increase our backing as it evolves its offering from alerts investigation to a complete end-to-end next-generation AI SOC insights platform, extending all the way from Level 1 investigation to Level 2 enhanced detection and Level 3 remediation.”
Reza Malekzadeh, General Partner at Partech, added: “Qevlar AI stands out as a company with the potential to be genuinely transformative; rather than just allow SOCs to process alerts faster, it is giving them the power to tackle the underlying issues. The company’s success to date highlights just how much the market needs this approach.”
As cyber threats continue to evolve and alert volumes increase, platforms like Qevlar AI’s autonomous SOC system could play a crucial role in helping organizations shift from reactive security operations toward proactive, intelligence-driven cyber defense.
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